Objective:To systematically investigate the research status,research hotspots,and developmental trends of robotic techniques in stroke rehabilitation through bibliometric and visualization analysis.Methods:Literature ...Objective:To systematically investigate the research status,research hotspots,and developmental trends of robotic techniques in stroke rehabilitation through bibliometric and visualization analysis.Methods:Literature published in the Web of Science from 2004 to 2024 were screened.VOSviewer,CiteSpace,R Software,Microsoft Office Excel 2021,and“bibliometric.com”were employed to conduct bibliometric analysis and network visualization.Results:A total of 3,704 documents were retrieved.Northwestern University was the most productive institution.Krebs Hermano Igo was the most prolific author.The Journal of NeuroEngineering and Rehabilitation had the highest publication volume.The United States currently holds a leading position in various aspects,including the overall volume of publications,institutional contributions,author output,and funding support.Keywords such as“deep learning”“physical human-robot interaction”“wearable robotics”“mirror therapy”“telerehabilitation”“soft robotics”“augmented reality”“functional near-infrared spectroscopy,”and“impedance control”highlight the current research hotspots and frontiers.Conclusion:Rehabilitation robotics is a field with vigorous growth,progressively advancing toward intelligent,personalized,accessible,and efficient rehabilitation solutions with substantial future potential.展开更多
BACKGROUND Colorectal cancer(CRC)is the third-most prevalent cancer and the cancer with the second-highest mortality rate worldwide,representing a high public health burden.Deep learning(DL)offers advantages in the di...BACKGROUND Colorectal cancer(CRC)is the third-most prevalent cancer and the cancer with the second-highest mortality rate worldwide,representing a high public health burden.Deep learning(DL)offers advantages in the diagnosis,identification,localization,classification and prognosis of CRC patients.However,few bibliometric analyses of research hotspots and trends in the field have been performed.AIM To use bibliometric approaches to analyze and visualize the current research state and development trend of DL in CRC as well as to anticipate future research directions and hotspots.METHODS Datasets were retrieved from the Web of Science Core Collection for the period January 2011 to December 2023.Scimago Graphica(1.0.45),VOSviewer(1.6.20)and CiteSpace(6.3.1)were used to analyze and visualize the nation,institution,journal,author,reference and keyword indicators.Origin(2022)was utilized for plotting,and Excel(2021)was used to construct the tables.RESULTS A total of 1275 publications in 538 journals from 74 countries and 2267 institutions were collected.The number of annual publications has increased over time.China(371,29.1%),the United States(265,20.8%)and Japan(155,12.2%)contributed significantly to the number of articles published,accounting for 62.1%of the total publications.The United States had the strongest ties to other nations.Sun Yat-sen University in China had the highest number of publications(32).The journal with the most publications was Scientific Reports(34,Q2),whereas Gastrointestinal Endoscopy had the most co-citations(1053,Q1).Kather JN,was the author with the most articles(12)and co-citations(287).The most frequently cited reference was Deep Residual Learning for Image Recognition.Keywords were divided into six clusters,with“colorectal cancer”(12.34)having the highest outbreak intensity.CONCLUSION This study highlights the current status and most active directions of the use of DL in CRC.This approach has important applications in the identification,diagnosis,localization,classification and prognosis of the disease and will remain a central focus in the future.展开更多
In order to gain insight into the current research status and development trend of problem-based learning(PBL)in colleges and universities,this study employs the bibliometric method to conduct statistical and analytic...In order to gain insight into the current research status and development trend of problem-based learning(PBL)in colleges and universities,this study employs the bibliometric method to conduct statistical and analytical studies based on the examination of journal papers and review papers within the Web of Science(WOS)database.The objective is to provide a reference point for research in related fields.The findings indicate a sustained expansion in PBL research output at universities,with the United States accounting for most documents in the field,while European research institutions such as Aalborg University and Maastricht University are at the forefront.Nevertheless,the density of collaborative networks between authors is relatively low,and cross-institutional and interdisciplinary collaboration still requires further strengthening.The majority of research results are published in academic journals such as Academic Medicine and the International Journal of Sustainability in Higher Education.Presently,the focal point of PBL research in colleges and universities is undergoing a transition from a“single-discipline focus”to an“interdisciplinary integration.”This integration is profoundly intertwined with the nascent fields of modern educational technology and education for sustainable development,thereby offering a novel avenue for the advancement of pedagogical approaches and educational equity.展开更多
Objective:To analyze the current status,hotspot and trend of mental health research in patients with chronic kidney disease at home and abroad.Methods:China National Knowledge Infrastructure,WanFang,VIP,China Biology ...Objective:To analyze the current status,hotspot and trend of mental health research in patients with chronic kidney disease at home and abroad.Methods:China National Knowledge Infrastructure,WanFang,VIP,China Biology Medicine database,PubMed,and Web of Science core collection database were used as search sources from January 2004 to December 2024,and CiteSpace software was used for visual analysis and knowledge mapping.Results:A total of 2059 Chinese and 1678 foreign literatures were included.The number of publications showed a fluctuating upward trend,but the collaboration among authors was relatively loose.Negative psychology,such as depression and anxiety,as well as the quality of life of chronic kidney disease patients,were the main research hotspots.Conclusion:In the future,it is necessary to enhance cooperation and communication among researchers,continue to explore the mechanism of mental health,optimize research designs,innovate psychological nursing intervention measures,and focus on improving the psychological resilience and social support levels of patients.展开更多
AIM:To perform a bibliometric analysis of publications focusing on inflammatory mechanisms in glaucoma,thereby comprehensively understanding the current research status and identifying potential frontier directions fo...AIM:To perform a bibliometric analysis of publications focusing on inflammatory mechanisms in glaucoma,thereby comprehensively understanding the current research status and identifying potential frontier directions for future studies.METHODS:A systematic search was conducted in the Web of Science Core Collection(WoSCC)database to retrieve relevant literature published from January 1,2000,to August 31,2025(data accessed on September 12,2025).Multiple data visualization tools were employed to conduct in-depth analyses of the included publications,covering aspects such as publication quantity and quality,evolutionary trends of research hotspots,keyword cooccurrence networks,and collaborative patterns among countries/regions,institutions,and authors.RESULTS:A total of 3381 articles related to glaucoma inflammation were extracted from WoSCC.The analysis showed that the USA had the highest research output in this field(29.04%,n=982),followed by China(18.40%,n=622)and UK(6.01%,n=203).Based on citation frequency and burst intensity,the USA also ranked as the most influential country.Baudouin C and Sun X were identified as the most productive authors,while Journal of Glaucoma and Investigative Ophthalmology&Visual Science were the journals with the highest number of published relevant articles.Additionally,keyword analysis revealed that“neuroinflammation”,“retinal ganglion cells(RGCs)”,“pathophysiology”,and“traditional Chinese medicine”are emerging research hotspots in the field of immuneinflammatory responses in glaucoma.CONCLUSION:This study presents a comprehensive bibliometric overview of research on glaucoma-related inflammation,indicating that this field has received extensive scientific attention with a steady upward trend in research activity.Furthermore,it establishes a theoretical basis for the development of neuroinflammation-targeted therapeutic strategies for glaucoma and emphasizes the necessity of strengthening interdisciplinary collaboration to promote the clinical translation of research findings.展开更多
Earthquakes are highly destructive spatio-temporal phenomena whose analysis is essential for disaster preparedness and risk mitigation.Modern seismological research produces vast volumes of heterogeneous data from sei...Earthquakes are highly destructive spatio-temporal phenomena whose analysis is essential for disaster preparedness and risk mitigation.Modern seismological research produces vast volumes of heterogeneous data from seismic networks,satellite observations,and geospatial repositories,creating the need for scalable infrastructures capable of integrating and analyzing such data to support intelligent decision-making.Data warehousing technologies provide a robust foundation for this purpose;however,existing earthquake-oriented data warehouses remain limited,often relying on simplified schemas,domain-specific analytics,or cataloguing efforts.This paper presents the design and implementation of a spatio-temporal data warehouse for seismic activity.The framework integrates spatial and temporal dimensions in a unified schema and introduces a novel array-based approach for managing many-to-many relationships between facts and dimensions without intermediate bridge tables.A comparative evaluation against a conventional bridge-table schema demonstrates that the array-based design improves fact-centric query performance,while the bridge-table schema remains advantageous for dimension-centric queries.To reconcile these trade-offs,a hybrid schema is proposed that retains both representations,ensuring balanced efficiency across heterogeneous workloads.The proposed framework demonstrates how spatio-temporal data warehousing can address schema complexity,improve query performance,and support multidimensional visualization.In doing so,it provides a foundation for integrating seismic analysis into broader big data-driven intelligent decision systems for disaster resilience,risk mitigation,and emergency management.展开更多
Objective:To conduct a visual analysis of the current status and hotspots of adolescent obesity research based on CiteSpace,to provide evidence-based basis for research directions and ideas in this field.Methods:This ...Objective:To conduct a visual analysis of the current status and hotspots of adolescent obesity research based on CiteSpace,to provide evidence-based basis for research directions and ideas in this field.Methods:This study used subject words and free words to retrieve literature from China National Knowledge Infrastructure,Wanfang Database,and VIP Core database.The retrieval time was from January 1,2010 to December 31,2024.CiteSpace6.3.R2 software was used to perform cluster sub-visualization analysis of the number of articles,authors,and keywords of literature on adolescent obesity.Results:A total of 523 Chinese articles were included.Since 2010,the number of articles on adolescent obesity in China showed an increasing trend,with an average annual growth rate of 12.3%.From the perspective of spatial distribution,more regions,institutions,and researchers have begun to pay attention to the research in this field,exploring the impact of dietary imbalance and insufficient exercise on adolescent obesity in different regions and the management methods.From the perspective of cooperation,the cooperation of various regions and institutions showed the characteristics of regional concentration or professional concentration,mainly distributed in medicine and physical education.High-frequency keywords included“living standard”,“exercise intervention”,“physical activity”,“mental health”,“body fat rate”,and“body fat rate”.After 2020,“intelligent weight management platform”and“remote follow-up”emerged to reflect the deep integration of technology and health management.Keyword cluster analysis showed that research hotspots focused on the etiological mechanism of obesity,intervention models,regional characteristics in different regions,and the risk of obesity-related metabolic diseases.With the launch of the national“Weight Management Year”initiative,research has been tilted to community health promotion and multi-sectoral collaboration,focusing on obesity prevention of preschool children and AI-driven personalized intervention programs[1].However,there is a bottleneck of lack of tracking mechanisms for long-term effects such as adolescent development and metabolic adaptability.Conclusions:The research status and hotspots of adolescent obesity have gradually shifted from early etiological exploration to precise intervention models driven by technology empowerment.In the future,researchers can build an obesity prevention and control network covering the whole life cycle and the whole region through the three-dimensional drive of“technological innovation×policy empowerment×disciplinary integration”,and eventually achieve the goal of reducing the obesity rate in adolescents.展开更多
AIM:To provide a comprehensive review of the advances in research on diabetes-associated dry eye(DADE),highlighting its pathophysiological mechanisms,risk factors,and demographic characteristics,laying the foundation ...AIM:To provide a comprehensive review of the advances in research on diabetes-associated dry eye(DADE),highlighting its pathophysiological mechanisms,risk factors,and demographic characteristics,laying the foundation for further investigation into its pathogenesis and treatment strategies.METHODS:A systemic review of the documents related to DADE had been performed based on the Web of Science database prior to achieving the plain text files of authors,titles,journals,and abstracts which afterwards had been imported into Citespace and VOSviewer software for data cleansing.The visual analysis was implemented from the following aspects:journals’publications,author and national cooperation,keyword co-occurrence,timeline analysis,and burst detection.RESULTS:The 318 documents in 167 journals had been incorporated with the overall annual citations and annual publications respectively growing significantly since 2014 and 2016.The keyword co-occurrence networks formed 4 clusters,with the representative keywords being dry eye,diabetes mellitus,prevalence,and diabetic retinopathy.Both the timeline map and the burst detection demonstrated that in the exploration of the pathogenesis of DADE,initial research was dedicated to Sjögren’s syndrome,followed by cross-sectional statistical analysis of the pertinent contributing factors of DADE using online databases.Precisely the oxidative stress seemed to surge into the research spotlight presently.The key pathogenic mechanisms of DADE include inflammation,oxidative stress and corneal neuropathy,contributing to the development of dry eye symptoms.CONCLUSION:Age,gender,diabetes duration,and diabetic retinopathy are strongly associated with the development of DADE,but the impact of other systemic factors require further investigation.With high prevalence of dry eye in Asia,valuable resources like the Korea National Health and Nutrition Examination Survey(KNHANES)database offer crucial data for developing risk prediction models for DADE.Building risk prediction models using machine learning algorithms is a promising future research direction,enabling physicians to identify high-risk individuals and implement early interventions.展开更多
AIM:To gain insight into the future research directions in scleral contact lenses(SCLs)through a comprehensive bibliometrics study.METHODS:The publications related to SCLs were screened from the Web of Science Core Co...AIM:To gain insight into the future research directions in scleral contact lenses(SCLs)through a comprehensive bibliometrics study.METHODS:The publications related to SCLs were screened from the Web of Science Core Collection(WOSCC)database.All bibliographic information was extracted and used to conduct a performance analysis.CiteSpace and VOSviewer were employed to visualize annual publication counts,journals,authors,countries,institutions,collaboration networks,keywords,and references.RESULTS:A total of 498 articles were included in our analysis and the number of publications about SCLs showed a significant yearly increase.These publications predominantly emanated from 523 institutions across 38 countries,with the United States and Australia leading in frequency.Totally 1361 authors were identified,among whom Vincent J.Stephen exhibited the highest number of publications,while Jacobs S.Deborah received the most citations.Notably,the journal Contact Lens&Anterior Eye emerged as the primary publisher of studies,and it also boasted the highest citation rate.“Fluid-ventilated,gas-permeable scleral contact lens is an effective option for managing severe ocular surface disease and many corneal disorders that would otherwise require penetrating keratoplasty”was the most cited paper published in eye&contact lens in 2005.The most prevalent keywords encompassed“keratoconus”,“scleral contact lenses”,“management”,“contact lenses”,“scleral contact lens”,“ocular surface disease”,“dry eye”,and“contact lens”.CONCLUSION:Although SCLs have demonstrated significant potential in ophthalmological care,the results offer valuable insights pertinent to future research directions and clinical practice.Greater emphasis should be placed on developing enhancements in design,materials,and fitting technique,as well as on reducing the complications associated with SCLs.展开更多
Background: Scar contractions caused by hand burns seriously impact both the function and appearance of the hand.Consequently,post-burn hand reconstruction is a primary focus of secondary reconstructive surgery perfor...Background: Scar contractions caused by hand burns seriously impact both the function and appearance of the hand.Consequently,post-burn hand reconstruction is a primary focus of secondary reconstructive surgery performed within the first 10 years after a burn injury.This study aimed to identify developmental trends and research hotspots in post-burn hand reconstruction,providing insights and recommendations for researchers.Methods: Bibliometric and visualization analyses were conducted using Cite Space v6.4.R1(64-bit) and VOS viewer.The Web of Science Core Collection served as the data source.A total of 136 articles between 1997 and2025 were included based on the following keywords: “postburn hand reconstruction” or “postburn hand” or“scar contraction hand deformity.”Results: The field of post-burn hand reconstruction is advancing,as indicated by the overall and annual increase in publications.The United States leads in number of published papers.However,major institutions show low centrality,indicating weak collaboration between countries and regions,with research still dominated by singlecenter studies.The top three most prolific authors were Paul P M van Zuijlen,Fatih Uyghur,and Ersin Uyghur.The keywords “double Z-plasty” and the cluster “flap” not only have high emergence intensity but also appear frequently in recent studies,marking them as current research hotspots.Conclusion: The lack of long-term research and consensus limits further advancements in post-burn hand reconstruction.To address this,multi-center and multi-disciplinary collaborations should be encouraged.Additionally,integrating basic medical research with biomedical engineering could enhance the management and outcomes of post-burn hand reconstruction.展开更多
Under the trend of economic globalization,the importance of supply chains has gradually become prominent,especially with the transformation and upgrading of China’s industrial chains in recent years.Supply chain tran...Under the trend of economic globalization,the importance of supply chains has gradually become prominent,especially with the transformation and upgrading of China’s industrial chains in recent years.Supply chain transformation has emerged as a significant focus of current academic research,and the construction of smart supply chains represents an inevitable development trend.This paper utilizes 1,051 research articles on smart supply chains published in core journals on China National Knowledge Infrastructure(CNKI)from 2014 to 2024 as the data source.It analyzes the literature data using CiteSpace software,visually exploring and revealing the frontiers and hotspots of domestic research on smart supply chains.The data analysis reveals that academic research in this field is at a stage of steady and healthy development.Domestic research trends include the cooperative mechanisms of smart supply chains in manufacturing,the operational mechanisms of smart supply chains in agriculture,and systematic research on influencing factors of smart supply chains.展开更多
Objective:To conduct a visual analysis of the current status and hotspots in the postoperative nursing of ureterocutaneostomy based on CiteSpace,in order to provide an evidence-based basis for the research direction a...Objective:To conduct a visual analysis of the current status and hotspots in the postoperative nursing of ureterocutaneostomy based on CiteSpace,in order to provide an evidence-based basis for the research direction and thinking in this field.Methods:In this study,the subject words and free words were used to search the China National Knowledge Infrastructure(CNKI),Wanfang Database,VIP Database,and Web of Science Core Database as the literature sources.The search time limit was from January 1,1999 to December 31,2024.CiteSpace 6.3.R2 software was used to conduct a visual analysis of the publication volume,authors,and keyword clusters of the literature related to ureterocutaneostomy nursing.Results:A total of 129 Chinese literary works were finally included.The results showed that 2019 was the peak year of publication volume(20 domestic articles);the First Affiliated Hospital of Nanchang University was the institution with the highest publication volume(13 articles);the high-frequency keywords included“bladder cancer”(42 times),“nursing”(29 times),and“quality of life”(16 times);the keyword cluster analysis showed that the research hotspots were concentrated in complication management,continuous nursing,and the application of intelligent technology.Conclusion:The nursing of ureterocutaneostomy has developed from a single technical operation to a multi-dimensional comprehensive intervention system,and the nursing shows a trend of multidisciplinary integration.In the future,it is necessary to strengthen the research and development of intelligent technology,the promotion of standardized nursing processes,and the balanced allocation of regional resources.展开更多
Objective:This study aims to analyze the research hotspots and trends in nursing care for children with Kawasaki disease.Methods:The study utilized the CiteSpace 6.1.R6 software to visualize nursing-related research o...Objective:This study aims to analyze the research hotspots and trends in nursing care for children with Kawasaki disease.Methods:The study utilized the CiteSpace 6.1.R6 software to visualize nursing-related research on Kawasaki disease in children,drawing from articles published in the CNKI and Web of Science core collection databases from January 1,2014,to January 1,2024.Key analysis components included authors,institutions,and keywords,supported by the creation of a corresponding knowledge map.Results:Literature Publications:Over the past decade,the analysis encompassed a total of 309 Chinese articles on nursing care for children with Kawasaki disease,with an average annual publication rate of 30.9 articles.Additionally,251 foreign language articles were scrutinized,exhibiting an average annual publication rate of 25.1 articles.Author and Institution Analysis:In Chinese literature,the notable figure of Huang Rimei emerged as a prolific author,with the Children's Hospital Affiliated with Zhengzhou University standing out as a high-yielding institution.Conversely,in English literature,the prolific authors Burns and Jane C were prominent,alongside the University of California,San Diego,which emerged as a high-yielding institution.Keyword and Research Hotspots Analysis:The focal points of research in Chinese literature revolved around continuous nursing,cardiovascular complications,clinical nursing pathways,rehabilitation effects,holistic nursing,and gamma globulin.Conversely,English literature emphasized research hotspots such as cardiovascular complications,treatment modalities,diagnostic approaches,long-term management strategies,gamma globulin therapy,steroid pulse therapy,and pediatric multisystem inflammatory syndrome.Conclusions:The quantity of Chinese literature concerning nursing care for children with Kawasaki disease appears comparatively scant,underscored by an uneven distribution of issuing institutions and a lack of influence.To address this,future endeavors should prioritize bolstering collaboration across diverse regions and institutions,conducting multi-center,cross-regional research,implementing clinical nursing pathways,and augmenting the continuity of care.Conversely,the upsurge in English literature publications regarding nursing care for children with Kawasaki disease signals a burgeoning interest,primarily concentrated on treatment modalities.This trend advocates for the integration of medical and nursing care and emphasizes the importance of remaining abreast of advancements in managing Kawasaki disease in children.展开更多
Objective To analyze the current research status and development trend of active surveillance of drug safety in China,and to provide reference and suggestions for future research.Methods Using bibliometric methods and...Objective To analyze the current research status and development trend of active surveillance of drug safety in China,and to provide reference and suggestions for future research.Methods Using bibliometric methods and with the help of the CiteSpace 6.1.R6,the literature on active surveillance of drug safety in CNKI from 2010 to 2022 was visualized and analyzed in terms of authors,institutions and keywords.Results and Conclusion The research on active surveillance of drug safety in China started late and is in a stable development period.Some Chinese scholars have done more work on active surveillance of drug safety.Additionally,a number of institutions have published some articles and surveillance objects,surveillance methods,and surveillance results are the main research content.However,the cross-institutional cooperation is not close.The traditional Chinese medicine injection,centralized surveillance,and automatic surveillance are the hot spots of research.It is the latest research frontier to use the Chinese hospital pharmacovigilance system to actively monitor drug safety.At present,the research related to active surveillance of drug safety in China is still in the early stage,and more in-depth research is needed to follow up.展开更多
Objective: To analyze clinical psychological nursing research hotspots in China and variation trends in order to provide reference points on the current state of development of clinical psychological nursing and futur...Objective: To analyze clinical psychological nursing research hotspots in China and variation trends in order to provide reference points on the current state of development of clinical psychological nursing and future research hotspots.Method: Clinical psychological nursing research literature sourced from Wanfang Data for the three periods of 2007-2009, 2010-2012, and 2013-2015 were selected as the research sample. A bibliographic co-occurrence analysis system(BICOMB software) was used to perform keyword word frequency analysis and generate a keyword co-occurrence matrix. In addition, Ucinet software's Netdraw tool was used to create visualized network diagrams.Results: A total of 27890 articles were retrieved, and word frequency analysis revealed that the highestfrequency keywords consisted of anxiety, depression, the elderly, expectant women, coronary heart disease, diabetes, breast cancer, perioperative period, quality of life, and psychological intervention.Research hotspot analysis revealed that consistent hotspots comprised anxiety, depression, health education, and perioperative period; expectant women became a hotspot during 2010-2012, and quality of life and efficacy became hotspots during 2013-2015.Conclusions: In addition to the care process, clinical psychological nursing research hotspots in China have increasingly included the effectiveness of psychological nursing and impact on patient quality of life. In addition, research hotspots have been influenced by the incidence of illnesses and people's health consciousness.展开更多
Connected and autonomous vehicle formation(CAVF)technology is considerably important for improving transportation efficiency,optimizing traffic flow,and reduc-ing energy consumption.Despite the extensive research con-...Connected and autonomous vehicle formation(CAVF)technology is considerably important for improving transportation efficiency,optimizing traffic flow,and reduc-ing energy consumption.Despite the extensive research con-ducted on trajectory tracking control and other aspects of CAVF,the quality of the extant literature varies consider-ably,and research content remains scattered.To better pro-mote the sustainable and healthy development of the CAVF field,this paper employs the mapping knowledge domain(MKD)methodology to comprehensively review and visual-ize the current research status in this domain.Based on this review,research themes,hotspots,research challenges,and future development directions are proposed.The findings suggest that the research on CAVF can be categorized into three primary developmental stages.China and the United States are the primary countries conducting CAVF research.There is a positive correlation between economic develop-ment and the generation of scientific research outcomes.Re-search institutions are predominantly concentrated in univer-sities.The field exhibits significant interdisciplinary and inte-gration characteristics,forming key research personnel and teams.It is expected that future research will concentrate on topics such as deep learning,trajectory optimization,energy management strategy,mixed vehicle platoon,and other re-lated subjects.Research on cognition-driven intelligent for-mation decision-making mechanisms,resilience-oriented for-mation safety assurance systems,multiobjective collabora-tive formation optimization strategies,and digital twin-driven formation system validation platforms represents key future development directions.展开更多
The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical rel...The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.展开更多
Graphical methods are used for construction.Data analysis and visualization are an important area of applications of big data.At the same time,visual analysis is also an important method for big data analysis.Data vis...Graphical methods are used for construction.Data analysis and visualization are an important area of applications of big data.At the same time,visual analysis is also an important method for big data analysis.Data visualization refers to data that is presented in a visual form,such as a chart or map,to help people understand the meaning of the data.Data visualization helps people extract meaning from data quickly and easily.Visualization can be used to fully demonstrate the patterns,trends,and dependencies of your data,which can be found in other displays.Big data visualization analysis combines the advantages of computers,which can be static or interactive,interactive analysis methods and interactive technologies,which can directly help people and effectively understand the information behind big data.It is indispensable in the era of big data visualization,and it can be very intuitive if used properly.Graphical analysis also found that valuable information becomes a powerful tool in complex data relationships,and it represents a significant business opportunity.With the rise of big data,important technologies suitable for dealing with complex relationships have emerged.Graphics come in a variety of shapes and sizes for a variety of business problems.Graphic analysis is first in the visualization.The step is to get the right data and answer the goal.In short,to choose the right method,you must understand each relative strengths and weaknesses and understand the data.Key steps to get data:target;collect;clean;connect.展开更多
When conducting company performance evaluations,the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market.Gephi is an efficient tool ...When conducting company performance evaluations,the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market.Gephi is an efficient tool for data analysis and visualization in the era of big data.It can convert the evaluation results of all listed companies into nodes and edges,and directly display them in the form of graphs,thus making up for the defects of traditional methods.This paper will take all the listed companies in the Shanghai and Shenzhen Stock Exchange as the analysis object.First uses tushare and web crawlers to collect the financial statement data of these companies.And then,uses the Economic Value Added model to calculate the EVA of each listed company and build graph data.Next,import the graph data into gephi to generate the distribution graph of all listed companies’performance,and summarize the distribution characteristics of business performance.Finally,select a listed company that you want to analyze in detail,using the traditional DuPont analysis method to conduct micro level visualization analysis of the business performance to find the main factors affecting the company’s operating performance.Incorporating gephi into traditional performance analysis methods will make the results of traditional analytical methods more effective and complete.展开更多
文摘Objective:To systematically investigate the research status,research hotspots,and developmental trends of robotic techniques in stroke rehabilitation through bibliometric and visualization analysis.Methods:Literature published in the Web of Science from 2004 to 2024 were screened.VOSviewer,CiteSpace,R Software,Microsoft Office Excel 2021,and“bibliometric.com”were employed to conduct bibliometric analysis and network visualization.Results:A total of 3,704 documents were retrieved.Northwestern University was the most productive institution.Krebs Hermano Igo was the most prolific author.The Journal of NeuroEngineering and Rehabilitation had the highest publication volume.The United States currently holds a leading position in various aspects,including the overall volume of publications,institutional contributions,author output,and funding support.Keywords such as“deep learning”“physical human-robot interaction”“wearable robotics”“mirror therapy”“telerehabilitation”“soft robotics”“augmented reality”“functional near-infrared spectroscopy,”and“impedance control”highlight the current research hotspots and frontiers.Conclusion:Rehabilitation robotics is a field with vigorous growth,progressively advancing toward intelligent,personalized,accessible,and efficient rehabilitation solutions with substantial future potential.
基金Supported by Science and Technology Project of Huzhou City,Zhejiang Province,No.2023GY33.
文摘BACKGROUND Colorectal cancer(CRC)is the third-most prevalent cancer and the cancer with the second-highest mortality rate worldwide,representing a high public health burden.Deep learning(DL)offers advantages in the diagnosis,identification,localization,classification and prognosis of CRC patients.However,few bibliometric analyses of research hotspots and trends in the field have been performed.AIM To use bibliometric approaches to analyze and visualize the current research state and development trend of DL in CRC as well as to anticipate future research directions and hotspots.METHODS Datasets were retrieved from the Web of Science Core Collection for the period January 2011 to December 2023.Scimago Graphica(1.0.45),VOSviewer(1.6.20)and CiteSpace(6.3.1)were used to analyze and visualize the nation,institution,journal,author,reference and keyword indicators.Origin(2022)was utilized for plotting,and Excel(2021)was used to construct the tables.RESULTS A total of 1275 publications in 538 journals from 74 countries and 2267 institutions were collected.The number of annual publications has increased over time.China(371,29.1%),the United States(265,20.8%)and Japan(155,12.2%)contributed significantly to the number of articles published,accounting for 62.1%of the total publications.The United States had the strongest ties to other nations.Sun Yat-sen University in China had the highest number of publications(32).The journal with the most publications was Scientific Reports(34,Q2),whereas Gastrointestinal Endoscopy had the most co-citations(1053,Q1).Kather JN,was the author with the most articles(12)and co-citations(287).The most frequently cited reference was Deep Residual Learning for Image Recognition.Keywords were divided into six clusters,with“colorectal cancer”(12.34)having the highest outbreak intensity.CONCLUSION This study highlights the current status and most active directions of the use of DL in CRC.This approach has important applications in the identification,diagnosis,localization,classification and prognosis of the disease and will remain a central focus in the future.
文摘In order to gain insight into the current research status and development trend of problem-based learning(PBL)in colleges and universities,this study employs the bibliometric method to conduct statistical and analytical studies based on the examination of journal papers and review papers within the Web of Science(WOS)database.The objective is to provide a reference point for research in related fields.The findings indicate a sustained expansion in PBL research output at universities,with the United States accounting for most documents in the field,while European research institutions such as Aalborg University and Maastricht University are at the forefront.Nevertheless,the density of collaborative networks between authors is relatively low,and cross-institutional and interdisciplinary collaboration still requires further strengthening.The majority of research results are published in academic journals such as Academic Medicine and the International Journal of Sustainability in Higher Education.Presently,the focal point of PBL research in colleges and universities is undergoing a transition from a“single-discipline focus”to an“interdisciplinary integration.”This integration is profoundly intertwined with the nascent fields of modern educational technology and education for sustainable development,thereby offering a novel avenue for the advancement of pedagogical approaches and educational equity.
基金Tianjin Medical Key Discipline Construction Project(Project No.:TJYXZDXK-071C)。
文摘Objective:To analyze the current status,hotspot and trend of mental health research in patients with chronic kidney disease at home and abroad.Methods:China National Knowledge Infrastructure,WanFang,VIP,China Biology Medicine database,PubMed,and Web of Science core collection database were used as search sources from January 2004 to December 2024,and CiteSpace software was used for visual analysis and knowledge mapping.Results:A total of 2059 Chinese and 1678 foreign literatures were included.The number of publications showed a fluctuating upward trend,but the collaboration among authors was relatively loose.Negative psychology,such as depression and anxiety,as well as the quality of life of chronic kidney disease patients,were the main research hotspots.Conclusion:In the future,it is necessary to enhance cooperation and communication among researchers,continue to explore the mechanism of mental health,optimize research designs,innovate psychological nursing intervention measures,and focus on improving the psychological resilience and social support levels of patients.
基金Supported by the National Natural Science Foundation of China(No.82074500)Beijing Natural Science Foundation(No.7252273)+2 种基金CACMS Innovation Fund(No.CI2021A02605)Administration of Traditional Chinese Medicine of Zhejiang Province(No.2024ZR029)Science and Technology Program of Wenzhou City(No.Y2023210).
文摘AIM:To perform a bibliometric analysis of publications focusing on inflammatory mechanisms in glaucoma,thereby comprehensively understanding the current research status and identifying potential frontier directions for future studies.METHODS:A systematic search was conducted in the Web of Science Core Collection(WoSCC)database to retrieve relevant literature published from January 1,2000,to August 31,2025(data accessed on September 12,2025).Multiple data visualization tools were employed to conduct in-depth analyses of the included publications,covering aspects such as publication quantity and quality,evolutionary trends of research hotspots,keyword cooccurrence networks,and collaborative patterns among countries/regions,institutions,and authors.RESULTS:A total of 3381 articles related to glaucoma inflammation were extracted from WoSCC.The analysis showed that the USA had the highest research output in this field(29.04%,n=982),followed by China(18.40%,n=622)and UK(6.01%,n=203).Based on citation frequency and burst intensity,the USA also ranked as the most influential country.Baudouin C and Sun X were identified as the most productive authors,while Journal of Glaucoma and Investigative Ophthalmology&Visual Science were the journals with the highest number of published relevant articles.Additionally,keyword analysis revealed that“neuroinflammation”,“retinal ganglion cells(RGCs)”,“pathophysiology”,and“traditional Chinese medicine”are emerging research hotspots in the field of immuneinflammatory responses in glaucoma.CONCLUSION:This study presents a comprehensive bibliometric overview of research on glaucoma-related inflammation,indicating that this field has received extensive scientific attention with a steady upward trend in research activity.Furthermore,it establishes a theoretical basis for the development of neuroinflammation-targeted therapeutic strategies for glaucoma and emphasizes the necessity of strengthening interdisciplinary collaboration to promote the clinical translation of research findings.
文摘Earthquakes are highly destructive spatio-temporal phenomena whose analysis is essential for disaster preparedness and risk mitigation.Modern seismological research produces vast volumes of heterogeneous data from seismic networks,satellite observations,and geospatial repositories,creating the need for scalable infrastructures capable of integrating and analyzing such data to support intelligent decision-making.Data warehousing technologies provide a robust foundation for this purpose;however,existing earthquake-oriented data warehouses remain limited,often relying on simplified schemas,domain-specific analytics,or cataloguing efforts.This paper presents the design and implementation of a spatio-temporal data warehouse for seismic activity.The framework integrates spatial and temporal dimensions in a unified schema and introduces a novel array-based approach for managing many-to-many relationships between facts and dimensions without intermediate bridge tables.A comparative evaluation against a conventional bridge-table schema demonstrates that the array-based design improves fact-centric query performance,while the bridge-table schema remains advantageous for dimension-centric queries.To reconcile these trade-offs,a hybrid schema is proposed that retains both representations,ensuring balanced efficiency across heterogeneous workloads.The proposed framework demonstrates how spatio-temporal data warehousing can address schema complexity,improve query performance,and support multidimensional visualization.In doing so,it provides a foundation for integrating seismic analysis into broader big data-driven intelligent decision systems for disaster resilience,risk mitigation,and emergency management.
文摘Objective:To conduct a visual analysis of the current status and hotspots of adolescent obesity research based on CiteSpace,to provide evidence-based basis for research directions and ideas in this field.Methods:This study used subject words and free words to retrieve literature from China National Knowledge Infrastructure,Wanfang Database,and VIP Core database.The retrieval time was from January 1,2010 to December 31,2024.CiteSpace6.3.R2 software was used to perform cluster sub-visualization analysis of the number of articles,authors,and keywords of literature on adolescent obesity.Results:A total of 523 Chinese articles were included.Since 2010,the number of articles on adolescent obesity in China showed an increasing trend,with an average annual growth rate of 12.3%.From the perspective of spatial distribution,more regions,institutions,and researchers have begun to pay attention to the research in this field,exploring the impact of dietary imbalance and insufficient exercise on adolescent obesity in different regions and the management methods.From the perspective of cooperation,the cooperation of various regions and institutions showed the characteristics of regional concentration or professional concentration,mainly distributed in medicine and physical education.High-frequency keywords included“living standard”,“exercise intervention”,“physical activity”,“mental health”,“body fat rate”,and“body fat rate”.After 2020,“intelligent weight management platform”and“remote follow-up”emerged to reflect the deep integration of technology and health management.Keyword cluster analysis showed that research hotspots focused on the etiological mechanism of obesity,intervention models,regional characteristics in different regions,and the risk of obesity-related metabolic diseases.With the launch of the national“Weight Management Year”initiative,research has been tilted to community health promotion and multi-sectoral collaboration,focusing on obesity prevention of preschool children and AI-driven personalized intervention programs[1].However,there is a bottleneck of lack of tracking mechanisms for long-term effects such as adolescent development and metabolic adaptability.Conclusions:The research status and hotspots of adolescent obesity have gradually shifted from early etiological exploration to precise intervention models driven by technology empowerment.In the future,researchers can build an obesity prevention and control network covering the whole life cycle and the whole region through the three-dimensional drive of“technological innovation×policy empowerment×disciplinary integration”,and eventually achieve the goal of reducing the obesity rate in adolescents.
基金Supported by the Exploratory Project of The Second Affiliated Hospital of Xi’an Jiaotong University[No.2020YJ(ZYTS)154].
文摘AIM:To provide a comprehensive review of the advances in research on diabetes-associated dry eye(DADE),highlighting its pathophysiological mechanisms,risk factors,and demographic characteristics,laying the foundation for further investigation into its pathogenesis and treatment strategies.METHODS:A systemic review of the documents related to DADE had been performed based on the Web of Science database prior to achieving the plain text files of authors,titles,journals,and abstracts which afterwards had been imported into Citespace and VOSviewer software for data cleansing.The visual analysis was implemented from the following aspects:journals’publications,author and national cooperation,keyword co-occurrence,timeline analysis,and burst detection.RESULTS:The 318 documents in 167 journals had been incorporated with the overall annual citations and annual publications respectively growing significantly since 2014 and 2016.The keyword co-occurrence networks formed 4 clusters,with the representative keywords being dry eye,diabetes mellitus,prevalence,and diabetic retinopathy.Both the timeline map and the burst detection demonstrated that in the exploration of the pathogenesis of DADE,initial research was dedicated to Sjögren’s syndrome,followed by cross-sectional statistical analysis of the pertinent contributing factors of DADE using online databases.Precisely the oxidative stress seemed to surge into the research spotlight presently.The key pathogenic mechanisms of DADE include inflammation,oxidative stress and corneal neuropathy,contributing to the development of dry eye symptoms.CONCLUSION:Age,gender,diabetes duration,and diabetic retinopathy are strongly associated with the development of DADE,but the impact of other systemic factors require further investigation.With high prevalence of dry eye in Asia,valuable resources like the Korea National Health and Nutrition Examination Survey(KNHANES)database offer crucial data for developing risk prediction models for DADE.Building risk prediction models using machine learning algorithms is a promising future research direction,enabling physicians to identify high-risk individuals and implement early interventions.
文摘AIM:To gain insight into the future research directions in scleral contact lenses(SCLs)through a comprehensive bibliometrics study.METHODS:The publications related to SCLs were screened from the Web of Science Core Collection(WOSCC)database.All bibliographic information was extracted and used to conduct a performance analysis.CiteSpace and VOSviewer were employed to visualize annual publication counts,journals,authors,countries,institutions,collaboration networks,keywords,and references.RESULTS:A total of 498 articles were included in our analysis and the number of publications about SCLs showed a significant yearly increase.These publications predominantly emanated from 523 institutions across 38 countries,with the United States and Australia leading in frequency.Totally 1361 authors were identified,among whom Vincent J.Stephen exhibited the highest number of publications,while Jacobs S.Deborah received the most citations.Notably,the journal Contact Lens&Anterior Eye emerged as the primary publisher of studies,and it also boasted the highest citation rate.“Fluid-ventilated,gas-permeable scleral contact lens is an effective option for managing severe ocular surface disease and many corneal disorders that would otherwise require penetrating keratoplasty”was the most cited paper published in eye&contact lens in 2005.The most prevalent keywords encompassed“keratoconus”,“scleral contact lenses”,“management”,“contact lenses”,“scleral contact lens”,“ocular surface disease”,“dry eye”,and“contact lens”.CONCLUSION:Although SCLs have demonstrated significant potential in ophthalmological care,the results offer valuable insights pertinent to future research directions and clinical practice.Greater emphasis should be placed on developing enhancements in design,materials,and fitting technique,as well as on reducing the complications associated with SCLs.
文摘Background: Scar contractions caused by hand burns seriously impact both the function and appearance of the hand.Consequently,post-burn hand reconstruction is a primary focus of secondary reconstructive surgery performed within the first 10 years after a burn injury.This study aimed to identify developmental trends and research hotspots in post-burn hand reconstruction,providing insights and recommendations for researchers.Methods: Bibliometric and visualization analyses were conducted using Cite Space v6.4.R1(64-bit) and VOS viewer.The Web of Science Core Collection served as the data source.A total of 136 articles between 1997 and2025 were included based on the following keywords: “postburn hand reconstruction” or “postburn hand” or“scar contraction hand deformity.”Results: The field of post-burn hand reconstruction is advancing,as indicated by the overall and annual increase in publications.The United States leads in number of published papers.However,major institutions show low centrality,indicating weak collaboration between countries and regions,with research still dominated by singlecenter studies.The top three most prolific authors were Paul P M van Zuijlen,Fatih Uyghur,and Ersin Uyghur.The keywords “double Z-plasty” and the cluster “flap” not only have high emergence intensity but also appear frequently in recent studies,marking them as current research hotspots.Conclusion: The lack of long-term research and consensus limits further advancements in post-burn hand reconstruction.To address this,multi-center and multi-disciplinary collaborations should be encouraged.Additionally,integrating basic medical research with biomedical engineering could enhance the management and outcomes of post-burn hand reconstruction.
文摘Under the trend of economic globalization,the importance of supply chains has gradually become prominent,especially with the transformation and upgrading of China’s industrial chains in recent years.Supply chain transformation has emerged as a significant focus of current academic research,and the construction of smart supply chains represents an inevitable development trend.This paper utilizes 1,051 research articles on smart supply chains published in core journals on China National Knowledge Infrastructure(CNKI)from 2014 to 2024 as the data source.It analyzes the literature data using CiteSpace software,visually exploring and revealing the frontiers and hotspots of domestic research on smart supply chains.The data analysis reveals that academic research in this field is at a stage of steady and healthy development.Domestic research trends include the cooperative mechanisms of smart supply chains in manufacturing,the operational mechanisms of smart supply chains in agriculture,and systematic research on influencing factors of smart supply chains.
基金Research Project of the First Affiliated Hospital of Shihezi University(HL202102)。
文摘Objective:To conduct a visual analysis of the current status and hotspots in the postoperative nursing of ureterocutaneostomy based on CiteSpace,in order to provide an evidence-based basis for the research direction and thinking in this field.Methods:In this study,the subject words and free words were used to search the China National Knowledge Infrastructure(CNKI),Wanfang Database,VIP Database,and Web of Science Core Database as the literature sources.The search time limit was from January 1,1999 to December 31,2024.CiteSpace 6.3.R2 software was used to conduct a visual analysis of the publication volume,authors,and keyword clusters of the literature related to ureterocutaneostomy nursing.Results:A total of 129 Chinese literary works were finally included.The results showed that 2019 was the peak year of publication volume(20 domestic articles);the First Affiliated Hospital of Nanchang University was the institution with the highest publication volume(13 articles);the high-frequency keywords included“bladder cancer”(42 times),“nursing”(29 times),and“quality of life”(16 times);the keyword cluster analysis showed that the research hotspots were concentrated in complication management,continuous nursing,and the application of intelligent technology.Conclusion:The nursing of ureterocutaneostomy has developed from a single technical operation to a multi-dimensional comprehensive intervention system,and the nursing shows a trend of multidisciplinary integration.In the future,it is necessary to strengthen the research and development of intelligent technology,the promotion of standardized nursing processes,and the balanced allocation of regional resources.
基金Kunming Health Science and Technology Talent Cultivation Project(Project No.:2023-Cultivation Category-00)Health Research Project of Kunming Municipal Health Commission(Project No.:2022-14-04-006)。
文摘Objective:This study aims to analyze the research hotspots and trends in nursing care for children with Kawasaki disease.Methods:The study utilized the CiteSpace 6.1.R6 software to visualize nursing-related research on Kawasaki disease in children,drawing from articles published in the CNKI and Web of Science core collection databases from January 1,2014,to January 1,2024.Key analysis components included authors,institutions,and keywords,supported by the creation of a corresponding knowledge map.Results:Literature Publications:Over the past decade,the analysis encompassed a total of 309 Chinese articles on nursing care for children with Kawasaki disease,with an average annual publication rate of 30.9 articles.Additionally,251 foreign language articles were scrutinized,exhibiting an average annual publication rate of 25.1 articles.Author and Institution Analysis:In Chinese literature,the notable figure of Huang Rimei emerged as a prolific author,with the Children's Hospital Affiliated with Zhengzhou University standing out as a high-yielding institution.Conversely,in English literature,the prolific authors Burns and Jane C were prominent,alongside the University of California,San Diego,which emerged as a high-yielding institution.Keyword and Research Hotspots Analysis:The focal points of research in Chinese literature revolved around continuous nursing,cardiovascular complications,clinical nursing pathways,rehabilitation effects,holistic nursing,and gamma globulin.Conversely,English literature emphasized research hotspots such as cardiovascular complications,treatment modalities,diagnostic approaches,long-term management strategies,gamma globulin therapy,steroid pulse therapy,and pediatric multisystem inflammatory syndrome.Conclusions:The quantity of Chinese literature concerning nursing care for children with Kawasaki disease appears comparatively scant,underscored by an uneven distribution of issuing institutions and a lack of influence.To address this,future endeavors should prioritize bolstering collaboration across diverse regions and institutions,conducting multi-center,cross-regional research,implementing clinical nursing pathways,and augmenting the continuity of care.Conversely,the upsurge in English literature publications regarding nursing care for children with Kawasaki disease signals a burgeoning interest,primarily concentrated on treatment modalities.This trend advocates for the integration of medical and nursing care and emphasizes the importance of remaining abreast of advancements in managing Kawasaki disease in children.
文摘Objective To analyze the current research status and development trend of active surveillance of drug safety in China,and to provide reference and suggestions for future research.Methods Using bibliometric methods and with the help of the CiteSpace 6.1.R6,the literature on active surveillance of drug safety in CNKI from 2010 to 2022 was visualized and analyzed in terms of authors,institutions and keywords.Results and Conclusion The research on active surveillance of drug safety in China started late and is in a stable development period.Some Chinese scholars have done more work on active surveillance of drug safety.Additionally,a number of institutions have published some articles and surveillance objects,surveillance methods,and surveillance results are the main research content.However,the cross-institutional cooperation is not close.The traditional Chinese medicine injection,centralized surveillance,and automatic surveillance are the hot spots of research.It is the latest research frontier to use the Chinese hospital pharmacovigilance system to actively monitor drug safety.At present,the research related to active surveillance of drug safety in China is still in the early stage,and more in-depth research is needed to follow up.
基金supported by a scientific research project of Shanxi Provincial Health Department,China(No.201201031)
文摘Objective: To analyze clinical psychological nursing research hotspots in China and variation trends in order to provide reference points on the current state of development of clinical psychological nursing and future research hotspots.Method: Clinical psychological nursing research literature sourced from Wanfang Data for the three periods of 2007-2009, 2010-2012, and 2013-2015 were selected as the research sample. A bibliographic co-occurrence analysis system(BICOMB software) was used to perform keyword word frequency analysis and generate a keyword co-occurrence matrix. In addition, Ucinet software's Netdraw tool was used to create visualized network diagrams.Results: A total of 27890 articles were retrieved, and word frequency analysis revealed that the highestfrequency keywords consisted of anxiety, depression, the elderly, expectant women, coronary heart disease, diabetes, breast cancer, perioperative period, quality of life, and psychological intervention.Research hotspot analysis revealed that consistent hotspots comprised anxiety, depression, health education, and perioperative period; expectant women became a hotspot during 2010-2012, and quality of life and efficacy became hotspots during 2013-2015.Conclusions: In addition to the care process, clinical psychological nursing research hotspots in China have increasingly included the effectiveness of psychological nursing and impact on patient quality of life. In addition, research hotspots have been influenced by the incidence of illnesses and people's health consciousness.
基金The National Natural Science Foundation of China (No. 52302373, 52472317)the Natural Science Foundation of Beijing (No. L231023)the Beijing Nova Program (No. 20230484443)。
文摘Connected and autonomous vehicle formation(CAVF)technology is considerably important for improving transportation efficiency,optimizing traffic flow,and reduc-ing energy consumption.Despite the extensive research con-ducted on trajectory tracking control and other aspects of CAVF,the quality of the extant literature varies consider-ably,and research content remains scattered.To better pro-mote the sustainable and healthy development of the CAVF field,this paper employs the mapping knowledge domain(MKD)methodology to comprehensively review and visual-ize the current research status in this domain.Based on this review,research themes,hotspots,research challenges,and future development directions are proposed.The findings suggest that the research on CAVF can be categorized into three primary developmental stages.China and the United States are the primary countries conducting CAVF research.There is a positive correlation between economic develop-ment and the generation of scientific research outcomes.Re-search institutions are predominantly concentrated in univer-sities.The field exhibits significant interdisciplinary and inte-gration characteristics,forming key research personnel and teams.It is expected that future research will concentrate on topics such as deep learning,trajectory optimization,energy management strategy,mixed vehicle platoon,and other re-lated subjects.Research on cognition-driven intelligent for-mation decision-making mechanisms,resilience-oriented for-mation safety assurance systems,multiobjective collabora-tive formation optimization strategies,and digital twin-driven formation system validation platforms represents key future development directions.
文摘The complexity of multi-domain access control policy integration makes it difficult to understand and manage the policy conflict information. The policy information visualization technology can express the logical relation of the complex information intuitively which can effectively improve the management ability of the multi-domain policy integration. Based on the role-based access control model, this paper proposed two policy analyzing methods on the separated domain statistical information of multi-domain policy integration conflicts and the policy element levels of inter-domain and element mapping of cross-domain respectively. In addition, the corresponding visualization tool is developed. We use the tree-maps algorithm to statistically analyze quantity and type of the policy integration conflicts. On that basis, the semantic substrates algorithm is applied to concretely analyze the policy element levels of inter-domain and role and permission mapping of cross-domain. Experimental result shows tree-maps and semantic substrates can effectively analyze the conflicts of multi-domain policy integration and have a good application value.
基金This research work is supported by Hunan Provincial Education Science 13th Five Year Plan(Grant No.XJK016BXX001)Social Science Foundation of Hunan Province(Grant No.17YBA049)+2 种基金Hunan Provincial Natural Science Foundation of China(Grant No.2017JJ2016)National Students’platform for innovation and entrepreneurship training(Grant No.201811532010)The work is also supported by Open foundation for University Innovation Platform from Hunan Province,China(Grand No.16K013)and the 2011 Collaborative Innovation Center of Big Data for Financial and Economical Asset Development and Utility in Universities of Hunan Province.We also thank the anonymous reviewers for their valuable comments and insightful suggestions.
文摘Graphical methods are used for construction.Data analysis and visualization are an important area of applications of big data.At the same time,visual analysis is also an important method for big data analysis.Data visualization refers to data that is presented in a visual form,such as a chart or map,to help people understand the meaning of the data.Data visualization helps people extract meaning from data quickly and easily.Visualization can be used to fully demonstrate the patterns,trends,and dependencies of your data,which can be found in other displays.Big data visualization analysis combines the advantages of computers,which can be static or interactive,interactive analysis methods and interactive technologies,which can directly help people and effectively understand the information behind big data.It is indispensable in the era of big data visualization,and it can be very intuitive if used properly.Graphical analysis also found that valuable information becomes a powerful tool in complex data relationships,and it represents a significant business opportunity.With the rise of big data,important technologies suitable for dealing with complex relationships have emerged.Graphics come in a variety of shapes and sizes for a variety of business problems.Graphic analysis is first in the visualization.The step is to get the right data and answer the goal.In short,to choose the right method,you must understand each relative strengths and weaknesses and understand the data.Key steps to get data:target;collect;clean;connect.
基金This research is funded by the National Social Science Fund Project,grant number 14BJL086.This research is funded by the Open Foundation for the University Innovation Platform in the Hunan Province,grant number 18K103Hunan Provincial Natural Science Foundation of China,grant number 2017JJ2016+2 种基金Accurate crawler design and implementation with a data cleaning function,National Students innovation and entrepreneurship of training program,grant number 201811532010This research work is implemented at the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province.Open project,grant number 20181901CRP03,20181901CRP04,20181901CRP05National Social Science Fund Project:Research on the Impact Mechanism of China’s Capital Space Flow on Regional Economic Development(Project No.14BJL086)。
文摘When conducting company performance evaluations,the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market.Gephi is an efficient tool for data analysis and visualization in the era of big data.It can convert the evaluation results of all listed companies into nodes and edges,and directly display them in the form of graphs,thus making up for the defects of traditional methods.This paper will take all the listed companies in the Shanghai and Shenzhen Stock Exchange as the analysis object.First uses tushare and web crawlers to collect the financial statement data of these companies.And then,uses the Economic Value Added model to calculate the EVA of each listed company and build graph data.Next,import the graph data into gephi to generate the distribution graph of all listed companies’performance,and summarize the distribution characteristics of business performance.Finally,select a listed company that you want to analyze in detail,using the traditional DuPont analysis method to conduct micro level visualization analysis of the business performance to find the main factors affecting the company’s operating performance.Incorporating gephi into traditional performance analysis methods will make the results of traditional analytical methods more effective and complete.
