Yingshuo Sun
Papers
1
Total Citations
7
H-Index
1
About
Dr. Yingshuo Sun is a pioneering researcher at the intersection of artificial intelligence and transplant medicine, with a primary focus on AI applications in solid organ transplantation (SOT). His most cited work, a 2025 visualization analysis that has garnered 7 citations, systematically maps the knowledge domain and frontier trends of AI in SOT, identifying key contributions from leading institutions such as the University of Toronto and University of Pittsburgh, and prominent figures like Benedetti E and Oberholzer J. Dr. Sun’s research demonstrates how robotic-assisted surgery enhances precision and reduces complications, while AI-driven predictive models improve donor-recipient matching and post-transplant outcomes. His bibliometric approach provides a comprehensive roadmap for future innovations, highlighting emerging clusters in machine learning, deep learning, and natural language processing for transplant optimization. By synthesizing global research trends, Dr. Sun has established himself as a key synthesizer in this rapidly expanding field, offering critical insights that guide both clinical practice and academic inquiry. His work not only advances the technical frontiers of transplant medicine but also underscores the transformative potential of AI in improving patient survival and quality of life.
Research Focus
Key Achievements
Top Papers
- 1