Xinliang Zhang
Sechenov University, Xidian University, Colorado School of Mines
Papers
4
Total Citations
85
H-Index
4
About
Xinliang Zhang is a pioneering researcher at the intersection of robotic surgery, optical computing, and human-machine interaction. His work primarily advances minimally invasive surgical robotics, where he has made significant contributions to optimizing spherical robot dimensions for medical applications and developing novel eye-based control modalities for robot-assisted object retrieval. Zhang's most impactful work, his 2022 review on robot-assisted minimally invasive breast surgery (52 citations), synthesizes recent evidence to demonstrate how telerobotic systems reduce postsurgical complications and trauma. He has also broken new ground in optical computing with his 2025 paper on a monolithically integrated asynchronous optical recurrent accelerator (17 citations), addressing critical energy and latency bottlenecks in electronic computing by shifting computational burdens to the optical domain. Zhang's dimensional optimization method for spherical medical robots (2013, 9 citations) provides a specialized framework for tailoring robotic designs to specific clinical requirements. His diverse portfolio—spanning clinical outcomes, hardware innovation, and user-centered design—positions him as a versatile engineer whose work directly impacts both surgical practice and next-generation computing architectures.
Research Focus
Key Achievements
Top Papers
- 1
- 2Monolithically integrated asynchronous optical recurrent accelerator17 citations · 2025
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