Papers

13

Total Citations

466

H-Index

10

About

Fengtong Ji is a pioneering researcher at the intersection of micro/nanorobotics, active matter, and intelligent systems. His work focuses on designing and controlling small-scale robots for biomedical applications, particularly in intravascular therapy and environmental remediation. Ji's major contributions include developing tPA-anchored nanorobots for in vivo arterial recanalization in submillimeter segments (72 citations), a breakthrough that addresses the challenge of treating tiny blood vessels with high precision. He has also advanced collective behaviors in active matter, drawing inspiration from natural taxis across scales (73 citations), and created a soft robotic platform that decouples and reprograms the wiggling motion of midge larvae (70 citations), offering insights into efficient locomotion mechanisms. His innovative leech-inspired liquid metal robots enable reconfigurable circuit welding and transient electronics (41 citations), while his multimodal microdimer robots can cross tissue morphological barriers (23 citations). With over 450 total citations, Ji's work has been recognized for its interdisciplinary impact, bridging robotics, materials science, and biology. His recent achievements include a fully integrated wearable control system for micro/nanorobot navigation (2025) and a robot platform for highly efficient pollutant purification, demonstrating his commitment to translating fundamental research into practical solutions for healthcare and environmental challenges.

Research Focus

Key Achievements

10
H-Index
13
Papers
466
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Machine learning for micro- and nanorobots
82 citations · 2024
📈 Most Prolific Year: 2022 (5 Papers)
🤝 Key Collaborators: 75
🏛 Institutions: University of Cambridge, Chinese University of Hong Kong, Wellcome/Cancer Research UK Gurdon Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago