Tian Jinhui
Papers
1
Total Citations
1
H-Index
1
About
Tian Jinhui is a researcher whose work sits at the intersection of artificial intelligence and clinical medicine, with a particular focus on bibliometric analysis and evidence synthesis. Their most cited study, “A Bibliometric Analysis of the Global Research Output on Artificial Intelligence Clinical Research” (2022), provides a systematic mapping of the global landscape of AI-driven randomized controlled trials (RCTs) in healthcare. By mining PubMed for AI-related RCTs, Tian’s work offers critical insights into research trends, gaps, and opportunities—especially for Chinese scholars seeking to advance AI applications in medicine. Although early in its citation trajectory, this paper establishes a foundational framework for understanding how AI is being integrated into rigorous clinical trial design. Tian’s contributions are notable for bridging computational methods with clinical evaluation, helping to guide future research directions in an increasingly important field. Their work underscores the growing need for transparent, data-driven assessments of AI’s real-world impact in healthcare, making Tian a valuable voice for students and researchers navigating the intersection of technology and evidence-based medicine.
Research Focus
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Top Papers
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