Papers

12

Total Citations

446

H-Index

9

About

Bingqian Li is a dynamic researcher at the forefront of soft robotics, advanced manufacturing, and bioinspired systems. Their work centers on 4D printing technologies, smart materials, and the development of intelligent soft machines that draw inspiration from biological organisms. Li's most significant contributions include pioneering parameter-encoded 4D printing approaches for liquid crystal elastomers, enabling programmable shape-morphing behaviors without requiring multiple materials — a breakthrough that has garnered over 115 citations and fundamentally expanded the design possibilities in 4D printing. Their landmark review on soft robotics biology and bioinspiration (91 citations) has become an essential reference for researchers bridging biological principles with robotic design. Beyond shape morphing, Li has made notable advances in 3D-printed tactile sensors featuring biomimetic and auxetic structures, self-sustaining soft crawling machines powered by ambient thermal fields, and stiffness-tunable conductive composites that mimic the neuromuscular adaptability of living organisms. With a cumulative citation count exceeding 440 across their published work, Li's research consistently pushes the boundaries of what soft, intelligent machines can achieve, offering transformative implications for prosthetics, autonomous robotics, and human-machine interaction.

Research Focus

Key Achievements

9
H-Index
12
Papers
446
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Programming Shape-Morphing Behavior of Liquid Crystal Elastomers via Parameter-Encoded 4D Printing
115 citations · 2020
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: Jilin University, Central South University, Jilin Medical University

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