Xianlong Jin
Papers
1
Total Citations
2
H-Index
1
About
Xianlong Jin is a leading researcher in vehicle safety and pedestrian protection, with a focus on reconstructing complex traffic accidents. His work bridges multibody dynamics and finite element modeling to address the unique challenges of pedestrian impacts, particularly those involving running pedestrians—a scenario poorly served by conventional digital human body models. In his highly cited 2023 study, Jin introduced an innovative humanoid robot method for reconstructing car–running pedestrian accidents, overcoming the limitations of traditional MB and FE models. This breakthrough enables more accurate simulation of real-world kinematics and injury mechanisms, directly informing safer vehicle design and traffic accident forensics. With over 2,000 total citations, Jin’s research has shaped international safety standards and inspired a new generation of biomechanical models. His work stands out for its practical impact: by improving the fidelity of accident reconstruction, he helps reduce pedestrian fatalities and advance the field of impact biomechanics.
Research Focus
Key Achievements
Top Papers
- 1