Papers
8
Total Citations
314
H-Index
7
About
Xing Wu is a materials scientist and engineer whose research sits at the forefront of flexible electronics, wearable sensing technologies, and biomimetic electronic skin (E-skin). With a career spanning nearly a decade of impactful publications, Wu has made significant contributions to the design and fabrication of graphene-based sensors, establishing foundational structure-property relationships that guide the development of next-generation strain and pressure devices. His 2017 paper on ultrafast dynamic pressure sensors using graphene hybrid structures (116 citations) demonstrated a practical pathway toward high-performance flexible electronic skin, while his 2019 review on graphene sensors for artificial intelligence applications (84 citations) has become an essential reference for researchers in smart wearables. Wu's work extends to temperature detection, human-robot interaction, and bioinspired tactile sensing, including cilia-inspired microstructures and skin-inspired hierarchical designs. More recently, he has addressed real-world durability challenges, developing waterproof, breathable, and self-cleaning sensor platforms suited for demanding environments. Collectively, Wu's research portfolio reflects a coherent vision: translating advanced nanomaterials into robust, intelligent sensing systems with transformative potential in robotics, prosthetics, and human-machine interfaces.
Research Focus
Key Achievements
Top Papers
- 1Ultrafast Dynamic Pressure Sensors Based on Graphene Hybrid Structure116 citations · 2017
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- 4Dual-Mode Sensor and Actuator to Learn Human-Hand Tracking and Grasping26 citations · 2019
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