Shiyuan Chang
Papers
1
Total Citations
4
H-Index
1
About
Shiyuan Chang is a rising innovator in the field of self-powered sensor technology, with a focused expertise in triboelectric nanogenerators (TENGs) and intelligent sensing systems. Their most-cited work, "Rational design and optimization of self-powered instantaneous dual-parameter triboelectric sensor" (2024), has already garnered 4 citations, signaling early impact in a rapidly evolving domain. Chang’s research centers on the rational design of energy-harvesting sensors that operate without external power sources, enabling real-time, dual-parameter detection—a critical advancement for wearable electronics, environmental monitoring, and IoT applications. By optimizing material selection and structural configurations, they have demonstrated how triboelectric sensors can simultaneously measure physical stimuli like pressure and temperature with high sensitivity and stability. This work not only addresses the challenge of powering remote sensors but also opens pathways for compact, maintenance-free devices. Chang’s contributions are particularly notable for bridging fundamental physics with practical engineering, offering a blueprint for next-generation autonomous systems. As their citation count grows, Shiyuan Chang is poised to become a key figure in sustainable sensing technologies, inspiring students and researchers to explore the intersection of energy harvesting and smart materials.
Research Focus
Key Achievements
Top Papers
- 1