Papers
8
Total Citations
994
H-Index
6
About
Yu-Hui Fang is a pioneering researcher at the intersection of soft robotics, energy harvesting, and smart materials. Their work has fundamentally advanced how we design functional systems that are both adaptive and self-powered. Fang is best known for developing skin-inspired textile-based tactile sensors, a breakthrough that enables multifunctional sensing for wearables and soft robots—a paper that has garnered 277 citations. They have also made seminal contributions to bistable structures for advanced functional systems (250 citations) and hybrid energy-harvesting systems based on triboelectric nanogenerators (202 citations), demonstrating how mechanical instability can be harnessed for energy capture and control. Fang’s worm-inspired soft robots, designed for adaptable pipeline and tunnel inspection (102 citations), showcase their commitment to real-world applications in infrastructure maintenance. Additionally, their work on multifunctional metamaterials for simultaneous energy harvesting and vibration control (85 citations) has opened new avenues for smart structures and biointegrated electronics. With over 900 total citations across their most-cited works, Fang’s research is not only highly cited but also deeply influential, bridging fundamental mechanics with practical, human-centric technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Bistable Structures for Advanced Functional Systems250 citations · 2021
- 3Hybrid Energy-Harvesting Systems Based on Triboelectric Nanogenerators202 citations · 2021
- 4Worm‐Inspired Soft Robots Enable Adaptable Pipeline and Tunnel Inspection102 citations · 2021
- 5Multifunctional Metamaterials for Energy Harvesting and Vibration Control85 citations · 2021
- 6
- 7A New Principle Toward Robust Matching in Human-like Stereovision4 citations · 2023
- 8A New Principle toward Robust Matching in Human-like Stereovision3 citations · 2023