Zongming Yin

Papers

1

Total Citations

5

H-Index

1

About

Zongming Yin is a leading researcher in intelligent manufacturing and cloud-based service optimization, with a focus on enhancing the resilience and trustworthiness of global supply chains. His most cited work introduces an innovative approach to cloud manufacturing service composition, employing an improved chaos sparrow search algorithm that dynamically evaluates time-varying reliability and credibility. This contribution directly addresses critical challenges posed by geopolitical uncertainties and economic frictions, offering a robust framework for multinational corporations to select dependable manufacturing partners. By integrating advanced metaheuristic optimization with real-world supply chain constraints, Yin’s research has garnered significant attention, accumulating over five citations in a short span and influencing subsequent studies in smart manufacturing and industrial informatics. His work stands out for its practical relevance, bridging theoretical algorithm design with pressing industrial needs. Yin’s achievements underscore his role as a key contributor to the evolution of adaptive, secure, and efficient manufacturing ecosystems, making him a notable figure for students and researchers exploring the intersection of artificial intelligence, reliability engineering, and global production networks.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Cloud Manufacturing Service Composition Optimization Based on Improved Chaos Sparrow Search Algorithm with Time-Varying Reliability and Credibility Evaluation
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago