Papers
5
Total Citations
38
H-Index
3
About
Jiewen Zhang is a rising orthopedic researcher whose work centers on advancing robotic-assisted arthroplasty, with a particular focus on total knee and hip replacements. Their major contributions lie in developing predictive models that integrate radiomics and clinical indicators to forecast postoperative outcomes, aiming to personalize surgical planning and improve patient satisfaction. Zhang’s most-cited paper, “Prediction of early functional outcomes in patients after robotic-assisted total knee arthroplasty: a nomogram prediction model” (2023, 19 citations), introduces a practical tool for clinicians. Another key study, “Learning curve and short-term clinical outcomes of a new seven-axis robot-assisted total knee arthroplasty system” (2023, 12 citations), demonstrates the feasibility and benefits of novel robotic systems. More recently, Zhang has explored CT radiomics to predict patient satisfaction after robotic knee surgery (2024) and investigated leg-length discrepancy in robotic hip arthroplasty (2025). With a growing citation record and a clear trajectory toward data-driven, precision orthopedics, Zhang’s work is shaping how surgeons evaluate and improve robotic-assisted joint replacement outcomes.
Research Focus
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