Bach Xuan Tran
Papers
4
Total Citations
618
H-Index
4
About
Bach Xuan Tran is a prolific researcher whose work sits at the intersection of artificial intelligence, medicine, and global health informatics. Best known for his extensive bibliometric and landscape analyses, Tran has made significant contributions to understanding how AI technologies are being applied across diverse medical domains, from general health systems to specialized fields such as cerebrovascular disease, cardiology, and diabetes management. His most influential work, "Global Evolution of Research in Artificial Intelligence in Health and Medicine" (2019), has garnered an impressive 458 citations, establishing him as a leading voice in mapping the historical and geographic trajectory of AI adoption in healthcare. By synthesizing tens of thousands of publications, Tran has provided researchers and clinicians with essential roadmaps for navigating a rapidly evolving field. His subsequent studies applying Latent Dirichlet Allocation modeling and targeted bibliometric analyses further demonstrate his methodological versatility and commitment to evidence-based synthesis. Tran's research is particularly valuable for students and policymakers seeking structured overviews of where AI research is thriving, where gaps remain, and how emerging technologies might be prioritized to address pressing global health challenges. His cumulative citation record reflects both the timeliness and enduring relevance of his scholarly contributions.
Research Focus
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