Jingkun Yang

Shenzhen University

Papers

2

Total Citations

89

H-Index

2

About

Dr. Jingkun Yang is pioneering the future of soft robotics and human-machine interaction through advanced flexible sensing technologies. Their research centers on developing intrinsically self-healing, stretchable materials and intelligent wearable systems that endow robots with multimodal tactile perception. A landmark contribution is their work on soft robotic-adapted multimodal sensors derived from entirely self-healing cross-linked networks (2023, 83 citations), which addresses the critical challenge of creating reliable, sustainable flexible sensors for robotic motion monitoring and detection. Building on this foundation, Dr. Yang introduced an intelligent glove system for real-time acquisition and display of multiple electrical signals (2024), enabling simultaneous capture of pressure, bending, and temperature—a breakthrough for more intuitive human-robot collaboration. These innovations are shaping the next generation of soft robotics, where durable, self-repairing sensors are essential for autonomous systems. With their work already garnering significant attention in the field, Dr. Yang continues to push the boundaries of what’s possible in intelligent robotics and wearable technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
89
Total Citations
45
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: 12
🏛 Institutions: Shenzhen University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago