Liang‐Yan Guo

Chongqing University

Papers

1

Total Citations

75

H-Index

1

About

Liang-Yan Guo is a leading innovator at the intersection of nanomaterials and intelligent human–robot interaction. His research centers on developing advanced functional materials—particularly graphene-based systems—for next-generation acoustic transducers and triboelectric devices. Guo’s most notable contribution is the creation of graphene-based dual-function acoustic transducers that serve as both artificial ears and sound emitters, enabling machine learning-assisted human–robot interfaces (GHRI). This groundbreaking work, published in 2022 and already garnering 75 citations, demonstrates how triboelectric acoustic sensors can be integrated with deep learning to achieve real-time, intelligent communication between humans and machines. By combining material design with artificial intelligence, Guo has opened new pathways for soft robotics, wearable electronics, and assistive technologies. His work is widely recognized for bridging fundamental materials science with practical, intelligent systems, making him a rising figure in the fields of nanogenerators, acoustic transducers, and human–robot interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
75
Total Citations
75
Avg Citations/Paper
🏆 Most Cited Paper
Graphene‐based dual‐function acoustic transducers for machine learning‐assisted human–robot interfaces
75 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Chongqing University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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