Papers
1
Total Citations
8
H-Index
1
About
Huan Jin is a researcher focused on computational intelligence for disaster response and public safety. Their most cited work, "Intelligent Evacuation Route Planning Algorithm Based on Maximum Flow" (2022, 8 citations), addresses a critical challenge in emergency management: rapidly generating efficient evacuation routes during natural disasters, human-caused crises, and epidemics like COVID-19. By applying maximum flow algorithms to community-scale evacuation planning, Jin’s research provides a practical framework for optimizing victim movement under time constraints and dynamic hazard conditions. This contribution bridges theoretical graph theory with real-world emergency logistics, offering decision-support tools for first responders and urban planners. While early in their citation trajectory, Jin’s work demonstrates clear relevance to pressing global challenges, particularly the intersection of AI-driven route optimization and public safety. Their research holds promise for reducing casualties and improving response times in future crises, making it a valuable reference for scholars in computational emergency management and humanitarian engineering.
Research Focus
Key Achievements
Top Papers
- 1Intelligent Evacuation Route Planning Algorithm Based on Maximum Flow8 citations · 2022