Duo Pan

Papers

1

Total Citations

11

H-Index

1

About

Duo Pan is a rising innovator in wearable sensing technologies and intelligent materials, whose work bridges the gap between flexible electronics and machine learning. Their research focuses on developing advanced strain sensors that combine high sensitivity, environmental resilience, and smart signal processing. In their most-cited paper, Pan introduced a flexible hydrophobic conductive yarn with a controllable microcrack structure, enabling precise gesture recognition through machine learning—a breakthrough that addresses key challenges in wearable human-machine interfaces. This work, already garnering 11 citations shortly after publication, demonstrates Pan’s ability to integrate materials engineering with computational intelligence. By optimizing structural design for enhanced performance, Pan’s contributions are paving the way for next-generation wearable devices that are both durable and intelligent. Their research holds promise for applications in healthcare monitoring, robotics, and interactive systems, marking them as a researcher to watch in the rapidly evolving field of smart textiles and sensor technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Machine learning facilitated gesture recognition using structural optimized wearable yarn-based strain sensor
11 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago