Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods
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....
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Pharmacological Research - Modern Chinese Medicine |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667142524002136 |
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| author | Hongjin Wu Shenguang Li Weiwei Dai Libo Wang Jie Zhang Chenglong Wang |
| author_facet | Hongjin Wu Shenguang Li Weiwei Dai Libo Wang Jie Zhang Chenglong Wang |
| author_sort | Hongjin Wu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-fb07697ccfe049e28ad4ad6259f94bdb |
| institution | DOAJ |
| issn | 2667-1425 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Pharmacological Research - Modern Chinese Medicine |
| spelling | doaj-art-fb07697ccfe049e28ad4ad6259f94bdb2025-08-20T02:52:23ZengElsevierPharmacological Research - Modern Chinese Medicine2667-14252025-03-011410057110.1016/j.prmcm.2024.100571Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methodsHongjin Wu0Shenguang Li1Weiwei Dai2Libo Wang3Jie Zhang4Chenglong Wang5Central Laboratory for Science and Technology, Longhua Hospital Shanghai University of traditional Chinese Medicine, Shanghai, 200032, China; Corresponding author.Shanghai Minhang integrated traditional Chinese and Western Medicine Hospital, Shanghai, 201199, ChinaCentral Laboratory for Science and Technology, Longhua Hospital Shanghai University of traditional Chinese Medicine, Shanghai, 200032, ChinaCentral Laboratory for Science and Technology, Longhua Hospital Shanghai University of traditional Chinese Medicine, Shanghai, 200032, ChinaCentral Laboratory for Science and Technology, Longhua Hospital Shanghai University of traditional Chinese Medicine, Shanghai, 200032, ChinaCentral Laboratory for Science and Technology, Longhua Hospital Shanghai University of traditional Chinese Medicine, Shanghai, 200032, ChinaIntroduction: 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.http://www.sciencedirect.com/science/article/pii/S2667142524002136Software applicationTraditional Chinese medicineBibliometrics analysisKnowledge graph |
| spellingShingle | Hongjin Wu Shenguang Li Weiwei Dai Libo Wang Jie Zhang Chenglong Wang Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods Pharmacological Research - Modern Chinese Medicine Software application Traditional Chinese medicine Bibliometrics analysis Knowledge graph |
| title | Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods |
| title_full | Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods |
| title_fullStr | Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods |
| title_full_unstemmed | Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods |
| title_short | Visualization analysis of academic software applied to traditional Chinese medicine research based on bibliometrics methods |
| title_sort | visualization analysis of academic software applied to traditional chinese medicine research based on bibliometrics methods |
| topic | Software application Traditional Chinese medicine Bibliometrics analysis Knowledge graph |
| url | http://www.sciencedirect.com/science/article/pii/S2667142524002136 |
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