Article Details

Title · Authors · Abstract · Keywords · DOI · References

Visual Analysis of Generative Artificial Intelligence Research in China Based on CiteSpace

ZHAN Fengzhu1, CHEN Jiayuan1, LIU Yan1,2

(1.School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China; 2.Qiannan Complex System and Intelligent Optimization Laboratory, Duyun 558000, China)

Section:Information Application · Vol. 2025, Issue 9 · Pages:172-175,180 · 2096-4706(2025)09-0172-05 · CLC number:TP391 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.09.032

Abstract

In order to explore the current research hotspots and future development trends in the field of Generative Artificial Intelligence in China, this paper uses CiteSpace tool to visually analyze 486 core journal literatures collected by CNKI database. It is found that the research of Generative Artificial Intelligence is on the rise in general, and the research hotspots include Large Models, human-machine collaboration, higher education, data security, agile governance, and so on. The research topics are divided into basic research of technology, applied value research and risk governance research. With the vigorous development of new technologies such as Generative Artificial Intelligence in the future, we look forward to the arrival of the era of comprehensive Artificial Intelligence.

Keywords

Generative Artificial Intelligence; visual analysis; CiteSpace

References

  1. [1] Yu Guoming, Su Jianwei The Communication Revolution and Media Ecology under the Wave of Generative Artificial Intelligence: From ChatGPT to the Future of Comprehensive Intelligence Era [J]. Journal of Xinjiang Normal University: Philosophy and Social Sciences Edition, 2023, 44 (5): 81-90
  2. [2] Liao Huan, Wang Yizhi Research on the Global Digital Strategy of the United States from the Perspective of Great Power Competition between China and the United States [J]. China Science and Technology Forum, 2024 (6): 143-152+166
  3. [3] Xie Xiaolian Visualization Analysis of Digital Literacy Research in China Based on Knowledge Graph [J]. Library Work and Research, 2022 (10): 67-74
  4. [4] Zhang Linghan, Yu Lin From Traditional Governance to Agile Governance: The Governance Paradigm Innovation of Generative Artificial Intelligence [J]. E-Government, 2023 (9): 2-13
  5. [5] Mao Gang, Wang Lianghui Human computer collaboration: a way to understand and construct the future education world. "Education Development Research, 2021, 41 (1): 16-24
  6. [6] Yang Junfeng, Zhu Haotian, Li Shijin, etc International Consensus, Development Status, and Inclusive Equity of Smart Education: Interpretation of the Research Report "International Understanding of Smart Education from the Perspective of Digital Transformation" [J]. Modern Educational Technology, 2024, 34 (11): 47-57
  7. [7] Zhao Ziyu Generative artificial intelligence data security risks and their responses [J]. Intelligence and Information Work, 2024, 45 (2): 30-37
  8. [8] Zhang Linghan, Yu Lin From Traditional Governance to Agile Governance: The Governance Paradigm Innovation of Generative Artificial Intelligence [J]. E-Government, 2023 (9): 2-13
  9. [9] Zhang Xiaheng Logical Deconstruction, Impact Analysis, and Policy Suggestions of ChatGPT [J]. Journal of Xinjiang Normal University: Philosophy and Social Sciences Edition, 2023, 44 (5): 113-123
  10. [10] Lu Yu, Yu Jinglei, Chen Penghe, etc Application and Prospect of Generative Artificial Intelligence in Education: Taking ChatGPT System as an Example [J]. China Distance Education, 2023, 43 (4): 24-31+51
  11. [11] Liu Yanhong The Three Major Security Risks and Legal Regulations of Generative Artificial Intelligence: A Case Study of ChatGPT [J]. Oriental Law, 2023 (4): 29-43

Funding

Education Science Planning Project of Qiannan Prefecture (2022B026); Qiannan Normal University for Nationalities 2023 School level Education Quality Improvement Project (2023xjg009)

About the authors

Zhan Fengzhu (1998-), male, Han ethnicity, from Huanggang, Hubei, is currently pursuing a master's degree in modern educational technology; Chen Kaiyuan (1997-), male, Miao ethnicity, from Pingtang, Guizhou. He is currently pursuing a master's degree in modern educational technology; Correspondence author: Liu Yan (1977-), male, Gelao ethnic group, from Duyun, Guizhou, professor, undergraduate, research direction: computer network, modern education technology.