Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods

Hongjin Wu , Shenguang Li , Weiwei Dai , Libo Wang , Jie Zhang , Chenglong Wang
{"title":"Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods","authors":"Hongjin Wu ,&nbsp;Shenguang Li ,&nbsp;Weiwei Dai ,&nbsp;Libo Wang ,&nbsp;Jie Zhang ,&nbsp;Chenglong Wang","doi":"10.1016/j.prmcm.2024.100571","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Academic research software played an increasingly critical role in traditional Chinese medicine (TCM). Studies have explored the usage and influence of software tools. However, few studies have quantified the impact of scientific software on TCM research using CiteSpace and VOSviewer.</div></div><div><h3>Methods</h3><div>Articles related to TCM research with software applications from 1991 to 2024 were searched from the core collection database of Web of Science (WOS) and CNKI database. EndNote software was used for initial data screening. The authors, countries, institutions, keyword co-occurrence, keywords burst were analyzed using CiteSpace and VOSviewer for constructing a knowledge map.</div></div><div><h3>Results</h3><div>A total of 35,981 articles related to relevant TCM research were obtained. The publications had shown an upward trend over the past decades. In 2022, the relevant publications reached an all-time high of 2734 (CNKI) and 1873 (WOS) articles. The top three journals with the most publications were “Medicine”, “Evidence-based complementary and alternative medicine”, “Frontiers in Pharmacology”. The top three scholars with the most articles were <em>Liu Jianping, Lee Myeong Soo, and Liang Fangrong</em>. China, United States, and England were major contributors to relevant TCM research. Beijing University of Chinese Medicine, China Academy Chinese Medical and Guangzhou University of Chinese Medicine were leading institutions in this field. Keywords analysis showed that hot spots and trends in relevant research mainly focusing on systematic review, alternative medicine, acupuncture, and TCM network pharmacology.</div></div><div><h3>Discussion</h3><div>This analysis identified the most influential authors, institutions, and countries in TCM research with software applications, and provided a reference for assessing their academic impact. The analysis of keywords and software applications was useful for analyzing research hotspots and their evolution, as well as for predicting future trends.</div></div>","PeriodicalId":101013,"journal":{"name":"Pharmacological Research - Modern Chinese Medicine","volume":"14 ","pages":"Article 100571"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacological Research - Modern Chinese Medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667142524002136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction

Academic research software played an increasingly critical role in traditional Chinese medicine (TCM). Studies have explored the usage and influence of software tools. However, few studies have quantified the impact of scientific software on TCM research using CiteSpace and VOSviewer.

Methods

Articles related to TCM research with software applications from 1991 to 2024 were searched from the core collection database of Web of Science (WOS) and CNKI database. EndNote software was used for initial data screening. The authors, countries, institutions, keyword co-occurrence, keywords burst were analyzed using CiteSpace and VOSviewer for constructing a knowledge map.

Results

A total of 35,981 articles related to relevant TCM research were obtained. The publications had shown an upward trend over the past decades. In 2022, the relevant publications reached an all-time high of 2734 (CNKI) and 1873 (WOS) articles. The top three journals with the most publications were “Medicine”, “Evidence-based complementary and alternative medicine”, “Frontiers in Pharmacology”. The top three scholars with the most articles were Liu Jianping, Lee Myeong Soo, and Liang Fangrong. China, United States, and England were major contributors to relevant TCM research. Beijing University of Chinese Medicine, China Academy Chinese Medical and Guangzhou University of Chinese Medicine were leading institutions in this field. Keywords analysis showed that hot spots and trends in relevant research mainly focusing on systematic review, alternative medicine, acupuncture, and TCM network pharmacology.

Discussion

This analysis identified the most influential authors, institutions, and countries in TCM research with software applications, and provided a reference for assessing their academic impact. The analysis of keywords and software applications was useful for analyzing research hotspots and their evolution, as well as for predicting future trends.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于文献计量学方法的中医药学术研究软件可视化分析
学术研究软件在中医药领域发挥着越来越重要的作用。研究已经探讨了软件工具的使用和影响。然而,很少有研究使用CiteSpace和VOSviewer量化科学软件对中医研究的影响。方法从Web of Science (WOS)核心数据库和中国知网数据库中检索1991 ~ 2024年与中医药研究相关的文献,并应用软件进行检索。使用EndNote软件进行初步数据筛选。利用CiteSpace和VOSviewer对作者、国家、机构、关键词共现、关键词爆发进行分析,构建知识图谱。结果共获得相关中医药研究文献35,981篇。这些出版物在过去几十年里呈上升趋势。2022年,中国知网(CNKI)和WOS分别发表2734篇和1873篇相关文章,达到历史最高水平。发文量居前三位的期刊分别是《医学》、《循证补充与替代医学》和《药理学前沿》。发表文章最多的前三位学者分别是刘建平、李明洙和梁芳荣。中国、美国和英国是相关中医药研究的主要贡献者。北京中医药大学、中国中医研究院和广州中医药大学是该领域的领先机构。关键词分析显示,相关研究热点和趋势主要集中在系统综述、替代医学、针灸和中医网络药理学。本分析通过软件应用程序确定了中医药研究中最具影响力的作者、机构和国家,并为评估其学术影响力提供了参考。关键词和软件应用的分析有助于分析研究热点及其演变,并预测未来趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.60
自引率
0.00%
发文量
0
期刊最新文献
Machine learning framework for multi-regulatory safety assessment of traditional Chinese medicine compounds Data mining-based investigation of the compatibility principles of Astragali Radix-containing in cardiovascular formulas DNA methylation-mediated effects of traditional chinese medicine in atherosclerosis: a review Pharmacological insights into traditional Chinese medicine for heart failure: Targeting cardiac energy metabolism and mitochondrial function Traditional Chinese medicine–derived phytochemicals in prostate cancer: Mechanisms, progress, and prospects
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1