Ziqing Wang
Papers
1
Total Citations
4
H-Index
1
About
Ziqing Wang is a researcher at the forefront of medical supply chain engineering and intelligent systems optimization. Their work focuses on enhancing the cost-effectiveness and operational efficiency of clinical resource planning, particularly within vascular robotic systems. Wang’s most notable contribution is the development of an integrated forecasting-optimization framework that combines seasonal autoregressive integrated moving average (SARIMA) models with the adaptive sparrow search algorithm. This innovative approach enables long-term, weekly demand forecasting and resource allocation, directly addressing critical challenges in medical supply management. Their highly cited paper, “Application of the adaptive sparrow search algorithm in medical supply engineering” (2025), has already garnered 4 citations, reflecting its timely impact on the field. By bridging predictive analytics with metaheuristic optimization, Wang’s work offers practical solutions for reducing waste and improving supply chain resilience in high-stakes clinical environments. Their research is especially valuable for students and professionals exploring the intersection of operations research, artificial intelligence, and healthcare logistics.
Research Focus
Key Achievements
Top Papers
- 1