Yanjie Fu

Arizona State University

Papers

1

Total Citations

8

H-Index

1

About

Dr. Yanjie Fu is a leading researcher at the intersection of Geospatial Artificial Intelligence (GeoAI) and human dynamics, with a focus on how AI can decode and predict human behavior in geographic contexts. His most-cited work, "Human-centered GeoAI foundation models: where GeoAI meets human dynamics" (2025, 8 citations), pioneers the integration of human mobility patterns into foundational AI models, offering transformative tools for urban planning, transportation, and disaster response. By bridging geospatial technologies with deep learning, Dr. Fu’s contributions enable more accurate modeling of complex human-environment interactions, advancing both theoretical frameworks and practical applications. His research has been recognized for its potential to reshape geospatial science, earning citations from interdisciplinary fields. Dr. Fu’s work stands out for its human-centered approach, emphasizing ethical and socially aware AI systems. As a rising voice in GeoAI, he continues to push boundaries, making his profile essential reading for students and researchers exploring the future of intelligent, location-aware technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Human-centered GeoAI foundation models: where GeoAI meets human dynamics
8 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Arizona State University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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