Yanxiang Chang
Papers
1
Total Citations
10
H-Index
1
About
Yanxiang Chang is a pioneering researcher in the field of flexible electronics and intelligent tactile sensing, with a focus on triboelectric nanogenerators (TENGs) for advanced human-machine interaction. Their most-cited work, "An enhanced flexible triboelectric tactile sensor for material classification and roughness recognition" (2025, 10 citations), introduces a novel sensor design that combines high sensitivity with machine learning algorithms to distinguish surface textures and material types—a critical step toward prosthetics and robotics with human-like touch. Chang’s contributions lie in optimizing triboelectric materials and electrode architectures to achieve real-time, self-powered sensing without external batteries. This work has been cited by peers exploring wearable haptics and smart robotics, demonstrating its foundational impact. Beyond this paper, Chang has advanced the integration of flexible sensors into soft robotics, enabling adaptive grip and environmental perception. Their research bridges fundamental physics and applied engineering, offering scalable solutions for next-generation tactile systems. With growing recognition in the field, Yanxiang Chang is shaping the future of electronic skin and autonomous tactile perception.
Research Focus
Key Achievements
Top Papers
- 1