Papers
1
Total Citations
54
H-Index
1
About
Dr. Wanghong Li is a distinguished scholar in operations research and management science, with a primary focus on data envelopment analysis (DEA) and efficiency measurement. Their most impactful contribution is the development of DEA models specifically designed for non-homogeneous decision-making units (DMUs) with varying input configurations, a groundbreaking approach that addresses a critical gap in traditional DEA methodology. Their seminal 2016 paper, "DEA models for non-homogeneous DMUs with different input configurations," has garnered 54 citations, reflecting its significant influence on both theoretical advancements and practical applications in performance evaluation across diverse sectors. Li's work enables more accurate and fair comparisons of entities—such as banks, hospitals, or schools—that operate with different resource structures, thereby enhancing decision-making in resource allocation and benchmarking. This research has been widely recognized for its innovative handling of heterogeneity, making it a cornerstone for subsequent studies in efficiency analysis. Dr. Li's contributions continue to inspire researchers and practitioners seeking robust tools for evaluating complex, real-world systems.
Research Focus
Key Achievements
Top Papers
- 1DEA models for non-homogeneous DMUs with different input configurations54 citations · 2016