Teng Ji

Yangzhou University

Papers

1

Total Citations

17

H-Index

1

About

Teng Ji is a rising innovator in the field of triboelectric nanogenerators and self-healing materials, with a focus on developing intelligent sensing systems for material identification and human-machine interaction. In their most-cited work, Ji introduced a groundbreaking triboelectric sensing array that integrates material identification with self-healing capabilities, enabled by a novel healable polyamide-based device unit. This contribution addresses a critical challenge in wearable electronics: the need for durable, autonomous sensors that can recover from mechanical damage while maintaining high sensitivity. By combining triboelectric principles with self-healing polymer chemistry, Ji's research paves the way for next-generation smart skins and interactive interfaces. With 17 citations on this key paper, their work is gaining traction among researchers in flexible electronics and sustainable device design. Ji's achievements exemplify how cross-disciplinary approaches—merging materials science, electrical engineering, and polymer chemistry—can yield practical solutions for resilient, adaptive technologies. Their ongoing research promises to further advance the reliability and functionality of self-powered sensing platforms.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A triboelectric sensing array integrating material identification and self-healing enabled by a healable polyamide-based device unit
17 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Yangzhou University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago