Yanming Fu
Papers
3
Total Citations
23
H-Index
3
About
Yanming Fu is a researcher at the intersection of robotic surgery and spinal orthopedics, with a primary focus on minimally invasive treatments for osteoporotic vertebral compression fractures (OVCFs). His major contributions include pioneering systematic reviews and meta-analyses that evaluate the efficacy and safety of robot-assisted techniques, such as robot-assisted percutaneous kyphoplasty and minimally invasive surgery, compared to traditional approaches. Fu’s work has demonstrated that robotic assistance can enhance surgical precision, reduce complications, and improve clinical outcomes for OVCF patients, offering critical evidence for the adoption of these technologies in spine care. His research also extends to robotics engineering, where he developed a novel nonlinear equivalent method for analyzing clearance-affected accuracy and error sensitivity in spatial parallel robots, advancing the theoretical foundation for robotic system design. With over 20 combined citations across his most-cited papers, Fu’s studies have become valuable references for clinicians and engineers seeking to integrate robotics into spinal surgery. His 2023 and 2024 meta-analyses, published in high-impact journals, represent notable achievements that bridge engineering precision with clinical practice, positioning him as a key contributor to the growing field of robot-assisted orthopedics.
Research Focus
Key Achievements
Top Papers
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