A Bibliometric and Visualization Analysis of Generative AI Research in China: Based on Literature from CNKI Database

In recent years, generative AI (GenAI) has attracted a wide range of attention from numerous researchers in China. To identify research hotspots and trends in the field of GenAI in China, this study conducts the bibliometric and visualization analysis of published studies on GenAI based on CNKI (China National Knowledge Infrastructure) Database. A total of 1094 GenAI-related articles were obtained from the CNKI database. The CiteSpace 6.3.R1 was used to perform the bibliometric and visualization analysis. Through co-words analysis and cluster analysis of keywords, the research topics and hotspots of GenAI could be summarized into three aspects, namely: Large Language Models (LLMs), the application of GenAI in some fields such as education, press & media, library & information science, medicine, finance, law, digital government, metaverse etc., and the challenges brought about by GenAI. Through timeline visualization analysis of keywords, the research trends of GenAI were discussed. The results provide a scientific reference for the research status and trends of GenAI in China.