Yijing Xia

Beijing University of Posts and Telecommunications

Papers

Total Citations

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About

Yijing Xia is a pioneering researcher in surgical robotics and computer vision, with a specialized focus on autonomous systems for trauma management and neurosurgical assistance. Her work addresses the critical challenge of intraoperative bleeding control, particularly in craniotomy procedures where rapid blood removal and incision detection are essential to prevent life-threatening complications. Xia’s most cited paper, “Autonomous Robot for Removing Superficial Traumatic Blood” (2021, 19 citations), introduces a novel robotic system capable of autonomously clearing blood from surgical sites to locate incisions, significantly reducing manual intervention and improving patient safety. Her follow-up study, “Bleeding contour detection for craniotomy” (2021, 6 citations), advances this work by developing algorithms to detect and map bleeding contours in real time during cranial surgeries. Together, these contributions have laid the groundwork for intelligent, autonomous surgical assistants that enhance precision and efficiency in high-stakes environments. Xia’s research is widely recognized for its translational potential, bridging robotics, image processing, and clinical practice. Her work continues to inspire innovations in automated surgical systems, with growing citation impact reflecting its importance in the field.