Papers

10

Total Citations

125

H-Index

5

About

Shoujun Zhou is a pioneering researcher in medical robotics, with a focus on minimally invasive surgical systems, vascular intervention, and robot-assisted diagnostics. His work centers on developing intelligent robotic platforms that enhance surgical precision while protecting both patients and clinicians from the hazards of conventional procedures, particularly radiation exposure during interventional surgery. Zhou's most significant contributions lie in cerebrovascular and cardiovascular intervention robotics. His landmark 2018 study introducing a remote-controlled robotic system for cerebrovascular intervention — including the first in vivo proof-of-concept trial — garnered 41 citations and established a foundation for master-slave surgical robotics in this domain. A follow-up systems paper in 2019 further consolidated his influence with 33 citations. Beyond vascular applications, Zhou has extended his expertise to brachytherapy for liver tumors and ultrasound-guided puncture systems, demonstrating a versatile command of surgical robotics across clinical contexts. With a cumulative citation count exceeding 125, his research has meaningfully shaped the trajectory of robot-assisted minimally invasive surgery. His investigations into adaptive control methods, precise calibration techniques, and network communication protocols reflect a comprehensive, systems-level approach to surgical robotics — making his work essential reading for researchers and clinicians advancing the next generation of intelligent medical interventions.

Research Focus

Key Achievements

5
H-Index
10
Papers
125
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A novel remote-controlled robotic system for cerebrovascular intervention
41 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 35
🏛 Institutions: Shenzhen Institutes of Advanced Technology, Shenzhen University, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago