Papers
2
Total Citations
7
H-Index
2
About
Dr. Zhiming Fang is a rising scholar in the field of crowd dynamics and pedestrian safety, with a particular focus on how individuals respond to perceived threats in dense environments. His most cited work, "Nonreciprocal interactions in crowd dynamics: Investigating the impact of moving threats on pedestrian speed preferences" (2024, 5 citations), introduces a novel framework for understanding asymmetric behavioral responses—where pedestrians react differently to threats than to neutral agents—challenging traditional models of crowd flow. This research has immediate implications for evacuation planning, public safety design, and the modeling of panic scenarios. Earlier in his career, Fang contributed to robotics with "Smooth Sliding Mode Control for Trajectory Tracking of Greenhouse Spraying Mobile Robot" (2013, 2 citations), addressing control challenges in agricultural automation. Though his citation counts are modest, his work on nonreciprocal interactions represents a significant conceptual advance in behavioral dynamics, positioning him as an emerging voice in the intersection of physics, psychology, and engineering. Fang’s research is particularly relevant for students and researchers interested in complex systems, human behavior modeling, and the application of control theory to real-world safety challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2