Papers

3

Total Citations

10

H-Index

2

About

Shen Yang is a pioneering researcher at the intersection of robotic surgery and soft robotics, whose work is shaping the future of both clinical practice and autonomous systems. In the medical domain, Yang has established a framework for evaluating the competencies of specialist nurses in robot-assisted surgery (RAS), particularly with the Da Vinci Surgical System (DVSS). This Delphi study, already garnering 5 citations, addresses a critical gap in surgical team training as RAS becomes more prevalent, ensuring that operating room nurses are equipped with the specialized skills needed for these high-precision procedures. Concurrently, Yang is advancing the field of magnetically actuated soft robotics, developing novel bistable mechanisms that enable multimodal locomotion—including snap-through jumping and grasping—in millimeter-scale robots. With 4 citations, this work demonstrates significant potential for environmental exploration and minimally invasive medical applications, overcoming traditional design constraints. Yang’s contributions are notable for bridging rigorous clinical competency standards with cutting-edge soft robotic design, offering practical solutions for both modern surgery and unstructured environment navigation.

Research Focus

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Development of a core competency evaluation index system for specialist nurses in robot-assisted surgery: a Delphi study
5 citations · 2025
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Nantong University, South China University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago