Papers

5

Total Citations

110

H-Index

4

About

Liming Liu is a researcher whose work spans orthopedic surgery technology and flexible electronics engineering, with a primary focus on advancing precision techniques in total knee arthroplasty (TKA). Liu's most influential contribution is a landmark 2021 network meta-analysis comparing computer navigation, patient-specific instruments, and robotic systems in TKA, which has garnered 86 citations and established a critical evidence base demonstrating that navigation and robotics achieve superior limb alignment compared to conventional approaches. Building on this foundation, Liu has systematically investigated robotic-assisted surgery through multiple lenses — evaluating surgical trauma perspectives, benchmarking robotics against personalized 3D preoperative planning, and conducting a pioneering clinical evaluation of China's first domestically manufactured semi-active TKA robot, contributing to the growing body of evidence supporting homegrown surgical innovation. More recently, Liu has expanded into flexible electronics, exploring liquid metal-based strain sensors with varied microchannel architectures for specialized wearable applications. With cumulative citations reflecting meaningful scholarly impact, Liu's interdisciplinary profile bridges cutting-edge surgical robotics with emerging materials science, making their research particularly valuable for clinicians, biomedical engineers, and students navigating the intersection of technology and modern medicine.

Research Focus

Key Achievements

4
H-Index
5
Papers
110
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Navigation and robotics improved alignment compared with PSI and conventional instrument, while clinical outcomes were similar in TKA: a network meta‐analysis
86 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Army Medical University, Southwest Hospital, Guangxi University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago