Papers
1
Total Citations
7
H-Index
1
About
Dr. Zikang Yan is a pioneering researcher at the intersection of artificial intelligence and transplant medicine. His work centers on leveraging computational methods to advance solid organ transplantation (SOT), with a particular focus on robotic-assisted surgical techniques and data-driven clinical decision-making. Dr. Yan’s most cited study, “Knowledge domain and frontier trends of artificial intelligence applied in solid organ transplantation: A visualization analysis” (2025, 7 citations), provides a comprehensive bibliometric mapping of this emerging field. The paper identifies leading global contributors—including the University of Toronto and University of Pittsburgh—and highlights how AI enhances surgical precision, reduces complications, and optimizes organ allocation. By systematically charting research hotspots and collaboration networks, Dr. Yan has established a foundational roadmap for future AI-integrated transplant innovations. His work not only synthesizes current knowledge but also pinpoints critical gaps, guiding researchers toward high-impact areas such as predictive modeling and robotic surgery. With growing recognition for his ability to bridge computer science and clinical practice, Dr. Yan is shaping the next generation of smart, data-driven transplant care.
Research Focus
Key Achievements
Top Papers
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