Hailing Fu

Papers

Total Citations

306

H-Index

About

Hailing Fu is a leading researcher in the field of energy harvesting and self-powered sensing systems, with a particular focus on rotational and vibration-based energy conversion. His most-cited work, "Rotational energy harvesting for self-powered sensing" (2021, 306 citations), has become a foundational reference for developing autonomous sensors that operate without batteries, enabling applications in industrial monitoring, smart infrastructure, and the Internet of Things. Fu's major contributions include innovative designs for electromagnetic and piezoelectric harvesters that efficiently capture energy from rotational motion, as well as advanced power management circuits that optimize energy extraction. His research has significantly advanced the practical deployment of self-powered wireless sensor networks, reducing maintenance costs and environmental impact. Beyond his highly cited paper, Fu has published extensively on topics such as nonlinear energy harvesting, triboelectric nanogenerators, and hybrid energy systems. His work is widely recognized for bridging the gap between theoretical energy conversion principles and real-world engineering solutions, making him a key figure in the sustainable energy and sensing community.