Papers

22

Total Citations

408

H-Index

12

About

Changyan He is a pioneering researcher in the field of robot-assisted retinal microsurgery, with work spanning intelligent control systems, surgical safety mechanisms, and human-robot interaction. His research addresses one of medicine's most technically demanding challenges: performing precise surgical interventions within the delicate, constrained environment of the human eye. He has made substantial contributions to developing master-slave robotic systems and active interventional control frameworks, including an RNN-based system capable of providing intelligent, real-time surgical guidance rather than merely passive tremor dampening. A recurring theme across his work is surgical safety — particularly the critical problem of scleral force management, where he developed adaptive control strategies, real-time force feedback systems, and early warning mechanisms to prevent tissue damage during tool insertion. His development of an automatic light pipe actuation system also advances bimanual robotic surgery by freeing surgeons' non-dominant hands for more precise work. With over 300 cumulative citations across his top publications, He's research has garnered significant recognition from the surgical robotics community. His integration of machine learning, force sensing, and flexible instrument tracking reflects a comprehensive and forward-thinking approach to making robotic retinal surgery safer and more accessible to surgeons worldwide.

Research Focus

Key Achievements

12
H-Index
22
Papers
408
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Research and Realization of a Master-Slave Robotic System for Retinal Vascular Bypass Surgery
49 citations · 2018
📈 Most Prolific Year: 2019 (9 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: Beihang University, Johns Hopkins University, University of Toronto, Hospital for Sick Children

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago