Papers

18

Total Citations

541

H-Index

10

About

Cheng Yang is a pioneering robotics and biomedical engineering researcher whose work has fundamentally advanced the field of robot-assisted vascular interventional surgery. With a research focus spanning teleoperated surgical robotics, haptic feedback systems, and minimally invasive vascular procedures, Yang has consistently addressed one of medicine's most pressing challenges: protecting surgeons from radiation exposure and physical strain while improving the precision of endovascular procedures. Yang's most influential contributions include the design and clinical evaluation of novel remote-controlled vascular interventional robots that simultaneously manipulate both catheters and guidewires — a landmark advancement that garnered over 124 and 103 citations respectively for its design and first-in-human operation studies. Subsequent work refined these systems through multilevel operational safety strategies, surgeon skill-based control paradigms, and sophisticated haptic interfaces that preserve the intuitive tactile experience of experienced interventionalists. Beyond hardware innovation, Yang has explored cloud-based sensing evaluation, tremor signal filtering, and isomorphic master controllers — collectively demonstrating a holistic systems-engineering approach to surgical robotics. With cumulative citations exceeding 490 across ten papers, Yang's research has meaningfully shaped how the field envisions safer, more precise, and remotely operable vascular surgery for the future.

Research Focus

Key Achievements

10
H-Index
18
Papers
541
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
A cooperation of catheters and guidewires-based novel remote-controlled vascular interventional robot
124 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Beijing Institute of Technology, Ministry of Industry and Information Technology, Kagawa University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago