About

Dr. Jing Qin is a pioneering researcher at the intersection of surgical robotics, medical image computing, and intelligent intervention systems. His work has fundamentally advanced the precision and safety of minimally invasive procedures, particularly in challenging areas such as zygomatic implant placement and large tumor ablation. Dr. Qin’s most impactful contribution is the development of a surgical robot system for zygomatic implant placement (81 citations), offering a transformative alternative to massive grafting in severe maxillary atrophy. He has also made seminal contributions to robotic-assisted radiofrequency ablation (RFA), with multiple highly cited papers (55, 24, and 12 citations) focused on overlapping ablation planning and single-incision needle insertion for large liver tumors. Beyond the operating room, Dr. Qin’s research extends to rehabilitation robotics, where a recent network meta-analysis (32 citations) demonstrated the efficacy of robot-assisted and virtual reality interventions for stroke recovery. His work also explores cutting-edge frontiers, including light-driven plasmonic microrobots for nanoparticle manipulation (21 citations) and domain-adaptive gesture recognition for surgical training. With a portfolio spanning from clinical translation to fundamental robotics, Dr. Qin’s research continues to shape the future of intelligent, image-guided medical interventions.

Research Focus

Key Achievements

7
H-Index
11
Papers
247
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Pilot study of a surgical robot system for zygomatic implant placement
81 citations · 2019
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: Hong Kong Polytechnic University, National University of Singapore, University of Würzburg, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Information Technology, University of Kentucky

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago