Chunnan Wang
Papers
5
Total Citations
120
H-Index
5
About
Chunnan Wang is a pioneering researcher at the intersection of self-powered systems, flexible electronics, and intelligent trajectory prediction. Her work has fundamentally advanced triboelectric nanogenerators (TENGs) for self-powered technology, as detailed in her highly cited 2021 paper (41 citations), which explores converting mechanical energy into electrical energy for next-generation autonomous devices. She has also made significant contributions to flexible pressure sensors, with her 2024 review (19 citations) and 2022 study on bacterial cellulose and silver nanowire sensors (14 citations) demonstrating ultralight, highly sensitive designs that push the boundaries of wearable electronics. In the domain of artificial intelligence, Wang introduced ATPFL (2022, 41 citations), an automatic trajectory prediction model under federated learning, addressing critical challenges in privacy-preserving, user-friendly design for robotics and computer vision. Her 2023 work on trajectory anomaly detection further refines predictive accuracy. With over 120 total citations across these key publications, Wang’s interdisciplinary approach—bridging materials science, energy harvesting, and machine learning—positions her as a leading voice in creating intelligent, self-sustaining systems. Her research not only advances fundamental science but also promises transformative applications in healthcare, environmental monitoring, and autonomous navigation.
Research Focus
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