Medical Data Mining published an article entitled Mapping the global research trends and hotspots on hypertensive nephropathy:A novel bibliometrics overview on 10 October 2025.The author confirmed this article’s proo...Medical Data Mining published an article entitled Mapping the global research trends and hotspots on hypertensive nephropathy:A novel bibliometrics overview on 10 October 2025.The author confirmed this article’s proof on 28 September 2025 without any questions.However,on 13 November 2025,the Editorial Office of Medical Data Mining noticed an inconsistency between the data presented in the main text and Figure 1.Specifically,erroneous Figure 1 states“a total of 56,691 literatures were obtained through database search”,while the main text in the Search results section states“According to the search term,a total of 59,220 publications were retrieved from the database.”The authors acknowledge that the original version of Figure 1 was incorrect and have provided the revised,correct version in this corrigendum.The authors would like to assert that there is no change in the body text of the article.展开更多
Background:Three-dimensional(3D)printing has revolutionized craniofacial and craniomaxillofacial applications,leading to substantial advancements in patient-specific treatments.In this study,a bibliometric analysis wa...Background:Three-dimensional(3D)printing has revolutionized craniofacial and craniomaxillofacial applications,leading to substantial advancements in patient-specific treatments.In this study,a bibliometric analysis was performed to identify the key contributors,research trends,thematic developments,and collaboration networks in this evolving field.Methods:Two search strategies were employed to ensure a comprehensive analysis:(1)a broad search,in which selected keywords were searched in the title,abstract,and keyword fields to capture all relevant publications,and(2)a title-specific search,in which keywords were restricted to the title field to identify publications with a strong focus on 3D printing in craniofacial and craniomaxillofacial applications.The retrieved dataset was analyzed using VOSviewer and RStudio(bibliometrix package).Results:The broad search retrieved 3534 publications,whereas the title-specific search yielded 280 publications.The analysis of these 280 papers focused on identifying the top authors,universities,and countries,as well as their research dynamics and collaboration networks.A more detailed approach was adopted by examining the titles of these 280 papers.VOSviewer segmented the titles into approximately 800 words,which were then categorized into 18 distinct thematic groups to represent research trends.The focus areas of the ten most cited papers were also analyzed.Conclusion:This bibliometric study provides valuable insights into the progress in 3D printing for craniofacial and craniomaxillofacial applications.By highlighting the key contributors,thematic developments,and collaborative networks,this study offers a foundation for future research in this rapidly advancing field.展开更多
Background:Over the past 15 years,research has emphasized the crucial role of the gut microbiota in metabolism and its potential association with osteoporosis.Given the increasing interest in this area,a bibliometric ...Background:Over the past 15 years,research has emphasized the crucial role of the gut microbiota in metabolism and its potential association with osteoporosis.Given the increasing interest in this area,a bibliometric analysis is essential to comprehensively understand the field.Methods:Literature published between 2009 and 2023 was retrieved from the Web of Science.CiteSpace,a tool for visual analysis,was employed to examine various aspects of the research,including the annual number of publications,contributing institutions,journals,authors,keywords,clusters,hotspots,and emerging frontiers.Results:The analysis included 1,075 articles from 80 countries,283 institutions,and 155 authors,reflecting the rapid growth of research in this field.PEOPLES R CHINA emerged as the most productive country,while the University of California System was the most active institution.Parameswaran,Narayanan had the highest number of publications,and LI JY and OHLSSON C were the most cited authors.Key keywords such as“gut microbiota,”“bone loss,”“bone mineral density,”“inflammation,”and“health”were identified,and keywords with strong citation bursts like“in vitro,”“inflammatory bowel disease,”and“bone mineral density”indicated emerging trends.Conclusion:This bibliometric analysis successfully identified research trends and hotspots,including the fecal microbiome,musculoskeletal studies,and postmenopausal women.Continued research in these areas will enhance our understanding of osteoporosis and may lead to the development of new treatments.The findings offer valuable insights for scholars aiming to conduct in-depth research in this field.展开更多
Objective:This paper conducts a bibliometric analysis of the literature on neck pain research from 2000 to 2025,aiming to comprehensively and systematically understand the research landscape,hotspots,and frontier tren...Objective:This paper conducts a bibliometric analysis of the literature on neck pain research from 2000 to 2025,aiming to comprehensively and systematically understand the research landscape,hotspots,and frontier trends in this field,providing a reference for future research directions.Methods:Data were sourced from the Web of Science Core Collection,with the search term TI=“neck pain,”covering the time span from 2000 to 2025,resulting in 2746 articles.Software such as CiteSpace V6.3.R1 and VOSviewer 1.6.20 was used to analyze publication volume,countries,authors,institutions,keywords,and co-citation networks.Results:The number of publications in neck pain research has been increasing year by year,indicating a rising level of research activity.Authors like Falla,D,Jull,G,and institutions such as Univ Queensland and Univ Toronto have significant influence in this field.Co-occurrence analysis of keywords shows that“neck pain,”“low back pain,”and“disability index”are high-frequency keywords,reflecting research hotspots such as the characteristics and treatment of neck pain and its interrelation with pain in other regions.Timeline analysis and keyword emergence analysis reveal the frontiers and development trends in this field,such as the growing attention on emerging therapeutic methods like“exercise therapy”and“dry needling,”while keywords like“intensity,”“individuals,”and“quality”indicate an increasing emphasis on personalization,precision,and quality control in the treatment process.Conclusion:The field of neck pain research is continuously expanding and deepening.Future research should further investigate the pathogenesis of neck pain,its associations with other conditions,the refinement of assessment methods,and the development of innovative rehabilitation strategies.Emphasis should also be placed on interdisciplinary collaboration to provide more robust theoretical foundations and practical guidance for the clinical treatment and rehabilitation management of neck pain.展开更多
Objective:To systematically evaluate global research trends on contrast-enhanced ultrasound(CEUS)in tumor diagnosis using bibliometric methods.Methods:Publications from January 2000 to June 2025 were retrieved from th...Objective:To systematically evaluate global research trends on contrast-enhanced ultrasound(CEUS)in tumor diagnosis using bibliometric methods.Methods:Publications from January 2000 to June 2025 were retrieved from the Web of Science Core Collection(SCI-EXPANDED).Only English-language articles and reviews were included.A total of 3,493 records were analyzed.VOSviewer 1.6.20 were used for bibliometric and visualization analyses,covering annual output,countries and institutions,authors,journals,keyword co-occurrence,collaboration networks,and co-citation patterns.Results:The number of publications demonstrated steady growth with acceleration after 2018,peaking in 2021 and 2023(>350 papers/year).Dietrich Christoph F.was the most productive and influential author,while Chinese scholars(e.g.,Dong Yi,Wang Wen-Ping)and institutions such as Sun Yat-sen University and Fudan University emerged as leading contributors.European journals,particularly Ultrasound in Medicine and Biology and European Radiology,showed high academic influence.Keyword analysis revealed liver cancer,especially hepatocellular carcinoma,as the dominant research theme,with expanding applications in breast,renal,and prostate tumors.Collaboration networks highlighted strong partnerships between China and Europe,whereas North American participation remained limited.Co-citation analysis indicated that a small number of highly cited studies shaped the intellectual foundation of the field.Conclusion:CEUS research in tumor diagnosis has expanded rapidly,characterized by concentrated leadership,thematic diversification,and strengthening international collaboration.With advances in artificial intelligence,super-resolution imaging,and novel contrast agents,CEUS is expected to evolve from a diagnostic tool into an integrated platform for tumor detection,treatment monitoring,and personalized cancer care.展开更多
BACKGROUND Recently,artificial intelligence(AI)has been widely used in gastrointestinal endoscopy examinations.AIM To comprehensively evaluate the application of AI-assisted endoscopy in detecting different digestive ...BACKGROUND Recently,artificial intelligence(AI)has been widely used in gastrointestinal endoscopy examinations.AIM To comprehensively evaluate the application of AI-assisted endoscopy in detecting different digestive diseases using bibliometric analysis.METHODS Relevant publications from the Web of Science published from 1990 to 2022 were extracted using a combination of the search terms“AI”and“endoscopy”.The following information was recorded from the included publications:Title,author,institution,country,endoscopy type,disease type,performance of AI,publication,citation,journal and H-index.RESULTS A total of 446 studies were included.The number of articles reached its peak in 2021,and the annual citation numbers increased after 2006.China,the United States and Japan were dominant countries in this field,accounting for 28.7%,16.8%,and 15.7%of publications,respectively.The Tada Tomohiro Institute of Gastroenterology and Proctology was the most influential institution.“Cancer”and“polyps”were the hotspots in this field.Colorectal polyps were the most concerning and researched disease,followed by gastric cancer and gastrointestinal bleeding.Conventional endoscopy was the most common type of examination.The accuracy of AI in detecting Barrett’s esophagus,colorectal polyps and gastric cancer from 2018 to 2022 is 87.6%,93.7%and 88.3%,respectively.The detection rates of adenoma and gastrointestinal bleeding from 2018 to 2022 are 31.3%and 96.2%,respectively.CONCLUSION AI could improve the detection rate of digestive tract diseases and a convolutional neural network-based diagnosis program for endoscopic images shows promising results.展开更多
BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity....BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity.Childhood and adolescence represent critical periods for physical and psychological development,during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes.AIM To evaluate the relationship between ODCA,we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies.METHODS From 2004 to 2023,articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection.Bibliometric analysis of relevant publications,including countries/regions,institutions,authors,journals,references,and keywords,was conducted using the online bibliometric analysis platforms,CiteSpace,VOSviewer,and bibliometrix.RESULTS Between 2004 and 2023,a total of 1573 articles were published on ODCA.The United States has made leading contributions in this field,with Harvard University emerging as the leading contributor in terms of research output,and Tanofsky being the most prolific author.The J Adolescent Health has shown significant activity in this domain.Based on the results of the keyword and reference analyses,inequality,adverse childhood experiences,and comorbidities have become hot topics in ODCA.Moreover,the impact of balancedrelated behavior and exploration of the biological mechanisms,including the potential role of key adipocytokines and lipokines,as well as inflammation in ODCA,have emerged as frontier topics.CONCLUSION The trend of a significant increase in ODCA publications is expected to continue.The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment.展开更多
Android has been dominating the smartphone market for more than a decade and has managed to capture 87.8%of the market share.Such popularity of Android has drawn the attention of cybercriminals and malware developers....Android has been dominating the smartphone market for more than a decade and has managed to capture 87.8%of the market share.Such popularity of Android has drawn the attention of cybercriminals and malware developers.The malicious applications can steal sensitive information like contacts,read personal messages,record calls,send messages to premium-rate numbers,cause financial loss,gain access to the gallery and can access the user’s geographic location.Numerous surveys on Android security have primarily focused on types of malware attack,their propagation,and techniques to mitigate them.To the best of our knowledge,Android malware literature has never been explored using information modelling techniques.Further,promulgation of contemporary research trends in Android malware research has never been done from semantic point of view.This paper intends to identify intellectual core from Android malware literature using Latent Semantic Analysis(LSA).An extensive corpus of 843 articles on Android malware and security,published during 2009–2019,were processed using LSA.Subsequently,the truncated singular Value Decomposition(SVD)technique was used for dimensionality reduction.Later,machine learning methods were deployed to effectively segregate prominent topic solutions with minimal bias.Apropos to observed term and document loading matrix values,this five core research areas and twenty research trends were identified.Further,potential future research directions have been detailed to offer a quick reference for information scientists.The study concludes to the fact that Android security is crucial for pervasive Android devices.Static analysis is the most widely investigated core area within Android security research and is expected to remain in trend in near future.Research trends indicate the need for a faster yet effective model to detect Android applications causing obfuscation,financial attacks and stealing user information.展开更多
The research trend in rare earths has been studied using the Chemical Abstracts (CA) data. The number of papers published from China has been increasing very rapidly since 2001 and today China is the top country in te...The research trend in rare earths has been studied using the Chemical Abstracts (CA) data. The number of papers published from China has been increasing very rapidly since 2001 and today China is the top country in terms of paper contribution on rare earths. This article presents a comparative study of R&D trends among China, Japan and USA.展开更多
Automated writing evaluation is the use of computer programs to evaluate essays written in an educational setting.This study aims to evaluate the state of the art and the trends of automated writing evaluation researc...Automated writing evaluation is the use of computer programs to evaluate essays written in an educational setting.This study aims to evaluate the state of the art and the trends of automated writing evaluation research.A total of 206 automated writing evaluation-related publications published in 88 journals between 1995 and 2022 were used as the data in our study.Bibliometric methods were employed to identify the publication trends,venues for publication,productive authors,highly cited articles,seminal works,and the most frequently explored topics across the past decades.The findings show that automated writing evaluation has become a fast-growing interdisciplinary area of interest.In addition,this line of research has witnessed a growing interest in topics pertaining to the latest technology,the perception of children,the teachers’feedback,and complex tasks.Implications of our study for future research are also discussed.展开更多
Analyzing Research and Development(R&D)trends is important because it can influence future decisions regarding R&D direction.In typical trend analysis,topic or technology taxonomies are employed to compute the...Analyzing Research and Development(R&D)trends is important because it can influence future decisions regarding R&D direction.In typical trend analysis,topic or technology taxonomies are employed to compute the popularities of the topics or codes over time.Although it is simple and effective,the taxonomies are difficult to manage because new technologies are introduced rapidly.Therefore,recent studies exploit deep learning to extract pre-defined targets such as problems and solutions.Based on the recent advances in question answering(QA)using deep learning,we adopt a multi-turn QA model to extract problems and solutions from Korean R&D reports.With the previous research,we use the reports directly and analyze the difficulties in handling them using QA style on Information Extraction(IE)for sentence-level benchmark dataset.After investigating the characteristics of Korean R&D,we propose a model to deal with multiple and repeated appearances of targets in the reports.Accordingly,we propose a model that includes an algorithm with two novel modules and a prompt.A newly proposed methodology focuses on reformulating a question without a static template or pre-defined knowledge.We show the effectiveness of the proposed model using a Korean R&D report dataset that we constructed and presented an in-depth analysis of the benefits of the multi-turn QA model.展开更多
Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to anal...Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to analyze publications on machine learning in traditional medicine by using bibliometric methods and explore global trends in the field.Methods:Relevant research on machine learning in traditional medicine extracted from the Web of Science Core Collection database.Bibliometric analysis and visualization were performed using the Bibliometrix package in R software.Global trends,source journals,authorship,and thematic keywords analysis were performed in this study.Results:From 2012 to 2022,a total of 282 publications on machine learning in traditional medicine were identified and analyzed.The average annual growth rate of the publications was 13.35%.China had the largest contribution in this field(53.9%),followed by the United States(32.6%).IEEE Access had the largest number of published articles,with a total of 15 articles.Calvin Yu-Chian Chen,Xiao-juan Hu and Jue Wang were the main researchers in this field.Shanghai University of Traditional Chinese Medicine and University of California,San Francisco were the main research institutions.Conclusion:This study provides information on research trends in machine learning in traditional medicine to better understand research hotspots and future developments in this field.According to current global trends,the number of publications in this field will gradually increase.China currently dominated the field.Applied research of machine learning techniques may be the next hot topic in this field and deserves further attention.展开更多
Given the growing awareness of the likely catastrophic impacts of climate change and close association of climate change with global emissions of greenhouse gases （of which carbon dioxide is more prominent） , consid...Given the growing awareness of the likely catastrophic impacts of climate change and close association of climate change with global emissions of greenhouse gases （of which carbon dioxide is more prominent） , considerable research efforts have been devoted to the analysis of carbon dioxide （CO2） emissions and its relationship to sustainable development. Now GHG reduction programs have been coming into effect in many developed coun- tries that have more responsibility for historical CO2 emissions, and the studies have become mature. First, the GHG emissions accounting system is more all-inclusive and the methods are more rational with the effort of IPCC from 1995 and all other research- ers related. Second, the responsibility allocation is more rational and fair. Along with the clarity of ＂carbon transfer＂ and ＂carbon leakage＂, the perspective and methodology for allocating regional COz emissions responsibility is turning from production base to consumption base. Third, the decomposition method has become more mature and more complex. For example, the decomposition formulas are including KAYA expression and input-output expres- sion and the decomposition techniques are developed from index analysis to simple average divisia and then adaptive-weighting divisia. Fourth, projection models have become more integrated and long-term. The top-down model and bottom-up model are both inter-embedded and synergetic. Trends above give some advice for the research on CO2 in China, such as emissions factors database construction, deeper-going research on emissions responsibility and structure analysis, promotion of modeling technology and technology-environment database.展开更多
Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stabi...Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stability,epigenetics regulation,germ cell differentiation,and tumor development.Despite growing interest in piRNA research,there is a lack of comprehensive bibliometric studies on the subject.This study aims to analyze piRNA research trends from 2006 to 2023.Methods:The literature regarding piRNA was sourced from the Web of Science on April 25,2023.VOSviewer,CiteSpace and a bibliometric online website(https://bibliometric.com/app)were employed to perform bibliometric analysis.Network maps were constructed to evaluate the collaborations among countries,institutions,authors,journals,references,keywords,and research hot pots.Results:In this study,2549 literature were published across 464 countries and 6921 institutions,comprising 2010 articles and 539 reviews.The United States led in publication output(n=1011,39.66%),followed by China(635,24.91%).The University of Tokyo had the most publications among all institutions(n=100,3.92%),followed by the Chinese Academy of Sciences(n=86,3.37%).Among 631 published journals,Nucleic Acids Research was the most published journal(n=83,3.26%).Siomi Mikiko C published the most articles(n=58),with Aravin Alexei A as the most co-cited author.Analysis of term co-occurrence unveiled three highly interconnected clusters,including“piRNA biogenesis and function”,“cancer and regulation”,as well as“protein and species”.The research focus has transferred from male reproductive development to tumor progression.Conclusion:This bibliometric analysis offered a thorough overview of the current state of piRNA research,deepening understanding of the progress in this field over the last 17 years and providing a valuable reference for scholars engaged in piRNA studies.展开更多
Curtis J.Bonk defined blended learning as a combination of face-to-face and computer-assisted online learning instruction since it was gradually formed after the emergence of the Internet[1,2].Breen pointed out that b...Curtis J.Bonk defined blended learning as a combination of face-to-face and computer-assisted online learning instruction since it was gradually formed after the emergence of the Internet[1,2].Breen pointed out that blended learning is a learning method that combines online and offline learning activities and resources[3].The blended learning approach is popular in school and e-learning.Moreover,it is one of the important trends in promoting higher education reform in the coming years.Therefore,it has attracted the attention of international researchers[4].In this paper,42 articles in Scopus(established by international institutions)and 30 articles in CNKI(found by Chinese mainland institutions)on the query of“college English reading blended learning”in the field of education were analyzed.Furthermore,CiteSpace software was used to analyze the research hotspots and trends with the keyword clusters and citations that occurred in the last two decades(1999 to 2022)to foresee future research prospects.展开更多
Background:Hemifacial spasm(HFS)is a neurological disorder characterized by involuntary facial muscle contractions,significantly impacting quality of life.This study aims to provide a comprehensive bibliometric analys...Background:Hemifacial spasm(HFS)is a neurological disorder characterized by involuntary facial muscle contractions,significantly impacting quality of life.This study aims to provide a comprehensive bibliometric analysis of global research trends,collaborations,and scientific contributions in the field of HFS,addressing publication patterns,influential authors and institutions,and prominent research topics from 1999 to 2024.Methods:We conducted a bibliometric analysis based on 1,884 publications retrieved from the Web of Science Core Collection using the keyword"Hemifacial Spasm."Data analysis and visualization were performed using Microsoft Excel,R/Bibliometrix,Scimago Graphica,VOSviewer,Pajek,and CiteSpace.Parameters assessed included publication trends,author collaborations,institutional contributions,core journals,citation metrics,and keyword clusters.Results:Among the analyzed publications,1,646 were original research articles,and 238 were reviews,involving 6,063 researchers and citing 25,252 references.The United States,China,and Japan were identified as leading contributing countries,with prominent institutions including Shanghai Jiao Tong University,Sungkyunkwan University,and the University of Pittsburgh.Top authors by publication count were Li Shiting,Park Kwan,and Zhong Jun,whereas Peter J.Jannetta,Albert R.Møller,and Janko Jankovic were most frequently cited.Core journals,identified via Bradford’s Law,included Acta Neurochirurgica,World Neurosurgery,and Journal of Neurosurgery.Keyword analysis highlighted focal research areas:"hemifacial spasm","microvascular decompression",and"trigeminal neuralgia".Conclusion:This bibliometric study provides critical insights into the evolution of research on HFS,highlighting key contributors,institutional influence,and research hotspots.The findings underscore ongoing collaborative opportunities and essential areas for future research exploration.展开更多
American ginseng(Panax quinquefolius L.),a widely used herbal medicine and dietary supplement,has attracted increasing attention from both academia and industry in recent years.To better understand the research fronti...American ginseng(Panax quinquefolius L.),a widely used herbal medicine and dietary supplement,has attracted increasing attention from both academia and industry in recent years.To better understand the research frontiers and hotspots,we conducted a bibliometric analysis of American ginseng studies indexed in the Web of Science Core Collection from 1985 to 2024,using CiteSpace and VOSviewer.A total of 1169 publications were identified,with a marked increase in output since 2011.Hotspot analysis revealed growing interest in pharmacological effects,ginsenoside analysis,polysaccharide studies,and quality control.Furthermore,we assessed future research trends,suggesting that quality control and the modulation of gut microbiota will remain central topics.This study provides a clearer understanding of the evolving research landscape on American ginseng and offers guidance for future investigations.展开更多
Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over t...Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over time have transformed the field,making it essential to assess the evolution of research trends.This study performed a bibliometric analysis of facelift research by examining the top 50 most cited publications to evaluate their contributions,thematic evolution,and collaborative networks.Methods:The Scopus database was used to identify relevant publications.A total of 50 documents were selected,comprising 47 articles and 3 reviews published across 16 academic sources.The inclusion criteria focused on publications with substantial relevance to facelift research;this ensured comprehensive coverage of the topic.Key performance indicators(for the authors)such as the number of papers,total citations,h-index,g-index,m-index,HG composite,and Q2 index were calculated.Citation analysis and collaborative network mapping were conducted to identify the leading contributors,including authors,universities,countries,and sources.Results:The findings indicated an annual growth rate of 1.34%,with an average document age of 29.4 years and an average citation count per document of 134.9.The analysis identified the top authors and their collaborative networks,along with key contributions from various universities,countries,and sources.The thematic evolution of facelift research was examined across these 50 papers;this revealed important trends and shifts within the field.Conclusion:This bibliometric analysis offers valuable insights into the development and influence of facelift research over a 52-year span.It highlights significant contributors and outlines thematic shifts,providing directions for future research and collaboration in this field.展开更多
BACKGROUND Hepatocellular carcinoma(HCC)is a major cause of cancer-related mortality worldwide,and the research landscape has rapidly evolved over the past two decades.Despite significant progress,an in-depth analysis...BACKGROUND Hepatocellular carcinoma(HCC)is a major cause of cancer-related mortality worldwide,and the research landscape has rapidly evolved over the past two decades.Despite significant progress,an in-depth analysis of global research trends,collaborative networks,and emerging themes in HCC remains limited.This study aimed to fill this gap by conducting a bibliometric analysis to map the research output,identify key contributors,and highlight future directions in HCC research.We hypothesized that the analysis would reveal a growing focus on molecular mechanisms and immunotherapy,with increasing contributions from specific countries and institutions.AIM To investigate global research trends,collaborative networks,and emerging themes in HCC from 2004 to 2023.METHODS A bibliometric analysis was performed using 93987 publications from the Science Citation Index Expanded Database of the Web of Science Core Collection.Data were analyzed using the VOSviewer software to identify publication trends,leading contributors,and research themes.Key metrics included annual publication output,country and institutional contributions,journal impact,and thematic clusters.Statistical analysis was carried out to quantify trends and collaborations.RESULTS The number of annual publications increased from 2341 in 2004 to 8756 in 2023,with 65583 papers(69.78%)published between 2014 and 2023.China,the United States,and Japan were the top contributors,constituting 58.3%of total publications.PLOS One published the most studies(n=2145),while Gastroenterology had the highest average number of citations(78.4 citations per paper).Fudan University was the most prolific institution(n=1872).Thematic analysis identified five main clusters,namely molecular mechanisms,therapeutic strategies,prognosis and immunology,risk factors,and diagnostic approaches.CONCLUSION This study highlights the growing focus on HCC research,particularly in immunotherapy and molecular mechanisms,underscoring the significance of international collaboration to advance diagnosis and treatment strategies.展开更多
AIM:To summarize publication trends in the field of strabismus over the past 30y and predict future research hotspots.METHODS:A total of 2915 English-language articles and reviews on strabismus,published between 1993 ...AIM:To summarize publication trends in the field of strabismus over the past 30y and predict future research hotspots.METHODS:A total of 2915 English-language articles and reviews on strabismus,published between 1993 and 2022,were retrieved from the Web of Science Core Collection.Bibliometric analyses were performed using VOSviewer and CiteSpace software to explore publication trends,as well as the contributions and collaborative networks of countries/regions,authors,institutions,and journals.RESULTS:The annual number of publications on strabismus showed a consistent upward trend.The United States(USA)maintained a leading position in this research field while Republic of Korea and China emerged as rapidly advancing contributors over the last decade.The University of California,Los Angeles ranked as the most productive institution,and Jonathan M.Holmes from USA was the most productive author.Journal of AAPOS was the leading journal with the most strabismus publications,whereas the two most highly cited articles were both published in Ophthalmology.Co-occurrence analysis identified pivotal keywords and burst terms,including intermittent exotropia(IXT),acute acquired comitant esotropia(AACE),functional magnetic resonance imaging(fMRI),and surgical treatment,which were confirmed as predominant and frontier topics.CONCLUSION:This study provides a comprehensive bibliometric analysis of strabismus research,revealing the evolution of research hotspots over the past 30y and outlining several cutting-edge directions for future investigation.展开更多
文摘Medical Data Mining published an article entitled Mapping the global research trends and hotspots on hypertensive nephropathy:A novel bibliometrics overview on 10 October 2025.The author confirmed this article’s proof on 28 September 2025 without any questions.However,on 13 November 2025,the Editorial Office of Medical Data Mining noticed an inconsistency between the data presented in the main text and Figure 1.Specifically,erroneous Figure 1 states“a total of 56,691 literatures were obtained through database search”,while the main text in the Search results section states“According to the search term,a total of 59,220 publications were retrieved from the database.”The authors acknowledge that the original version of Figure 1 was incorrect and have provided the revised,correct version in this corrigendum.The authors would like to assert that there is no change in the body text of the article.
文摘Background:Three-dimensional(3D)printing has revolutionized craniofacial and craniomaxillofacial applications,leading to substantial advancements in patient-specific treatments.In this study,a bibliometric analysis was performed to identify the key contributors,research trends,thematic developments,and collaboration networks in this evolving field.Methods:Two search strategies were employed to ensure a comprehensive analysis:(1)a broad search,in which selected keywords were searched in the title,abstract,and keyword fields to capture all relevant publications,and(2)a title-specific search,in which keywords were restricted to the title field to identify publications with a strong focus on 3D printing in craniofacial and craniomaxillofacial applications.The retrieved dataset was analyzed using VOSviewer and RStudio(bibliometrix package).Results:The broad search retrieved 3534 publications,whereas the title-specific search yielded 280 publications.The analysis of these 280 papers focused on identifying the top authors,universities,and countries,as well as their research dynamics and collaboration networks.A more detailed approach was adopted by examining the titles of these 280 papers.VOSviewer segmented the titles into approximately 800 words,which were then categorized into 18 distinct thematic groups to represent research trends.The focus areas of the ten most cited papers were also analyzed.Conclusion:This bibliometric study provides valuable insights into the progress in 3D printing for craniofacial and craniomaxillofacial applications.By highlighting the key contributors,thematic developments,and collaborative networks,this study offers a foundation for future research in this rapidly advancing field.
文摘Background:Over the past 15 years,research has emphasized the crucial role of the gut microbiota in metabolism and its potential association with osteoporosis.Given the increasing interest in this area,a bibliometric analysis is essential to comprehensively understand the field.Methods:Literature published between 2009 and 2023 was retrieved from the Web of Science.CiteSpace,a tool for visual analysis,was employed to examine various aspects of the research,including the annual number of publications,contributing institutions,journals,authors,keywords,clusters,hotspots,and emerging frontiers.Results:The analysis included 1,075 articles from 80 countries,283 institutions,and 155 authors,reflecting the rapid growth of research in this field.PEOPLES R CHINA emerged as the most productive country,while the University of California System was the most active institution.Parameswaran,Narayanan had the highest number of publications,and LI JY and OHLSSON C were the most cited authors.Key keywords such as“gut microbiota,”“bone loss,”“bone mineral density,”“inflammation,”and“health”were identified,and keywords with strong citation bursts like“in vitro,”“inflammatory bowel disease,”and“bone mineral density”indicated emerging trends.Conclusion:This bibliometric analysis successfully identified research trends and hotspots,including the fecal microbiome,musculoskeletal studies,and postmenopausal women.Continued research in these areas will enhance our understanding of osteoporosis and may lead to the development of new treatments.The findings offer valuable insights for scholars aiming to conduct in-depth research in this field.
基金Hubei Provincial Natural Science Foundation Innovation and Development Joint Fund Project(Project No.:2025AFD278)Three Gorges University Scientific Fund Project(Project No.:2022kj008)Three Gorges University Special Scientific Fund Project(Project No.:2023kjzx001)。
文摘Objective:This paper conducts a bibliometric analysis of the literature on neck pain research from 2000 to 2025,aiming to comprehensively and systematically understand the research landscape,hotspots,and frontier trends in this field,providing a reference for future research directions.Methods:Data were sourced from the Web of Science Core Collection,with the search term TI=“neck pain,”covering the time span from 2000 to 2025,resulting in 2746 articles.Software such as CiteSpace V6.3.R1 and VOSviewer 1.6.20 was used to analyze publication volume,countries,authors,institutions,keywords,and co-citation networks.Results:The number of publications in neck pain research has been increasing year by year,indicating a rising level of research activity.Authors like Falla,D,Jull,G,and institutions such as Univ Queensland and Univ Toronto have significant influence in this field.Co-occurrence analysis of keywords shows that“neck pain,”“low back pain,”and“disability index”are high-frequency keywords,reflecting research hotspots such as the characteristics and treatment of neck pain and its interrelation with pain in other regions.Timeline analysis and keyword emergence analysis reveal the frontiers and development trends in this field,such as the growing attention on emerging therapeutic methods like“exercise therapy”and“dry needling,”while keywords like“intensity,”“individuals,”and“quality”indicate an increasing emphasis on personalization,precision,and quality control in the treatment process.Conclusion:The field of neck pain research is continuously expanding and deepening.Future research should further investigate the pathogenesis of neck pain,its associations with other conditions,the refinement of assessment methods,and the development of innovative rehabilitation strategies.Emphasis should also be placed on interdisciplinary collaboration to provide more robust theoretical foundations and practical guidance for the clinical treatment and rehabilitation management of neck pain.
文摘Objective:To systematically evaluate global research trends on contrast-enhanced ultrasound(CEUS)in tumor diagnosis using bibliometric methods.Methods:Publications from January 2000 to June 2025 were retrieved from the Web of Science Core Collection(SCI-EXPANDED).Only English-language articles and reviews were included.A total of 3,493 records were analyzed.VOSviewer 1.6.20 were used for bibliometric and visualization analyses,covering annual output,countries and institutions,authors,journals,keyword co-occurrence,collaboration networks,and co-citation patterns.Results:The number of publications demonstrated steady growth with acceleration after 2018,peaking in 2021 and 2023(>350 papers/year).Dietrich Christoph F.was the most productive and influential author,while Chinese scholars(e.g.,Dong Yi,Wang Wen-Ping)and institutions such as Sun Yat-sen University and Fudan University emerged as leading contributors.European journals,particularly Ultrasound in Medicine and Biology and European Radiology,showed high academic influence.Keyword analysis revealed liver cancer,especially hepatocellular carcinoma,as the dominant research theme,with expanding applications in breast,renal,and prostate tumors.Collaboration networks highlighted strong partnerships between China and Europe,whereas North American participation remained limited.Co-citation analysis indicated that a small number of highly cited studies shaped the intellectual foundation of the field.Conclusion:CEUS research in tumor diagnosis has expanded rapidly,characterized by concentrated leadership,thematic diversification,and strengthening international collaboration.With advances in artificial intelligence,super-resolution imaging,and novel contrast agents,CEUS is expected to evolve from a diagnostic tool into an integrated platform for tumor detection,treatment monitoring,and personalized cancer care.
基金Supported by the National Natural Science Foundation of China,No.82000531Project for Academic and Technical Leaders of Major Disciplines in Jiangxi Province,No.20212BCJL23065+1 种基金Key Research and Development Program of Jiangxi Province,No.20212BBG73018Youth Project of the Jiangxi Natural Science Foundation,No.20202BABL216006.
文摘BACKGROUND Recently,artificial intelligence(AI)has been widely used in gastrointestinal endoscopy examinations.AIM To comprehensively evaluate the application of AI-assisted endoscopy in detecting different digestive diseases using bibliometric analysis.METHODS Relevant publications from the Web of Science published from 1990 to 2022 were extracted using a combination of the search terms“AI”and“endoscopy”.The following information was recorded from the included publications:Title,author,institution,country,endoscopy type,disease type,performance of AI,publication,citation,journal and H-index.RESULTS A total of 446 studies were included.The number of articles reached its peak in 2021,and the annual citation numbers increased after 2006.China,the United States and Japan were dominant countries in this field,accounting for 28.7%,16.8%,and 15.7%of publications,respectively.The Tada Tomohiro Institute of Gastroenterology and Proctology was the most influential institution.“Cancer”and“polyps”were the hotspots in this field.Colorectal polyps were the most concerning and researched disease,followed by gastric cancer and gastrointestinal bleeding.Conventional endoscopy was the most common type of examination.The accuracy of AI in detecting Barrett’s esophagus,colorectal polyps and gastric cancer from 2018 to 2022 is 87.6%,93.7%and 88.3%,respectively.The detection rates of adenoma and gastrointestinal bleeding from 2018 to 2022 are 31.3%and 96.2%,respectively.CONCLUSION AI could improve the detection rate of digestive tract diseases and a convolutional neural network-based diagnosis program for endoscopic images shows promising results.
基金the National Natural Science Foundation of China,No.82074291the National Natural Science Foundation of China,No.8207153217+1 种基金the High-level Key Discipline of the National Administration of Traditional Chinese Medicine-Traditional Chinese Constitutional Medicine,No.zyyzdxk-2023251the Beijing University of Traditional Chinese Medicine Campus Level Project,No.90010961020140.
文摘BACKGROUND Overweight/obesity combined with depression among children and adolescents(ODCA)is a global concern.The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity.Childhood and adolescence represent critical periods for physical and psychological development,during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes.AIM To evaluate the relationship between ODCA,we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies.METHODS From 2004 to 2023,articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection.Bibliometric analysis of relevant publications,including countries/regions,institutions,authors,journals,references,and keywords,was conducted using the online bibliometric analysis platforms,CiteSpace,VOSviewer,and bibliometrix.RESULTS Between 2004 and 2023,a total of 1573 articles were published on ODCA.The United States has made leading contributions in this field,with Harvard University emerging as the leading contributor in terms of research output,and Tanofsky being the most prolific author.The J Adolescent Health has shown significant activity in this domain.Based on the results of the keyword and reference analyses,inequality,adverse childhood experiences,and comorbidities have become hot topics in ODCA.Moreover,the impact of balancedrelated behavior and exploration of the biological mechanisms,including the potential role of key adipocytokines and lipokines,as well as inflammation in ODCA,have emerged as frontier topics.CONCLUSION The trend of a significant increase in ODCA publications is expected to continue.The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment.
基金National Research Foundation of Korea-Grant funded by Korean Government(Ministry of Science&ICT)-NRF-2020R1A2B5B02002478 through Dr.Kyung-sup Kwak.
文摘Android has been dominating the smartphone market for more than a decade and has managed to capture 87.8%of the market share.Such popularity of Android has drawn the attention of cybercriminals and malware developers.The malicious applications can steal sensitive information like contacts,read personal messages,record calls,send messages to premium-rate numbers,cause financial loss,gain access to the gallery and can access the user’s geographic location.Numerous surveys on Android security have primarily focused on types of malware attack,their propagation,and techniques to mitigate them.To the best of our knowledge,Android malware literature has never been explored using information modelling techniques.Further,promulgation of contemporary research trends in Android malware research has never been done from semantic point of view.This paper intends to identify intellectual core from Android malware literature using Latent Semantic Analysis(LSA).An extensive corpus of 843 articles on Android malware and security,published during 2009–2019,were processed using LSA.Subsequently,the truncated singular Value Decomposition(SVD)technique was used for dimensionality reduction.Later,machine learning methods were deployed to effectively segregate prominent topic solutions with minimal bias.Apropos to observed term and document loading matrix values,this five core research areas and twenty research trends were identified.Further,potential future research directions have been detailed to offer a quick reference for information scientists.The study concludes to the fact that Android security is crucial for pervasive Android devices.Static analysis is the most widely investigated core area within Android security research and is expected to remain in trend in near future.Research trends indicate the need for a faster yet effective model to detect Android applications causing obfuscation,financial attacks and stealing user information.
文摘The research trend in rare earths has been studied using the Chemical Abstracts (CA) data. The number of papers published from China has been increasing very rapidly since 2001 and today China is the top country in terms of paper contribution on rare earths. This article presents a comparative study of R&D trends among China, Japan and USA.
文摘Automated writing evaluation is the use of computer programs to evaluate essays written in an educational setting.This study aims to evaluate the state of the art and the trends of automated writing evaluation research.A total of 206 automated writing evaluation-related publications published in 88 journals between 1995 and 2022 were used as the data in our study.Bibliometric methods were employed to identify the publication trends,venues for publication,productive authors,highly cited articles,seminal works,and the most frequently explored topics across the past decades.The findings show that automated writing evaluation has become a fast-growing interdisciplinary area of interest.In addition,this line of research has witnessed a growing interest in topics pertaining to the latest technology,the perception of children,the teachers’feedback,and complex tasks.Implications of our study for future research are also discussed.
基金the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(NRF-2019R1G1A1003312)the Ministry of Education(NRF-2021R1I1A3052815).
文摘Analyzing Research and Development(R&D)trends is important because it can influence future decisions regarding R&D direction.In typical trend analysis,topic or technology taxonomies are employed to compute the popularities of the topics or codes over time.Although it is simple and effective,the taxonomies are difficult to manage because new technologies are introduced rapidly.Therefore,recent studies exploit deep learning to extract pre-defined targets such as problems and solutions.Based on the recent advances in question answering(QA)using deep learning,we adopt a multi-turn QA model to extract problems and solutions from Korean R&D reports.With the previous research,we use the reports directly and analyze the difficulties in handling them using QA style on Information Extraction(IE)for sentence-level benchmark dataset.After investigating the characteristics of Korean R&D,we propose a model to deal with multiple and repeated appearances of targets in the reports.Accordingly,we propose a model that includes an algorithm with two novel modules and a prompt.A newly proposed methodology focuses on reformulating a question without a static template or pre-defined knowledge.We show the effectiveness of the proposed model using a Korean R&D report dataset that we constructed and presented an in-depth analysis of the benefits of the multi-turn QA model.
文摘Background:With the rapid development of the world’s technology,the connection and integration between traditional medicine and modern machine learning technology are increasingly close.In this study,we aimed to analyze publications on machine learning in traditional medicine by using bibliometric methods and explore global trends in the field.Methods:Relevant research on machine learning in traditional medicine extracted from the Web of Science Core Collection database.Bibliometric analysis and visualization were performed using the Bibliometrix package in R software.Global trends,source journals,authorship,and thematic keywords analysis were performed in this study.Results:From 2012 to 2022,a total of 282 publications on machine learning in traditional medicine were identified and analyzed.The average annual growth rate of the publications was 13.35%.China had the largest contribution in this field(53.9%),followed by the United States(32.6%).IEEE Access had the largest number of published articles,with a total of 15 articles.Calvin Yu-Chian Chen,Xiao-juan Hu and Jue Wang were the main researchers in this field.Shanghai University of Traditional Chinese Medicine and University of California,San Francisco were the main research institutions.Conclusion:This study provides information on research trends in machine learning in traditional medicine to better understand research hotspots and future developments in this field.According to current global trends,the number of publications in this field will gradually increase.China currently dominated the field.Applied research of machine learning techniques may be the next hot topic in this field and deserves further attention.
基金the helpful funding from the Ministry for Science and technology of China (GrantNo. 2007BAC03A11-04)National Natural Science Foundation of China (Grant No. 41101118)+1 种基金China Postdoctor Science Foundation (Grant No. 20100480438)National Project 973 (Grant No.2012CB95570002)
文摘Given the growing awareness of the likely catastrophic impacts of climate change and close association of climate change with global emissions of greenhouse gases （of which carbon dioxide is more prominent） , considerable research efforts have been devoted to the analysis of carbon dioxide （CO2） emissions and its relationship to sustainable development. Now GHG reduction programs have been coming into effect in many developed coun- tries that have more responsibility for historical CO2 emissions, and the studies have become mature. First, the GHG emissions accounting system is more all-inclusive and the methods are more rational with the effort of IPCC from 1995 and all other research- ers related. Second, the responsibility allocation is more rational and fair. Along with the clarity of ＂carbon transfer＂ and ＂carbon leakage＂, the perspective and methodology for allocating regional COz emissions responsibility is turning from production base to consumption base. Third, the decomposition method has become more mature and more complex. For example, the decomposition formulas are including KAYA expression and input-output expres- sion and the decomposition techniques are developed from index analysis to simple average divisia and then adaptive-weighting divisia. Fourth, projection models have become more integrated and long-term. The top-down model and bottom-up model are both inter-embedded and synergetic. Trends above give some advice for the research on CO2 in China, such as emissions factors database construction, deeper-going research on emissions responsibility and structure analysis, promotion of modeling technology and technology-environment database.
基金This study was funded by grants from the Zhejiang Province Traditional Chinese Medicine Science and Technology Project(2023ZL056)the Foundation Project of Zhejiang Chinese Medical University(2022JKJNTZ16).
文摘Background:Piwi-interacting RNAs(piRNAs)are a type of non-coding RNAs,initially identified in germ cells in 2006,known to bind to the Piwi family proteins.Accumulating studies indicate their importance in genome stability,epigenetics regulation,germ cell differentiation,and tumor development.Despite growing interest in piRNA research,there is a lack of comprehensive bibliometric studies on the subject.This study aims to analyze piRNA research trends from 2006 to 2023.Methods:The literature regarding piRNA was sourced from the Web of Science on April 25,2023.VOSviewer,CiteSpace and a bibliometric online website(https://bibliometric.com/app)were employed to perform bibliometric analysis.Network maps were constructed to evaluate the collaborations among countries,institutions,authors,journals,references,keywords,and research hot pots.Results:In this study,2549 literature were published across 464 countries and 6921 institutions,comprising 2010 articles and 539 reviews.The United States led in publication output(n=1011,39.66%),followed by China(635,24.91%).The University of Tokyo had the most publications among all institutions(n=100,3.92%),followed by the Chinese Academy of Sciences(n=86,3.37%).Among 631 published journals,Nucleic Acids Research was the most published journal(n=83,3.26%).Siomi Mikiko C published the most articles(n=58),with Aravin Alexei A as the most co-cited author.Analysis of term co-occurrence unveiled three highly interconnected clusters,including“piRNA biogenesis and function”,“cancer and regulation”,as well as“protein and species”.The research focus has transferred from male reproductive development to tumor progression.Conclusion:This bibliometric analysis offered a thorough overview of the current state of piRNA research,deepening understanding of the progress in this field over the last 17 years and providing a valuable reference for scholars engaged in piRNA studies.
文摘Curtis J.Bonk defined blended learning as a combination of face-to-face and computer-assisted online learning instruction since it was gradually formed after the emergence of the Internet[1,2].Breen pointed out that blended learning is a learning method that combines online and offline learning activities and resources[3].The blended learning approach is popular in school and e-learning.Moreover,it is one of the important trends in promoting higher education reform in the coming years.Therefore,it has attracted the attention of international researchers[4].In this paper,42 articles in Scopus(established by international institutions)and 30 articles in CNKI(found by Chinese mainland institutions)on the query of“college English reading blended learning”in the field of education were analyzed.Furthermore,CiteSpace software was used to analyze the research hotspots and trends with the keyword clusters and citations that occurred in the last two decades(1999 to 2022)to foresee future research prospects.
基金supported by grants from the National Natural Science Foundation of China(No.82271426).
文摘Background:Hemifacial spasm(HFS)is a neurological disorder characterized by involuntary facial muscle contractions,significantly impacting quality of life.This study aims to provide a comprehensive bibliometric analysis of global research trends,collaborations,and scientific contributions in the field of HFS,addressing publication patterns,influential authors and institutions,and prominent research topics from 1999 to 2024.Methods:We conducted a bibliometric analysis based on 1,884 publications retrieved from the Web of Science Core Collection using the keyword"Hemifacial Spasm."Data analysis and visualization were performed using Microsoft Excel,R/Bibliometrix,Scimago Graphica,VOSviewer,Pajek,and CiteSpace.Parameters assessed included publication trends,author collaborations,institutional contributions,core journals,citation metrics,and keyword clusters.Results:Among the analyzed publications,1,646 were original research articles,and 238 were reviews,involving 6,063 researchers and citing 25,252 references.The United States,China,and Japan were identified as leading contributing countries,with prominent institutions including Shanghai Jiao Tong University,Sungkyunkwan University,and the University of Pittsburgh.Top authors by publication count were Li Shiting,Park Kwan,and Zhong Jun,whereas Peter J.Jannetta,Albert R.Møller,and Janko Jankovic were most frequently cited.Core journals,identified via Bradford’s Law,included Acta Neurochirurgica,World Neurosurgery,and Journal of Neurosurgery.Keyword analysis highlighted focal research areas:"hemifacial spasm","microvascular decompression",and"trigeminal neuralgia".Conclusion:This bibliometric study provides critical insights into the evolution of research on HFS,highlighting key contributors,institutional influence,and research hotspots.The findings underscore ongoing collaborative opportunities and essential areas for future research exploration.
基金supported by the National Key Research and Development Project(No.2023YFC3503802)the Key Technology Research and Development Program of Shandong(No.2022TZXD0036)+2 种基金Key project at central government level:The ability establishment of sustainable use for valuable Chinese medicine resources(2060302)the Natural Science Foundation of Shandong Province(No.ZR2022MH101,ZR2024MH253)the Open Projects Fund of the Shandong Key Laboratory of Carbohydrate Chemistry and Glycobiology,Shandong University(No.2023CCG12).
文摘American ginseng(Panax quinquefolius L.),a widely used herbal medicine and dietary supplement,has attracted increasing attention from both academia and industry in recent years.To better understand the research frontiers and hotspots,we conducted a bibliometric analysis of American ginseng studies indexed in the Web of Science Core Collection from 1985 to 2024,using CiteSpace and VOSviewer.A total of 1169 publications were identified,with a marked increase in output since 2011.Hotspot analysis revealed growing interest in pharmacological effects,ginsenoside analysis,polysaccharide studies,and quality control.Furthermore,we assessed future research trends,suggesting that quality control and the modulation of gut microbiota will remain central topics.This study provides a clearer understanding of the evolving research landscape on American ginseng and offers guidance for future investigations.
文摘Background:Facelift procedures represent a critical area of aesthetic and reconstructive surgery that addresses the physical and psychological impacts of facial aging.Advancements in techniques and technologies over time have transformed the field,making it essential to assess the evolution of research trends.This study performed a bibliometric analysis of facelift research by examining the top 50 most cited publications to evaluate their contributions,thematic evolution,and collaborative networks.Methods:The Scopus database was used to identify relevant publications.A total of 50 documents were selected,comprising 47 articles and 3 reviews published across 16 academic sources.The inclusion criteria focused on publications with substantial relevance to facelift research;this ensured comprehensive coverage of the topic.Key performance indicators(for the authors)such as the number of papers,total citations,h-index,g-index,m-index,HG composite,and Q2 index were calculated.Citation analysis and collaborative network mapping were conducted to identify the leading contributors,including authors,universities,countries,and sources.Results:The findings indicated an annual growth rate of 1.34%,with an average document age of 29.4 years and an average citation count per document of 134.9.The analysis identified the top authors and their collaborative networks,along with key contributions from various universities,countries,and sources.The thematic evolution of facelift research was examined across these 50 papers;this revealed important trends and shifts within the field.Conclusion:This bibliometric analysis offers valuable insights into the development and influence of facelift research over a 52-year span.It highlights significant contributors and outlines thematic shifts,providing directions for future research and collaboration in this field.
基金Supported by National Natural Science Foundation of China,No.82372070 and No.82072037。
文摘BACKGROUND Hepatocellular carcinoma(HCC)is a major cause of cancer-related mortality worldwide,and the research landscape has rapidly evolved over the past two decades.Despite significant progress,an in-depth analysis of global research trends,collaborative networks,and emerging themes in HCC remains limited.This study aimed to fill this gap by conducting a bibliometric analysis to map the research output,identify key contributors,and highlight future directions in HCC research.We hypothesized that the analysis would reveal a growing focus on molecular mechanisms and immunotherapy,with increasing contributions from specific countries and institutions.AIM To investigate global research trends,collaborative networks,and emerging themes in HCC from 2004 to 2023.METHODS A bibliometric analysis was performed using 93987 publications from the Science Citation Index Expanded Database of the Web of Science Core Collection.Data were analyzed using the VOSviewer software to identify publication trends,leading contributors,and research themes.Key metrics included annual publication output,country and institutional contributions,journal impact,and thematic clusters.Statistical analysis was carried out to quantify trends and collaborations.RESULTS The number of annual publications increased from 2341 in 2004 to 8756 in 2023,with 65583 papers(69.78%)published between 2014 and 2023.China,the United States,and Japan were the top contributors,constituting 58.3%of total publications.PLOS One published the most studies(n=2145),while Gastroenterology had the highest average number of citations(78.4 citations per paper).Fudan University was the most prolific institution(n=1872).Thematic analysis identified five main clusters,namely molecular mechanisms,therapeutic strategies,prognosis and immunology,risk factors,and diagnostic approaches.CONCLUSION This study highlights the growing focus on HCC research,particularly in immunotherapy and molecular mechanisms,underscoring the significance of international collaboration to advance diagnosis and treatment strategies.
基金Supported by National Natural Science Foundation of China(No.82020108006,No.81730025).
文摘AIM:To summarize publication trends in the field of strabismus over the past 30y and predict future research hotspots.METHODS:A total of 2915 English-language articles and reviews on strabismus,published between 1993 and 2022,were retrieved from the Web of Science Core Collection.Bibliometric analyses were performed using VOSviewer and CiteSpace software to explore publication trends,as well as the contributions and collaborative networks of countries/regions,authors,institutions,and journals.RESULTS:The annual number of publications on strabismus showed a consistent upward trend.The United States(USA)maintained a leading position in this research field while Republic of Korea and China emerged as rapidly advancing contributors over the last decade.The University of California,Los Angeles ranked as the most productive institution,and Jonathan M.Holmes from USA was the most productive author.Journal of AAPOS was the leading journal with the most strabismus publications,whereas the two most highly cited articles were both published in Ophthalmology.Co-occurrence analysis identified pivotal keywords and burst terms,including intermittent exotropia(IXT),acute acquired comitant esotropia(AACE),functional magnetic resonance imaging(fMRI),and surgical treatment,which were confirmed as predominant and frontier topics.CONCLUSION:This study provides a comprehensive bibliometric analysis of strabismus research,revealing the evolution of research hotspots over the past 30y and outlining several cutting-edge directions for future investigation.
