Papers

5

Total Citations

168

H-Index

4

About

Bangbang Nie is a rising leader in bioinspired flexible electronics and intelligent tactile sensing, whose work bridges materials science, robotics, and human-machine interaction. Her research centers on developing soft sensors and hydrogels that mimic biological mechanosensing—particularly sliding tactile perception, a critical yet underexplored capability for robotic intelligence. Her most impactful contribution, the 2022 paper “Bioinspired robot skin with mechanically gated electron channels for sliding tactile perception” (111 citations), introduces a novel mechanism inspired by mechanosensory cells, enabling robots to perceive tangential forces with unprecedented human-like sensitivity. She has also pioneered multifunctional hydrogels (e.g., PVA/SA-based systems) that integrate high stretchability, conductivity, and antibacterial properties for wearable flexible sensors (31 citations), and developed self-healing metal nano-mesh strain sensors that spontaneously recover after fracture (15 citations). Her recent work on fishing net-inspired PVA-chitosan-CNT hydrogels and gecko-inspired self-sensing adhesives further expands the frontier of durable, environmentally stable textile sensors and intelligent adhesion systems. With a growing citation record and a portfolio of innovative, nature-inspired designs, Nie is shaping the future of soft robotics and smart wearable technologies.

Research Focus

Key Achievements

4
H-Index
5
Papers
168
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Bioinspired robot skin with mechanically gated electron channels for sliding tactile perception
111 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Xi'an Jiaotong University, Henan University of Technology, Zhengzhou University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago