Papers

25

Total Citations

1,743

H-Index

17

About

Kaichen Xu is a pioneering researcher at the forefront of flexible electronics, wearable sensing systems, and human-machine interfaces. His work spans skin-inspired sensor design, multifunctional flexible electronics, and the integration of artificial intelligence with tactile perception technologies — areas that sit at the cutting edge of healthcare monitoring, soft robotics, and the Internet of Things. Xu's most celebrated contribution, "Multifunctional Skin-Inspired Flexible Sensor Systems for Wearable Electronics" (2019), has amassed nearly 600 citations, establishing him as a leading voice in next-generation wearable devices. His subsequent work on flexible humidity sensors (300 citations) and hybrid sensory feedback systems (148 citations) further cemented his reputation for advancing noncontact and multimodal sensing capabilities. More recently, his machine learning-enabled tactile sensor design (147 citations) reflects a sophisticated shift toward data-driven, inverse-design methodologies that transcend traditional trial-and-error approaches. Xu's innovations extend into neuromorphic computing, collaborative robotics, laser-based fabrication, and super-resolution tactile arrays powered by deep learning — demonstrating remarkable breadth. With over 1,500 cumulative citations across his top publications, his research is shaping how machines perceive, respond to, and interact with the human body and surrounding environments.

Research Focus

Key Achievements

17
H-Index
25
Papers
1,743
Total Citations
70
Avg Citations/Paper
🏆 Most Cited Paper
Multifunctional Skin‐Inspired Flexible Sensor Systems for Wearable Electronics
597 citations · 2019
📈 Most Prolific Year: 2025 (9 Papers)
🤝 Key Collaborators: 100
🏛 Institutions: Osaka Prefecture University, Zhejiang University, Zhejiang Lab

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago