Yun Zhan
Papers
1
Total Citations
44
H-Index
1
About
Yun Zhan is a rising scholar at the intersection of green finance, artificial intelligence, and sustainable supply chain management. Their research focuses on leveraging AI-driven interventions to promote energy saving and emission reduction, particularly within small and medium-sized enterprises (SMEs). Zhan’s most-cited work, “Promoting energy saving and emission reduction benefits in small and medium-sized enterprises supply chains through green finance—Evidence based on artificial intelligence intervention” (2025), has already garnered 44 citations, reflecting its timely impact on policy and practice. By integrating machine learning with financial mechanisms, Zhan demonstrates how AI can optimize green finance allocation, enabling SMEs to adopt cleaner technologies while maintaining economic viability. This work bridges a critical gap between environmental goals and operational realities for resource-constrained firms. Zhan’s contributions are notable for their practical orientation, offering scalable solutions for supply chain decarbonization. As a forward-thinking researcher, Zhan is shaping the dialogue on how digital tools can accelerate the transition to a low-carbon economy, making their work essential reading for scholars and practitioners in sustainable finance, operations management, and AI for social good.
Research Focus
Key Achievements
Top Papers
- 1