Wenke Yang

Zhengzhou University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Wenke Yang is a leading innovator in the field of flexible electronics and human-machine interaction, with a primary focus on developing advanced wearable sensor systems. Their most prominent work introduces a groundbreaking "Machine Learning‐Enhanced Smart Interactive Glove," which integrates a flexible gradient ridge architecture iontronic capacitive sensor. This design overcomes a critical challenge in the field—maintaining high sensitivity and stability across a broad pressure range—by leveraging a novel structural approach. Dr. Yang’s major contribution lies in fusing this sophisticated sensor hardware with machine learning algorithms, creating a smart glove capable of nuanced, real-time gesture and pressure recognition. This work, already garnering early citations, demonstrates a powerful synergy between materials engineering and artificial intelligence, paving the way for next-generation prosthetics, virtual reality interfaces, and robotic teleoperation. By solving a fundamental trade-off in sensor performance, Dr. Yang’s research stands as a pivotal achievement in making wearable technology more intuitive, responsive, and practically deployable for complex interactive tasks.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Machine Learning‐Enhanced Smart Interactive Glove Utilizing Flexible Gradient Ridge Architecture Iontronic Capacitive Sensor
5 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Zhengzhou University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago