Yun He

Papers

Total Citations

H-Index

About

Yun He is a pioneering researcher in the field of stretchable bioelectronics and neuromorphic computing. His work focuses on developing flexible, skin-like electronic devices that mimic biological synapses, with a particular emphasis on integrating photonic and electric signal processing. He is best known for his groundbreaking 2025 paper on a stretchable synaptic device with photonic-electric dual mode, designed specifically for sign language recognition. This innovative device, built on a carbon nanotube/polydimethylsiloxane substrate with high-crystallinity P3HT nanofibers, represents a major contribution to wearable human-machine interfaces. By enabling dual-mode signal processing, He’s work bridges the gap between soft electronics and artificial neural networks, offering new possibilities for real-time gesture translation and assistive technologies. Though his most-cited paper has garnered 1 citation to date, its novelty and potential impact on the fields of flexible electronics and neuromorphic engineering are significant. He is also recognized for his expertise in solvent engineering and self-assembly techniques, which have advanced the fabrication of high-performance organic semiconductor channels. His research continues to push the boundaries of what is possible in stretchable electronics and intelligent sensory systems.