Paper
28 March 2023 The research of Shaolin Wushu in China: data analysis based on Citespace V
Xiaobing Wang, Dongxiang Huang
Author Affiliations +
Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125971Z (2023) https://doi.org/10.1117/12.2671910
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China
Abstract
In order to overall examine the Chinese research of the development dynamic, hotspots and trends of Shaolin Wushu, this paper used Citespace V software to make a scientometric and visual analysis on160 papers regarding Shaolin Wushu. The papers were selected from core journals, CSSCI and CSCD of CNKI database from 1992 to 2021. First, it was found that the number of published papers in Shaolin Wushu showed a normal distribution, reaching a peak in 2013, and then gradually declining. Based on the research institutions, the top three in terms of published papers were Henan University, Zhengzhou University, and Anyang Normal University, all of that were in Henan Province which was the main province for publishing Shaolin Wushu research. Second, the research in the field of Shaolin Wushu was relatively scattered, and a stable group of journals were not formed. Third, a stable group of authors publishing the papers of Shaolin Wushu were not made, and most of the current research were privately written. Fourth, the hotspot in the field of Shaolin Wushu were consisted of Shaolin Temple, Wushu culture, Chinese Wushu, sports tourism and sports history. The focus of Shaolin Wushu research is to be expanding, and the research topics tend is to be diversified and integrated.
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Xiaobing Wang and Dongxiang Huang "The research of Shaolin Wushu in China: data analysis based on Citespace V", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125971Z (28 March 2023); https://doi.org/10.1117/12.2671910
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KEYWORDS
Analytical research

Visualization

Data analysis

Scientific research

Visual analytics

Databases

Statistical analysis

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