Papers
46
Total Citations
7,866
H-Index
37
About
Xiaodong Chen is a pioneering researcher at the forefront of stretchable electronics, soft robotics, and neuromorphic sensing systems. His work spans the design of advanced functional materials — including ionic hydrogels, graphene-based sensors, and auxetic metamaterials — and their integration into next-generation wearable and bioinspired devices. Chen's landmark 2018 paper on highly stretchable ionic conductive hydrogels (931 citations) established a new benchmark for balancing mechanical resilience with electronic performance, while his influential review on stretchable conductor architectures (556 citations) has become essential reading in the field. Perhaps most distinctively, Chen has pioneered artificial sensory systems that mimic biological perception — developing artificial sensory neurons capable of tactile learning (412 citations), visual-haptic fusion (303 citations), and even sensory memory (332 citations). His 2020 work on gesture recognition integrating stretchable sensors with bioinspired neural architectures (535 citations) exemplifies his unique ability to bridge materials science with neuroscience-inspired computing. With multiple papers exceeding 300–900 citations, Chen's research has profoundly shaped how scientists conceive of electronic skin, soft robotics sensing, and machine perception, establishing him as one of the most impactful voices in intelligent flexible electronics today.
Research Focus
Key Achievements
Top Papers
- 1
- 2Materials and structural designs of stretchable conductors556 citations · 2019
- 3
- 4
- 5Graphene-based wearable piezoresistive physical sensors471 citations · 2020
- 6Artificial Skin Perception444 citations · 2020
- 7An Artificial Sensory Neuron with Tactile Perceptual Learning412 citations · 2018
- 8Artificial Sensory Memory332 citations · 2019
- 9Sensing in Soft Robotics311 citations · 2023
- 10An artificial sensory neuron with visual-haptic fusion303 citations · 2020