Yanwen Xu

Papers

Total Citations

H-Index

About

Yanwen Xu is a rising scholar in surgical education and biomedical informatics, with a focused interest in robotic surgery training and bibliometric analysis. Their most-cited work, "Simulation-based training in robotic surgery education: bibliometric analysis and visualization" (2024, 14 citations), provides a comprehensive mapping of research trends in simulation-based curricula for robotic surgery, highlighting key authors, institutions, and emerging themes. This contribution offers a valuable roadmap for educators and clinicians seeking evidence-based approaches to training in minimally invasive procedures. Xu’s research bridges data science and surgical pedagogy, using visualization tools to identify gaps and guide future studies. Their work has already informed discussions on standardizing robotic surgery education, with the paper serving as a reference for curriculum developers. As an early-career researcher, Xu demonstrates a knack for synthesizing complex literature into actionable insights, positioning them as a key voice in the evolution of surgical training. Their ongoing efforts promise to shape how next-generation surgeons acquire technical skills in an increasingly automated operating room.