Zhangjie Fu

Jinan University, Nanjing University of Information Science and Technology

Papers

Total Citations

185

H-Index

About

Zhangjie Fu is a leading researcher at the intersection of unmanned aerial vehicle (UAV) systems, intelligent sensing, and cybersecurity. His work primarily focuses on advancing autonomous navigation and cooperative communication for multi-UAV networks, with a strong emphasis on real-world applications such as environmental monitoring and disaster response. Fu’s most influential contribution is a heuristic evolutionary algorithm for UAV path planning (89 citations), which significantly improved the accuracy and efficiency of data collection in complex, dynamic environments. He further extended this work to address pollution source localization using multi-UAV cooperative communication (71 citations), demonstrating how mobile robots can safely and effectively detect hazardous gas leaks in chemical plants—a critical advancement for industrial safety. More recently, Fu has pioneered research into the security of drone vision sensors, empirically studying remote attacks that exploit vulnerabilities in autonomous vehicle cameras (25 citations). This work highlights the growing importance of cyber-physical security in robotics. Through these contributions, Fu has established himself as a key figure in making UAV systems smarter, safer, and more resilient.