Yawen Tai
Papers
1
Total Citations
2
H-Index
1
About
Yawen Tai is a forward-looking researcher in the field of artificial intelligence, with a particular focus on technology trend analysis and innovation mapping. Their most cited work, "Analysis of technology hotspots in artificial intelligence field based on Patent Map" (2022), makes a significant contribution by combining literature review with patent map methodologies to systematically identify and visualize emerging research hotspots in AI. This approach provides a data-driven framework for understanding how artificial intelligence is evolving as a key driver of scientific progress and industrial transformation. By bridging patent analytics with AI research, Tai offers valuable tools for policymakers, R&D strategists, and fellow researchers seeking to navigate the rapidly shifting landscape of AI technologies. While their citation count is still growing—reflecting the recent publication of their work—the foundational nature of their methodology positions them as an emerging voice in technology foresight. Tai’s research is particularly relevant for students and professionals interested in the intersection of bibliometrics, intellectual property analysis, and the strategic deployment of AI across industries.
Research Focus
Key Achievements
Top Papers
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