Yu‐Cheng Lin
Papers
1
Total Citations
3
H-Index
1
About
Yu-Cheng Lin is a pioneering researcher at the intersection of environmental economics and artificial intelligence, whose work redefines how we understand and mitigate industrial pollution. His most cited study, "Industrial pollution control based on artificial intelligence: A synergistic model using social network analysis and machine learning" (2025), introduces a groundbreaking framework that integrates Social Network Analysis (SNA) with machine learning to examine the complex relationships between articulated robots, environmental policy stringency, foreign direct investment, and PM2.5 levels across 12 developed nations over three decades. This innovative approach not only reveals how technological adoption and regulatory frameworks interact to shape air quality but also demonstrates the power of AI-driven methods in environmental governance. With 3 citations already, this work is gaining traction as a vital resource for policymakers and scholars. Lin’s research stands out for its methodological rigor and practical implications, offering a scalable model for data-driven pollution control. By bridging advanced analytics with real-world environmental challenges, Lin is shaping the future of sustainable industrial development.
Research Focus
Key Achievements
Top Papers
- 1