Shujuan Tang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Shujuan Tang is a leading scholar at the intersection of artificial intelligence, international trade, and environmental sustainability. Her groundbreaking research investigates how the adoption of industrial robots reshapes global supply chains and carbon emissions, offering critical insights into the environmental consequences of automation. In her most-cited work, "Artificial intelligence and global embodied carbon flow: Evidence from the application of industrial robots" (2025), Dr. Tang provides compelling empirical evidence linking AI-driven manufacturing to shifts in cross-border carbon footprints, a contribution that has already garnered significant attention with 4 citations in its first year. This study is widely recognized for its novel methodology, which combines input-output analysis with AI adoption data to reveal hidden environmental costs of technological progress. Dr. Tang’s work is essential reading for students and researchers in ecological economics, trade policy, and sustainable development, as it challenges conventional assumptions about the green potential of automation. Her research not only advances academic understanding but also informs policymakers seeking to align industrial digitalization with climate goals. With a growing reputation for bridging complex data science and real-world environmental challenges, Dr. Tang is a rising voice in the global conversation on technology and sustainability.
Research Focus
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Top Papers
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