Papers

5

Total Citations

244

H-Index

4

About

Yingwei Fan is a pioneering researcher at the intersection of soft robotics, biomedical optics, and intelligent surgical systems. His work focuses on developing novel robotic platforms and optical diagnostic tools for minimally invasive interventions, particularly in complex tubular environments and tumor treatment. Fan's most influential contribution is the worm-like soft robot (158 citations), a fully soft, bio-inspired device designed to navigate challenging tubular spaces such as pipelines and the human gastrointestinal tract, with potential applications in natural orifice transluminal endoscopic surgery. He has also made significant strides in laser ablation therapy for tumors, authoring a comprehensive state-of-the-art review (57 citations) and developing an intelligent optical diagnosis and treatment system that integrates automated image guidance with laser ablation. His additional work includes a surface-scanning device for intraoperative tumor identification and a robot-assisted optical coherence tomography system for automatic wide-field scanning. Through these innovations, Fan is advancing the precision and autonomy of surgical robots and optical diagnostics, with his research cited over 240 times, marking him as a rising leader in medical robotics and image-guided therapy.

Research Focus

Key Achievements

4
H-Index
5
Papers
244
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Worm-Like Soft Robot for Complicated Tubular Environments
158 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Tsinghua University, Beijing Institute of Technology, Beijing Radiation Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago