Papers
2
Total Citations
4
H-Index
1
About
Jiawen Pan is a researcher at the intersection of biomedical engineering and autonomous robotics, with key contributions in robot-assisted microsurgery and intelligent path planning. Pan’s most cited work, “Numerical Simulation of Thrombolysis in Robot-Assisted Retinal Vein Cannulation” (2020), addresses a critical gap in ophthalmic surgery by modeling the injection of anticoagulants into occluded retinal vessels—a procedure too delicate for human hands alone. This simulation-based approach provides foundational parameters for safe, robot-assisted thrombolysis, advancing the feasibility of treating retinal vein occlusion. More recently, Pan’s 2025 study, “Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots,” applies a novel optimization technique to enhance the efficiency of autonomous logistics, reducing operational costs in unmanned delivery systems. Though early in citation impact, these works demonstrate a dual focus on precision medicine and algorithmic robotics. Pan’s research is notable for bridging high-stakes surgical simulation with real-world automation challenges, offering practical solutions that could transform both clinical outcomes and logistics infrastructure.
Research Focus
Key Achievements
Top Papers
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