Papers

11

Total Citations

219

H-Index

8

About

Lu-Ping Zhou is a spine surgery researcher whose work sits at the intersection of surgical robotics, computer-assisted navigation, and spinal instrumentation. With a focused body of research spanning thoracolumbar and cervical spine procedures, Zhou has made significant contributions to understanding when and how robot-assisted (RA) techniques outperform conventional freehand and fluoroscopy-guided methods in pedicle screw placement — a technically demanding procedure where precision directly impacts patient safety. Zhou's most-cited work, a 2020 meta-analysis (54 citations), rigorously evaluated the accuracy of robotic guidance versus computer-assisted navigation across multiple clinical outcomes, helping to establish an evidence base for adopting RA systems in spine surgery. Subsequent studies extended this inquiry to cranial facet joint protection, risk factor profiling, and the challenging domain of cervical spine surgery — where RA application remains rare due to anatomical complexity. Notably, Zhou's 2023 investigations into cervical robotic surgery (totaling over 50 citations combined) represent a frontier contribution to the field. More recently, Zhou has pioneered 5G-enabled remote robotic surgery, signaling a forward-thinking perspective on technology's role in expanding surgical access. Collectively, Zhou's publications reflect a rigorous, clinically grounded program of research that is shaping the future of minimally invasive spinal procedures worldwide.

Research Focus

Key Achievements

8
H-Index
11
Papers
219
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Accuracy of Pedicle Screw Placement and Four Other Clinical Outcomes of Robotic Guidance Technique versus Computer-Assisted Navigation in Thoracolumbar Surgery: A Meta-Analysis
54 citations · 2020
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Anhui Medical University, U.S. National Science Foundation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago