Academic Influence Analysis of Highly Cited Paper on Research on “Female Images in Yuan Dynasty Miscellaneous Drama” Based on Citespace
Authors
Ziqi Mao1, *
1School of Arts and Communication, China University of Geosciences, Wuhan, 4300070, Hubei, China
*Corresponding author.
Email: 1013934751@qq.com
Corresponding Author
Ziqi Mao
Available Online 9 September 2023.
- DOI
- 10.2991/978-2-38476-092-3_205How to use a DOI?
- Keywords
- female images in the Yuan dynasty Miscellaneous Drama; visualization; highly cited
- Abstract
Based on Citespace and literature measurement software and using visual analysis technology, this paper takes the literature on the research field of female images in Yuan Dynasty Miscellaneous Drama in CNKI journals from 1994 to 2023 as the research object. This paper focuses on the authors, institutions, literature sources, discipline distribution and keywords of articles with high citations in the direction of the female image in Yuan miscellaneous dramas studied in China during this period. The basic status quo of the research on the female image in Yuan miscellaneous dramas in China is shown from several aspects.
- 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
TY - CONF AU - Ziqi Mao PY - 2023 DA - 2023/09/09 TI - Academic Influence Analysis of Highly Cited Paper on Research on “Female Images in Yuan Dynasty Miscellaneous Drama” Based on Citespace BT - Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023) PB - Atlantis Press SP - 1592 EP - 1597 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-092-3_205 DO - 10.2991/978-2-38476-092-3_205 ID - Mao2023 ER -