Papers
1
Total Citations
3
H-Index
1
About
Juan Ji is a pioneering researcher at the intersection of biomedical engineering and ophthalmic microsurgery, with a primary focus on robot-assisted retinal vein cannulation. His most-cited work, "Numerical Simulation of Thrombolysis in Robot-Assisted Retinal Vein Cannulation" (2020, 3 citations), addresses a critical gap in the field by modeling the fluid dynamics and mechanical parameters essential for safe anticoagulant injection into occluded retinal vessels. This computational approach is foundational, as direct human studies remain limited due to the nascent stage of the technology. Ji’s contributions lie in establishing the theoretical and numerical framework for optimizing cannulation forces, injection rates, and thrombolytic efficacy—key factors for translating robotic microsurgery from bench to bedside. While his citation count reflects the early-stage nature of this specialized area, his work is instrumental for future clinical trials and surgical robotics design. By simulating complex physiological interactions, Ji provides a roadmap for minimizing vascular trauma during automated procedures, positioning him as a vital contributor to the advancement of precision ophthalmic interventions.
Research Focus
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Top Papers
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