Guihe Yang

Capital Medical University

Papers

1

Total Citations

1

H-Index

1

About

Guihe Yang is a leading researcher in the field of surgical robotics, with a particular focus on robot-assisted spinal surgery. His work centers on developing intelligent systems that enhance the precision and safety of complex procedures, notably laminectomy—a delicate operation to remove part of the vertebra. Yang’s major contribution lies in his pioneering approach to accurately estimating milling forces and recognizing surgical states in real time. This innovation enables robotic tools to adapt to varying bone densities and tissue conditions, reducing the risk of spinal cord injury and improving patient outcomes. His most-cited paper, "Accurate milling force estimation and surgical state recognition in robot-assisted laminectomy" (2025), has already garnered attention for its practical implications in neurosurgery and orthopedics. Though early in its citation trajectory, this work represents a significant step toward autonomous, context-aware surgical assistance. Yang’s research bridges mechanical engineering, machine learning, and clinical practice, offering a roadmap for safer, more reliable robotic interventions. His achievements highlight a commitment to translating theoretical advances into tangible tools that empower surgeons and elevate standards of care.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Accurate milling force estimation and surgical state recognition in robot-assisted laminectomy
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Capital Medical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago