About

Meng Su is a pioneering researcher at the intersection of flexible electronics, wearable sensors, and intelligent human-machine interaction. Their work centers on developing novel sensing platforms that bridge the gap between physical stimuli and digital perception, with a particular focus on electronic textiles (e-textiles) and iontronic sensors. Su’s most impactful contribution is the development of an electronic textile using a dyeing method for multiresolution physical kineses monitoring (82 citations), which demonstrated a scalable approach to creating wearable, multipoint sensing fabrics. Another landmark achievement is the creation of a “touchable gustation” sensor using a Hoffmeister gel iontronic device (65 citations), enabling a chemical–mechanical interface that allows users to “taste” through touch—a breakthrough in sensory augmentation. Su has also advanced ambient human-computer interaction with a wearable perovskite-based shadow recognition sensor (14 citations) and contributed to agricultural technology with a deep learning method for detecting pollenable stamens in pear trees (FPG-YOLO, 19 citations). Their work on perovskite-graphene optical-mechanical sensors (2025) further pushes the boundaries of printed electronics for intuitive machine interfaces. With over 190 citations across their top papers, Su’s research is shaping the future of non-obtrusive, multifunctional wearable systems.

Research Focus

Key Achievements

4
H-Index
7
Papers
190
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Electronic Textile by Dyeing Method for Multiresolution Physical Kineses Monitoring
82 citations · 2017
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 53
🏛 Institutions: Chinese Academy of Sciences, Shanxi Agricultural University, University of Chinese Academy of Sciences, China Academy of Printing Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago