Papers

5

Total Citations

93

H-Index

5

About

Yuxiang Qin is a leading researcher in bioinspired flexible electronics and neuromorphic sensory systems, with a focus on developing artificial tactile sensors that mimic human skin’s perceptual and pain-sensing capabilities. Their major contributions include the design of a bio-inspired tactile nociceptor—integrating wearable sensing paper with a VO₂ threshold-switching memristor—that replicates key pain responses such as threshold, relaxation, and sensitization phenomena like allodynia and hyperalgesia. This work, cited 49 times, demonstrates high sensitivity and broad sensing range for monitoring human movements. Qin also pioneered a low-power, flexible artificial sensory neuron capable of tactile perceptual and associative learning, achieving a pattern recognition accuracy of ~89.81% in neuromorphic networks. Additionally, they developed a hierarchical arete architecture-enabled iontronic pressure sensor with high linearity and sensitivity, and a tentacled snakes-inspired flexible pressure sensor for pain sensation monitoring. Their research, with over 90 total citations, advances electronic skin technology for applications in smart medical care, human-computer interaction, and prosthetics, positioning Qin as a key innovator in merging bioinspiration with neuromorphic computing for next-generation wearable sensors.

Research Focus

Key Achievements

5
H-Index
5
Papers
93
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
A bio-inspired tactile nociceptor constructed by integrating wearable sensing paper and a VO<sub>2</sub>threshold switching memristor
49 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Tianjin University, Tianjin University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago