Jingfan Fan

Papers

Total Citations

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About

Dr. Jingfan Fan is a leading researcher in the intersection of medical robotics, augmented reality (AR), and surgical navigation, with a focus on improving precision in complex craniomaxillofacial procedures. His most cited work, "Robot‐assisted augmented reality surgical navigation based on optical tracking for mandibular reconstruction surgery" (2023, 31 citations), exemplifies his core contribution: developing integrated systems that fuse robotic assistance with AR visualization to enhance surgical accuracy. By enabling the real-time overlay of preoperative osteotomy plans onto the surgical field, Dr. Fan’s system empowers surgeons to perform mandibular and fibula osteotomies more quickly and safely. This work addresses a critical challenge in reconstructive surgery—bridging the gap between virtual planning and physical execution. With over 30 citations in a short time, his research is gaining rapid traction, reflecting its practical impact on surgical workflows. Dr. Fan’s innovations in optical tracking and human-machine collaboration are paving the way for next-generation, minimally invasive surgical tools, making him a rising authority in computer-assisted intervention.