Qisen Chen
Papers
1
Total Citations
41
H-Index
1
About
Qisen Chen is a researcher specializing in biomechanics and surgical simulation, with a particular focus on the mechanical interactions between surgical tools and cortical bone. His most notable contribution is the development of a cortical bone milling force model based on an orthogonal cutting distribution method, published in 2020. This work has garnered 41 citations, reflecting its significance in advancing the understanding of bone cutting dynamics for orthopedic and neurosurgical applications. By providing a more accurate predictive framework for milling forces, Chen's research directly supports the design of safer, more efficient surgical robots and haptic feedback systems. His work bridges theoretical mechanics with practical surgical needs, offering valuable insights for both engineers and clinicians. Chen's contributions are particularly impactful in the emerging field of computer-assisted surgery, where precise force modeling is critical for minimizing tissue damage and improving patient outcomes. His research continues to influence the development of simulation-based training tools and robotic-assisted surgical systems.
Research Focus
Key Achievements
Top Papers
- 1