CN

Jiyu WangWANG JIYU

Other

Professional Title:Other
Gender:Male
Status:Employed
Department:强电磁技术全国重点实验室
Education Level:Postgraduate (Doctoral)
Degree:Doctoral Degree in Engineering

MORE

Paper Publications

Current position: Home > Scientific Research > Paper Publications

Wang J, Ding W, Pan L, et al. Self-powered wind sensor system for detecting wind speed and direction based on a triboelectric nanogenerator[J]. ACS Nano, 2018, 12(4): 3954-3963..
Wang J, Wu Z, Pan L, et al. Direct-Current Rotary-Tubular Triboelectric Nanogenerators Based on Liquid-Dielectrics Contact for Sustainable Energy Harvesting and Chemical Composition Analysis[J]. ACS Nano, 2019, 13(2): 2587-2598..
Wang J, Pan L, Guo H, et al. Rational Structure Optimized Hybrid Nanogenerator for Highly Efficient Water Wave Energy Harvesting[J] Advanced Energy Materials, 2019, 9(8): 1802892. .
Li J, Wang Z, Zhao Z, Wang J* et al. TriboGait: A deep learning enabled triboelectric gait sensor system for human activity recognition and individual identification[C]Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. 2021: 643-648..
Wang H, Wang J*, Z. L. Wang* et al. Detrapping Current Measurement System Driven by Triboelectric Nanogenerators for Mapping Electron Trap States in Dielectrics[J] Advanced Functional Materials, 2021: 2103463. .
Yong S, Wang J*, Z. L. Wang* et al. Auto‐Switching Self‐Powered System for Efficient Broad‐Band Wind Energy Harvesting Based on Dual‐Rotation Shaft Triboelectric Nanogenerator[J]. Advanced Energy Materials, 2021: 2101194. .
Song Z, Yin J, Wang Z, Wang J*, Ding W* et al. A flexible triboelectric tactile sensor for simultaneous material and texture recognition[J]. Nano Energy, 2022, 93: 106798. .
Luo H, Wang H, Wang J*, et al. In Situ Nanofluid Dispersion Monitoring by Liquid–Solid Triboelectric Nanogenerator Based on Tuning the Structure of the Electric Double Layer[J]. Advanced Functional Materials, 2022: 2200862. .
Zhao H, Shu M, Ai Z, Wang J*, Ding W* et al. A Highly Sensitive Triboelectric Vibration Sensor for Machinery Condition Monitoring[J]. Advanced Energy Materials, 2022: 2201132. .
Wu H, Wang J*, Wu Z, et al. Multi-Parameter Optimized Triboelectric Nanogenerator Based Self-Powered Sensor Network for Broadband Aeolian Vibration Online-Monitoring of Transmission Lines[J]. Advanced Energy Materials, 2022, 12(13): 2103654. .

total18 1/2

firstpreviousnext last Page

GET MORE