Generative artificial intelligence (Gen AI) represents a pivotal branch within AI development, demonstrating remarkable advancements in content generation and emerging as a new form of productive forces in the contemporary era. To gain a comprehensive understanding of the evolutionary trajectory and research progress within this field, a quantitative analysis was conducted on literature concerning Gen AI published between 2017and 2024within the CNKI and Web of Science(WOS) core databases. Using CiteSpace software, this study generated knowledge graphs including keyword networks and keyword chronograms and other knowledge maps. Visualisation, statistical analysis, and content analysis were conducted across research status, hotspots, publication volume, national distribution, and research institutions. Findings indicate that research on Gen AI entered an explosive phase in 2022, primarily focusing on ethical risks, education, and governance. Future research trajectories will evolve with technological advancements and policy shifts, progressing from theoretical exploration towards practical implementation.

Chenhong Liu, Zheng He. Research Frontiers and Trends of Generative Artificial Intelligence Research—Based on CiteSpace Knowledge Graph Measurement Analysis. Academic Journal of Computing & Information Science (2026), Vol. 9, Issue 8: 50-57. https://doi.org/10.25236/AJCIS.2026.090807.

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