Papers
5
Total Citations
238
H-Index
5
About
Junhao Chu is a leading researcher in flexible electronics and biomimetic sensing, with a focus on graphene-based strain and pressure sensors for artificial intelligence and human-robot interaction. His major contributions include the development of ultrafast dynamic pressure sensors using graphene hybrid structures, achieving 116 citations for his 2017 work, and establishing structure-property relationships in graphene sensors for wearable AI applications, cited 84 times. Chu pioneered dual-mode sensor-actuator systems for human-hand tracking and grasping, integrating sensory arrays with actuators to detect subtle pressure changes. His 2023 skin-inspired hierarchical structure sensor enables ultrafast active human-robot interaction, addressing narrow working range limitations. More recently, he has advanced self-powered sensing with ultra-sensitive flexible piezoelectric nanogenerators based on P(VDF-TrFE) nanofibers. With over 238 total citations across his most-cited works, Chu's research bridges materials science, mechanical engineering, and AI, creating foundational technologies for smart personal electronics and robotic systems. His work is particularly notable for enabling real-time, precise pressure detection in flexible formats, positioning him as a key innovator in next-generation wearable and interactive devices.
Research Focus
Key Achievements
Top Papers
- 1Ultrafast Dynamic Pressure Sensors Based on Graphene Hybrid Structure116 citations · 2017
- 2
- 3Dual-Mode Sensor and Actuator to Learn Human-Hand Tracking and Grasping26 citations · 2019
- 4
- 5