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

6
H-Index
8
Papers
994
Total Citations
124
Avg Citations/Paper
🏆 Most Cited Paper
Skin-inspired textile-based tactile sensors enable multifunctional sensing of wearables and soft robots
277 citations · 2022
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Michigan State University, Australian National University, Nanyang Technological University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago