Papers

2

Total Citations

24

H-Index

2

About

Lanjie Lei is pioneering the intersection of soft materials and intelligent systems, with key research spanning liquid metal fibers, stretchable electronics, and miniaturized robotic sensing. Their most notable contribution is the development of shape-programmable liquid metal fibers, which leverage gallium-based liquid metals’ exceptional conductivity, fluidity, and self-healing properties to create highly stretchable conductors. This work, published in 2022, lays the foundation for next-generation intelligent textiles and imperceptible wearable electronics, earning 14 citations as a rapidly emerging innovation. In earlier work, Lei tackled the challenge of distance sensing for mini-robots, comparing Received Signal Strength Indicator (RSSI) and Time Difference of Arrival (TDOA) methods to enable compact, robust proximity detection on small robotic platforms. That 2011 study, with 10 citations, demonstrated practical solutions for networked robot swarms. Together, these contributions showcase Lei’s versatility—bridging advanced materials science with practical robotics engineering. Their research holds transformative potential for creating self-healing electronic skins, adaptive soft robots, and seamless human-machine interfaces, marking Lei as a rising interdisciplinary innovator.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Shape-Programmable Liquid Metal Fibers
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: State Key Laboratory of Digital Medical Engineering, University of Maryland, College Park

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago