Papers

7

Total Citations

188

H-Index

6

About

Yichun Liu is a pioneering researcher at the intersection of flexible electronics, optoelectronics, and bioinspired sensory systems. Their work focuses on developing intelligent, self-powered devices that mimic biological functions, with major contributions in artificial visual adaptation and tactile perception. Liu’s most-cited paper (74 citations) introduces a self-powered broadband opto-sensor using multilayer γ-InSe flakes that autonomously adjusts to light stimuli—a breakthrough for bionic vision in intelligent robots. Another highly influential work (68 citations) demonstrates an ultrasensitive flexible proximity sensor based on organic crystals, capable of detecting objects as small as an atomic force microscopy tip. Liu also advanced neuromorphic computing with an optoelectronic memristor that integrates bimodal sensing, memory, and processing (2025), and developed a self-powered artificial tactile system with self-protection using tellurene threshold switching (2025). With over 180 cumulative citations across these studies, Liu’s innovations in conformal sensors and cooperative genetic optimization for robotics are shaping next-generation adaptive systems for AI and human-machine interaction.

Research Focus

Key Achievements

6
H-Index
7
Papers
188
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Self-powered and broadband opto-sensor with bionic visual adaptation function based on multilayer γ-InSe flakes
74 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Northeast Normal University, National Taiwan Normal University, Nanchang University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago