Yuling Chen
Papers
1
Total Citations
4
H-Index
1
About
Yuling Chen is a researcher whose work sits at the intersection of international trade, industrial automation, and environmental sustainability. Her research focuses on understanding how global supply chains—particularly in industrial robotics—influence manufacturing carbon intensity and environmental outcomes. In her most-cited paper, "Global industrial robots trade network structure and its impact on manufacturing carbon intensity" (2025), Chen maps the complex web of robot trade flows across nations and demonstrates how network centrality and trade dependencies affect the carbon footprint of manufacturing sectors. This work provides critical insights for policymakers and industry leaders seeking to decarbonize production while maintaining technological competitiveness. Though early in her career, with her flagship paper already garnering 4 citations, Chen’s research is gaining traction among scholars studying the environmental implications of automation and global value chains. Her contributions are particularly valuable for students and researchers interested in the nexus of Industry 4.0, trade network analysis, and climate change mitigation, offering a data-driven lens on how the spread of robotics can either accelerate or hinder progress toward net-zero manufacturing.
Research Focus
Key Achievements
Top Papers
- 1