Papers
1
Total Citations
4
H-Index
1
About
Yuchi Li is a rising researcher in the intersection of medical systems engineering and computational optimization, with a growing focus on enhancing the operational efficiency of clinical robotic technologies. Li’s key research areas include demand forecasting, resource planning, and metaheuristic optimization algorithms applied to healthcare supply chains. Their most cited work, "Application of the adaptive sparrow search algorithm in medical supply engineering" (2025, 4 citations), introduces a novel integrated framework that combines SARIMA-based weekly demand forecasting with an adaptive sparrow search algorithm to optimize long-term resource planning for vascular robotic systems. This contribution directly addresses the critical challenge of cost-effectiveness in robotic-assisted surgery, offering a data-driven approach to reduce waste and improve system availability. By demonstrating how advanced optimization can be tailored to clinical settings, Li’s work bridges the gap between theoretical algorithm development and practical medical engineering. As an emerging scholar, Li’s research holds significant promise for shaping future smart healthcare logistics, with the potential to influence both operational research and biomedical engineering communities.
Research Focus
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Top Papers
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