Papers

2

Total Citations

49

H-Index

2

About

Dr. Mojun Chen is pioneering the intersection of advanced materials and intelligent systems, with key research areas spanning flexible electronics, tactile sensing, and micro-robotics. Their most impactful contribution, the 2023 study on "Machine learning-coupled tactile recognition with high spatiotemporal resolution based on cross-striped nanocarbon piezoresistive sensor array," has already garnered 34 citations, demonstrating a transformative approach to creating artificial skin that can decode complex touch patterns with unprecedented precision. By integrating machine learning with a novel nanocarbon sensor architecture, Dr. Chen has enabled real-time, high-resolution tactile perception—a critical step for prosthetics and human-machine interfaces. In parallel, their innovative 2021 work on "One-Step, Continuous Three-Dimensional Printing of Multi-Stimuli-Responsive Bilayer Microactuators" (15 citations) addresses a longstanding bottleneck in small-scale robotics: the costly, multi-step fabrication of soft actuators. Using a double-barreled theta pipette, Dr. Chen developed a single-step, high-resolution 3D printing method for bi-material microactuators that respond to multiple stimuli, dramatically simplifying production. This dual expertise in sensor intelligence and advanced manufacturing positions Dr. Chen as a rising leader in next-generation soft robotics and smart materials.

Research Focus

Key Achievements

2
H-Index
2
Papers
49
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Machine learning-coupled tactile recognition with high spatiotemporal resolution based on cross-striped nanocarbon piezoresistive sensor array
34 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Hong Kong University of Science and Technology, University of Hong Kong

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago