Ning Kang

Hunan University

Papers

1

Total Citations

8

H-Index

1

About

Ning Kang is a researcher specializing in biomechanics and surgical simulation, with a particular focus on the mechanical interactions between surgical tools and biological tissues. Their most-cited work, "Force prediction and analysis in surgical sawing of composite bone involving multi-tooth reciprocating and heterogeneous pore model" (2022, 8 citations), introduces a novel computational framework for predicting cutting forces during orthopedic procedures. This study is notable for its development of a heterogeneous pore model that accounts for the complex, porous structure of bone, offering a more realistic simulation of sawing dynamics than traditional homogeneous models. By integrating multi-tooth reciprocating motion, Kang’s research provides critical insights for improving surgical precision and reducing tissue damage, with direct implications for designing safer surgical tools and training simulators. While still early in their career, Kang’s work bridges mechanical engineering and clinical practice, laying a foundation for advanced haptic feedback systems in robotic-assisted surgery. Their contributions are increasingly cited in studies on bone machining and surgical planning, marking them as an emerging voice in the field of computational biomechanics.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Force prediction and analysis in surgical sawing of composite bone involving multi-tooth reciprocating and heterogeneous pore model
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Hunan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago