Xiaoyan Yue
Papers
4
Total Citations
122
H-Index
4
About
Xiaoyan Yue is at the forefront of wearable sensing technologies, pioneering the integration of advanced materials with intelligent signal processing. Her research focuses on developing high-performance, multifunctional strain and stress sensors for applications ranging from human motion recognition to robot control. Yue’s major contributions include the creation of a high-performance fibrous strain sensor with a synergistic sensing layer, which has garnered 91 citations for its impact on motion recognition and robot control. She has also advanced the field with deep learning-assisted tactile sensing platforms for efficient object classification and password recognition, and machine learning-facilitated gesture recognition using optimized wearable yarn-based strain sensors. Her work on extreme-temperature-tolerant flexible stress sensors addresses critical challenges in material strategies and performance under harsh conditions, demonstrating her commitment to expanding the operational boundaries of wearable electronics. With a growing citation record and a focus on practical applications, Yue’s research is shaping the future of smart textiles, soft robotics, and intelligent human-machine interfaces.
Research Focus
Key Achievements
Top Papers
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