About

Chengkuo Lee is a pioneering researcher at the forefront of energy harvesting, wearable electronics, and human-machine interaction technologies. His work centers on triboelectric nanogenerators (TENGs), self-powered sensing systems, soft robotics, and the convergence of artificial intelligence with the Internet of Things (AIoT). Lee has made transformative contributions to the design of flexible, self-powered sensors capable of capturing motion, tactile feedback, and physiological data without external power sources — a breakthrough with profound implications for healthcare monitoring, robotics, and smart systems. Among his most influential contributions are smart soft-robotic gripper systems enabled by TENG sensors, wearable patches for 3D motion control, and gait-analysis platforms for IoT-based healthcare, collectively accumulating thousands of citations. His visionary 2020 review on wearable electronics and photonics (639 citations) and his work bridging 5G, digital twins, and AI-enabled sensing (437 citations) have helped define the research agenda for next-generation connected devices. Lee has also advanced cost-effective exoskeleton manipulators and virtual shopping applications, demonstrating the real-world versatility of his innovations. His body of work positions him as a defining voice in the evolution toward fully integrated, intelligent, self-sustained sensing ecosystems.

Research Focus

Key Achievements

31
H-Index
49
Papers
5,576
Total Citations
114
Avg Citations/Paper
🏆 Most Cited Paper
Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications
657 citations · 2020
📈 Most Prolific Year: 2021 (12 Papers)
🤝 Key Collaborators: 168
🏛 Institutions: National University of Singapore, Suzhou Research Institute, Institute of Microelectronics, University of Electronic Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago