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Global Scientific trends in research Related to Diabetic Sarcopenia from 1993 to 2023: A Bibliometric Analysis

Journal of Biosciences and Medicines 2024年第3期12卷 204-222页

作者： Qing Yang Yuan Zhao Han Lu Yaolei Cha Lijie Yang College of Nursing Dali University Dali China

Objectives: In this study, bibliometric approach was used to explore the literature in the field of research related to Diabetic Myasthenia Gravis in order to identify the current research progress in Diabetic Myasthenia Gravis related research and to help the researchers to predict the future hotspots in the field of research and to provide reference for the research. Methods: Literature related to diabetic sarcopenia published from 1993 to 2023 since the inception of the repository was extracted from the Web of Science Core Collection (WoSCC) and bibliometric analyses were performed. We have analysed the published literature of the last approximately almost 30 years, as well as publication and citation analyses from different countries, institutions, journals and authors. For keywords, we performed co-occurrence, clustering, timeline view and citation burst analysis. Results: On the basis of 1564 publications, we found a continuous increase in the number of publications and citations, especially in the last six years. The United States is the most representative country, and Seoul National University (SNU) is the most representative institution. The most popular journal in the field is Diabetes Care;Fukui, Michiaki is the most prolific author, leading many studies related to diabetic sarcopenia. The most frequently cited reference was a revised European consensus on the definition and diagnosis of sarcopenia;the most cited keywords were related to physiological factors of diabetes, sarcopenia and related conditions, such as “insulin resistance”, “skeletal muscle”, “body composition”, “risk” and “prevalence”. Conclusion: With more and more studies on the relationship between diabetic sarcopenia, this study presents the current status and trend of research related to diabetic sarcopenia over the past nearly 30 years through the visualization software CiteSpace. It can help researchers identify potential collaborators and partner institutions, hotspots and research frontiers in the field of diabetic sarcopenia. Ho

关键词： Diabetes Sarcopenia Bibliometrics research trends Citespace

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Hotspots and research trends of Piwi-interacting RNAs from 2006 to 2023 based on bibliometric analysis

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Medical Data Mining 2024年第3期7卷 33-45页

作者： Lu Shen Zhe-Zhong Zhang Shi-Liang Chen Ting-Yu Weng Department of Clinical Laboratory The First Affiliated Hospital of Zhejiang Chinese Medical University(Zhejiang Provincial Hospital of Chinese Medicine)Hangzhou 310006China Department of Pathology The First People’s Hospital of Fuyang DistrictHangzhou 311499China

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://***/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.

关键词： piRNA research trends bibliometric analysis VOSviewer CiteSpace

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research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022

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World Journal of Gastroenterology 2023年第22期29卷 3561-3573页

作者： Ren-Chun Du Yao-Bin Ouyang Yi Hu Department of Gastroenterology The First Affiliated Hospital of Nanchang UniversityNanchang 330006Jiangxi ProvinceChina Department of Oncology Mayo ClinicRochesterMN 55905United States Department of Surgery The Chinese University of Hong KongHong Kong 999077China

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.

关键词： Bibliometric analysis Artificial intelligence Endoscopy Publications research trends

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research trends of worldwide ophthalmologic randomized controlled trials in the 21st century:A bibliometric study

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Advances in Ophthalmology Practice and research 2023年第4期3卷 159-170页

作者： Hao Wang Qiang Ye Weihe Xu Jing Wang Jianhan Liu Xintong Xu Wenfang Zhang Department of Ophthalmology Lanzhou University Second HospitalLanzhouChina Medical School of Chinese PLA BeijingChina Department of Ophthalmology Chinese PLA General HospitalBeijingChina

Background:Randomized controlled trials(RCTs)are often considered the gold standard and the cornerstone for clinical practice.However,bibliometric studies on worldwide RCTs of ophthalmology published in the 21st century have not been reported in detail yet.This study aims to perform a bibliometric study and visualization analysis of worldwide ophthalmologic RCTs in the 21st century.Methods:Global ophthalmologic RCTs from 2000 to 2022 were searched in the Web of Science Core Collection.The number of publications,country/region,institution,author,journal,and research hotspots of RCTs were analyzed using HistCite,VOSviewer,CiteSpace,and Excel software.Results:2366 institutions and 90 journals from 83 countries/regions participated in the publication of 1769 global ophthalmologic RCTs,with the United States leading in the number of volumes and research field,and the Moorfields Eye Hospital contributing to the most publications.Ophthalmology received the greatest number of publications and co-citations.Jeffrey S.Heier owned the most publications and Jost B.Jonas owned the most cocitations.The knowledge foundations of global ophthalmologic RCTs were mainly retinopathy,glaucoma,dry eye disease(DED),and cataracts,and anti-vascular endothelial growth factor(VEGF)therapy(ranibizumab),topical ocular hypotensive medication,laser trabeculoplasty.Anti-VEGF therapy for age-related macular degeneration(AMD),DME(diabetic macular edema),and DED,the use of new diagnostic tools,and myopia were the hottest research highlights.Anti-VEGF therapy,prompt laser,triamcinolone,and verteporfin photodynamic therapy for AMD,DME,and CNV(choroidal neovascularization),DED,myopia,and open-angle glaucoma were the research hotspots with the longest duration.The future research hotspots might be DED and the prevention and control of myopia.Conclusions:Overall,the number of global ophthalmologic RCTs in the 21st century was keeping growing,there was an imbalance between the regions and institutions,and more efforts are required to raise the quantity,q

关键词： Ophthalmology Randomized controlled trials(RCTs) The 21st century Worldwide Bibliometric research trends

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A Bibliometric Analysis and Visualization of Current research trends in Chinese Medicine for Osteosarcoma

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Chinese Journal of Integrative Medicine 2022年第5期28卷 445-452页

作者： YIN Meng-chen WANG Hong-shen YANG Xi XU Chong-qing WANG Tao YAN Yin-jie FAN Zhao-xiang MA Jun-ming YE Jie MO Wen Department of Orthopaedics Longhua HospitalShanghai University of Traditional Chinese MedicineShanghai(200032)China Division of Spine Surgery Center Guangdong Provincial Hospital of Traditional Chinese MedicineGuangzhou(510120)China Cancer Institute Longhua HospitalShanghai University of Traditional Chinese MedicineShanghai(200032)China

Background:To illustrate the research framework,overall knowledge structure,and development trends of Chinese medicine(CM)treatment for osteosarcoma(OS)by using a bibliometric analysis and newly developed visualization tools.Methods:research datasets were acquired from the Web of Science(WOS)database from January 1,1980 to September 30,2019.VOS viewer and Citespace software was used to analyze the data and generate visualization knowledge maps.Annual trends of publications,distribution of institutes,distribution of journals,citation and H-index status,co-authorship status,research hotspots and co-citation status were analyzed.Results:A total of 223 publications in the WOS database met the requirement.The number of published articles showed a rise but the citation frequency and the H-index of China were relatively low.The cooperation between the countries,institutes and authors were relatively weak.Most publications were basic researches.Most of the previous researches focused on basic mechanisms of CM in treating OS,and therapy and improvement of dosage form may become a frontier in this research field.Conclusions:Compared with other fields,the field of CM treatment for osteosarcome is still in infancy.The distribution of researches is imbalanced and cooperation between countries,institutions and authors remains to be strengthened.Furthermore,basic research occupies an absolute dominant position,and the exploration of the molecular mechanism of CM in preventing and treating OS may become a key point in the future.

关键词： osteosarcoma Chinese medicine bibliometric analysis visualization research trends

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trends and hotspots in gastrointestinal neoplasms risk assessment: A bibliometric analysis from 1984 to 2022

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World Journal of Gastrointestinal Oncology 2024年第6期16卷 2842-2861页

作者： Qiang-Qiang Fu Le Ma Xiao-Min Niu Hua-Xin Zhao Xu-Hua Ge Hua Jin De-Hua Yu Sen Yang Department of General Practice Yangpu HospitalSchool of MedicineTongji UniversityShanghai 200090China Shanghai General Practice and Community Health Development research Center Shanghai 200090China Department of Shanghai Lung Cancer Center Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghai 200030China Department of Oncology Shanghai Tenth People’s HospitalTongji University School of MedicineShanghai 200090China

BACKGROUND Gastrointestinal neoplasm(GN)significantly impact the global cancer burden and mortality,necessitating early detection and treatment.Understanding the evolution and current state of research in this field is vital.AIM To conducts a comprehensive bibliometric analysis of publications from 1984 to 2022 to elucidate the trends and hotspots in the GN risk assessment research,focusing on key contributors,institutions,and thematic evolution.METHODS This study conducted a bibliometric analysis of data from the Web of Science Core Collection database using the"bibliometrix"R package,VOSviewer,and CiteSpace.The analysis focused on the distribution of publications,contributions by institutions and countries,and trends in keywords.The methods included data synthesis,network analysis,and visualization of international collaboration networks.RESULTS This analysis of 1371 articles on GN risk assessment revealed a notable evolution in terms of research focus and collaboration.It highlights the United States'critical role in advancing this field,with significant contributions from institutions such as Brigham and Women's Hospital and the National Cancer Institute.The last five years,substantial advancements have been made,representing nearly 45%of the examined literature.Publication rates have dramatically increased,from 20 articles in 2002 to 112 in 2022,reflecting intensified research efforts.This study underscores a growing trend toward interdisciplinary and international collaboration,with the Journal of Clinical Oncology standing out as a key publication outlet.This shift toward more comprehensive and collaborative research methods marks a significant step in addressing GN risks.CONCLUSION This study underscores advancements in GN risk assessment through genetic analyses and machine learning and reveals significant geographical disparities in research emphasis.This calls for enhanced global collaboration and integration of artificial intelligence to improve cancer prevention and treatment accuracy,ultimately enha

关键词： Gastrointestinal neoplasms Bibliometric analysis Risk assessment Network analysis research trends

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research trends of machine learning in traditional medicine:a big-data based tenyear bibliometric analysis

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Traditional Medicine research 2023年第7期8卷 1-10页

作者： Wen-Cai Liu Meng-Pan Li Hai-Yue Huang Jing-Jie Min Tao Liu Ming-Xuan Li Wei-Jie Liao Hui Ying Jun-Bo Tu Department of Orthopaedics Shanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghai 200233China Department of Orthopaedic Surgery the First Affiliated Hospital of Nanchang UniversityNanchang 330006China Department of Clinical Medicine the First Clinical Medical College of Nanchang UniversityNanchang 330006China School of Basic Medical Sciences Nanchang UniversityNanchang 330006China Department of Clinical Medicine Fuzhou Medical College of Nanchang UniversityFuzhou 344099China Department of Emergency Trauma Surgery Ganzhou People’s HospitalGanzhou 341000China Department of Orthopaedics Xinfeng County People’s HospitalXinfeng 341600China

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.

关键词： bibliometric analysis machine learning traditional medicine Web of Science research trends

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Understanding research trends in Android Malware research Using Information Modelling Techniques

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Computers, Materials & Continua 2021年第3期66卷 2655-2670页

作者： Jaiteg Singh Tanya Gera Farman Ali Deepak Thakur Karamjeet Singh Kyung-sup Kwak Chitkara University Institute of Engineering&Technology Chitkara UniversityPunjab140401India Department of Software Sejong UniversitySeoul05006South Korea Department of Computer Science and Engineering Thapar UniversityPatiala147001India Department of Information&Communication Engineering Inha UniversityIncheon22212South Korea

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.

关键词： Android security research trends latent semantic analysis vulnerabilities malware machine learning clustering

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trends in research on osteoarthritis of the knee in conventional medicine:a bibliometric analysis based on big data from 1990-2022

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TMR Integrative Medicine 2023年第6期7卷 1-10页

作者： Zhu-Ce Shao Shu-Xiong Bi Third Hospital of Shanxi Medical University Shanxi Bethune HospitalShanxi Academy of Medical SciencesTongji Shanxi HospitalTaiyuan 030032China.

Background:Osteoarthritis of the knee(KOA)is a chronic degenerative disease.KOA is a growing concern due to its high incidence and the pain and other burdens it places on patients.Traditional medicine is a health care model with a long history that includes nature-based treatments,psycho-psychological types of treatments,and more.Traditional medicine is also more effective in diagnosing and treating KOA,and it has never stopped researching KOA.There are no bibliometric studies analyzing articles on the traditional medical diagnosis and management of KOA.This study aimed to comprehensively analyze and analyze the general trends in the study of KOA in traditional medicine from a bibliometric perspective.Methods:All articles reporting on KOA and traditional medicine from 1 January 1990 to 01 November 2022 were obtained from the Web of Science Core.Some software such as CiteSpace,VOS Viewer and Scimago Graphica were used to analyse the publications,which included authors,citations,journals,references,countries where studies were published,institutions and research keywords.The final visualisations were produced using this data.Results:A total of 769 articles were searched.Peijian Tong was identified as the most contributing and published author in the field,and medicine was identified as the most reputable journal in the field of traditional medicine and osteoarthritis of the knee.China is a global leader in the field and a centre of collaboration in the field,with a major concentration of traditional medicine in Asia,which is consistent with the evidence that traditional medicine originated in Asia.According to the data,“osteoarthritis”,“knee osteoarthritis”,“pain”,and“knee”and“hip”were identified as hot keywords for research in this area.Conclusions:The results of this bibliometric study provide a snapshot of the current state of clinical research in the treatment of KOA in traditional medicine and are well placed to envisage future hotspots and possible trends,and may help to provide researchers with more than eno

关键词： knee osteoarthritis traditional medicine bibliometrics visualized study research trends big data

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Automated writing evaluation(1995-2022):research trends and implications

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语言测试与评价 2023年第1期 61-88,123页

作者： ZHANG TINGYU LEI LEI Shanghai International Studies University

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.

关键词： automated writing evaluation research trends bibliometric analysis

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