Papers
3
Total Citations
11
H-Index
2
About
Xingdong Yang is a leading orthopedic researcher specializing in robotic-assisted total knee arthroplasty (TKA), with a focus on optimizing surgical techniques and radiological outcomes. His work centers on comparing robotic-assisted TKA with conventional methods, demonstrating that robotic assistance significantly improves joint line and posterior condylar offset restoration—critical factors for implant longevity and patient function. Yang has also advanced the understanding of gap balancing strategies, contrasting ligament balancing with measured resection in robot-assisted procedures, and has investigated how trochlear orientation impacts patella-related outcomes. With over 11 citations across his most recent studies, his research is gaining traction for its practical implications in precision joint replacement. Notably, his 2025 cohort study on ligament balancing versus measured resection provides valuable intraoperative and postoperative data, helping surgeons refine their approach to achieve optimal soft tissue tension and alignment. Yang’s contributions are shaping the next generation of TKA techniques, offering evidence-based guidance for improving patient outcomes in robotic surgery.
Research Focus
Key Achievements
Top Papers
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