Papers
5
Total Citations
106
H-Index
4
About
Zong-Hong Lin is a pioneering researcher at the intersection of triboelectric nanogenerators, self-powered sensing systems, and robotics. His work focuses on developing innovative nanosensors that harvest mechanical or thermal energy to operate autonomously, eliminating the need for external power sources — a critical advancement for real-world deployment in environmental monitoring and security applications. Lin's most celebrated contribution, a triboelectric nanosensor integrated with a robotic platform for chemical detection (2023, 68 citations), demonstrated that hazardous chemicals could be identified rapidly on-site with exceptional selectivity and sensitivity. Building on this foundation, he has extended self-powered sensing to heavy metal ion detection, thermosensitive material identification, and vibration localization, consistently merging triboelectric technology with robotic and IoT frameworks. His 2024 work on wireless heavy metal detection using a thermoelectric generator-powered robotic system exemplifies his vision of fully autonomous, connected sensing platforms. With a growing citation record and publications spanning multiple years, Lin's research is reshaping how scientists approach portable, sustainable detection technologies. His work offers students and researchers a compelling model for integrating nanoscale energy harvesting with intelligent robotic systems to address pressing environmental and public health challenges.
Research Focus
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