Yinghui Wu

Shenzhen University

Papers

3

Total Citations

94

H-Index

3

About

Yinghui Wu is a leading researcher at the forefront of soft robotics and intelligent wearable systems, specializing in the development of advanced flexible sensors and self-powered electronic skins. Her major contributions lie in creating highly stretchable, self-healing, and multimodal sensory materials that can detect pressure, bending, and temperature simultaneously. Wu’s landmark 2023 work on entirely intrinsic self-healing cross-linked networks, which has garnered 83 citations, established a new paradigm for durable, sustainable soft sensors that can autonomously repair damage—a critical breakthrough for long-term robotic applications. She further demonstrated practical impact through an intelligent glove system (2024) that enables real-time, multiple electrical signal acquisition for enhanced human-machine interaction. Most recently, her 2025 study on ultrathin, liquid-phase transferred self-powered sensors achieved unprecedented conformability on complex 3D surfaces, significantly improving wearing comfort and detection accuracy for on-skin devices. By integrating self-healing capabilities, multimodal sensing, and energy autonomy, Wu’s work is directly shaping the next generation of intelligent robotics, prosthetics, and wearable health monitors, making her a pivotal figure in the evolution of soft, adaptive electronic systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
94
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Soft Robotic‐Adapted Multimodal Sensors Derived from Entirely Intrinsic Self‐Healing and Stretchable Cross‐Linked Networks
83 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Shenzhen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago