Papers
62
Total Citations
2,590
H-Index
27
About
Geng Yang is a pioneering researcher at the intersection of wearable sensing technology, robotics, and intelligent healthcare systems. His work spans three deeply interconnected domains: flexible and skin-like sensors, human-robot interaction, and Healthcare 4.0 — a field he has helped define and popularize through influential frameworks and special journal sections. Yang's most cited contribution, a 2022 study on multifunctional flexible humidity sensors (300 citations), exemplifies his drive to push wearable electronics into real-world clinical and IoT applications. His broader vision for next-generation healthcare is captured in his highly cited work on homecare robotic systems (203 citations) and the conceptual framing of Healthcare 4.0 (153 citations), which traces the convergence of automation, biomedical engineering, and health informatics. Practically, Yang has translated these ideas into systems like an IoT-enabled stroke rehabilitation armband (187 citations) and a teleoperated robot deployed in COVID-19 isolation wards (114 citations). His more recent machine learning-enabled tactile sensor research (147 citations) reflects his evolving focus on intelligence-driven sensor design. Collectively, with over 1,500 citations across his top works, Yang stands as a transformative figure in smart healthcare and collaborative robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies203 citations · 2020
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- 5Machine Learning‐Enabled Tactile Sensor Design for Dynamic Touch Decoding147 citations · 2023
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- 7cGAN Based Facial Expression Recognition for Human-Robot Interaction111 citations · 2019
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