Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

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Analysis of COVID-19 Research Status in the Field of Traditional Chinese Medicine from the Perspective of Bibliometrics

Authors
Shiwen Wang1, Yuanquan Pan1, *, Songqing Bai1, Chenyan Yang1, Qi Shao1
1School of Management of Tianjin, Normal University, Tianjin, 300387, China
*Corresponding author. Email: pan18753437528@163.com
Corresponding Author
Yuanquan Pan
Available Online 29 March 2023.
DOI
10.2991/978-94-6463-124-1_68How to use a DOI?
Keywords
COVID-19; Traditional Chinese medicine; Bibliometric; Visual analysis; VOS viewer
Abstract

Objective: To explore the research status, theme changes and regular characteristics of novel coronavirus in the field of traditional Chinese medicine. Methods: Chinese and English literatures related to COVID-19 in the field of traditional Chinese medicine were retrieved, and the contents of the articles were clustered and analyzed. Results: There were 4,326 Chinese and 1, 040 English documents which met the requirements, and the time span was from January 1, 2020 to June 16, 2022. Conclusion: The research topics of TCM are characterized by stages, close cooperation among research groups, and the degree of integration of traditional Chinese and western medicine is gradually increasing, but there are still some deficiencies in the dissemination.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 March 2023
ISBN
978-94-6463-124-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-124-1_68How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shiwen Wang
AU  - Yuanquan Pan
AU  - Songqing Bai
AU  - Chenyan Yang
AU  - Qi Shao
PY  - 2023
DA  - 2023/03/29
TI  - Analysis of COVID-19 Research Status in the Field of Traditional Chinese Medicine from the Perspective of Bibliometrics
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 584
EP  - 593
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_68
DO  - 10.2991/978-94-6463-124-1_68
ID  - Wang2023
ER  -