Evaluating Academic Impacts of Traditional Chinese Medicine Scholars Based on Weighted Academic Traces
Ma Sijia1,2,Zhao Yue1,Tong Yuanyuan2,Meng Fanhong2,Li Zhiyong3,Li Yanwen2()
1School of Information Engineering, Minzu University of China, Beijing 100081, China 2Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China 3Institute of Chinese Material Medical, China Academy of Chinese Medical Sciences, Beijing 100700, China
[Objective] This paper proposes an improved academic trace method and quantitatively evaluates the academic impacts of traditional Chinese medicine scholars. It aims to improve the evaluation system of traditional Chinese medicine talents. [Methods] Based on the academic trace method of author position weight, we proposed a weight calculation method of academic trace using the contribution of corresponding authors and journal impact factors. [Results] We compared the performance of four academic trace methods. The proposed one yielded significantly better results and rankings than the others. We also verified the rationality and effectiveness of the proposed method with the award-winning information and Q-index. [Limitations] The evaluation research based on weight academic trace is only carried out for the English papers of traditional Chinese medicine scholars, and the subsequent experiments will be carried out to verify the Chinese papers of scholars and other scholars in the field of traditional Chinese medicine.[Conclusions] The proposed weighted academic trace method could effectively evaluate the impacts of scholars in traditional Chinese medicine.
马斯佳, 赵悦, 童元元, 孟凡红, 李志勇, 李彦文. 基于权重学术迹的中医药学者学术影响力评价方法研究*[J]. 数据分析与知识发现, 2023, 7(8): 163-174.
Ma Sijia, Zhao Yue, Tong Yuanyuan, Meng Fanhong, Li Zhiyong, Li Yanwen. Evaluating Academic Impacts of Traditional Chinese Medicine Scholars Based on Weighted Academic Traces. Data Analysis and Knowledge Discovery, 2023, 7(8): 163-174.
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