Junqiao Zhang

University of Science and Technology Liaoning

Papers

2

Total Citations

23

H-Index

2

About

Dr. Junqiao Zhang is a rising scholar whose work bridges cognitive psychology and complex systems to decode the mechanisms of collective behavior. Her research focuses on how local interactions among individuals—whether in biological groups or artificial systems—give rise to emergent, adaptive group dynamics. In her highly cited 2023 review, Zhang systematically connects cognitive principles to physical action, offering a unified framework that has already garnered 18 citations, establishing her as a key voice in the field. Her most recent 2025 paper introduces a novel potential field mechanism to model collective behavior in biological systems, addressing the limitations of traditional bottom-up and top-down approaches. This work demonstrates how groups can dynamically adapt to changing environments through simple, local rules. By integrating insights from cognitive science, physics, and biology, Zhang is laying the groundwork for more accurate simulations of swarm intelligence, crowd dynamics, and animal group behavior. Her contributions are particularly valuable for researchers in robotics, artificial life, and social physics, offering a fresh perspective on how collective intelligence emerges from individual interactions.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A review on collective behavior modeling and simulation: building a link between cognitive psychology and physical action
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Science and Technology Liaoning

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago