Lianbiao Cui
Papers
1
Total Citations
16
H-Index
1
About
Lianbiao Cui is a leading researcher at the intersection of artificial intelligence, environmental economics, and sustainable energy transformation. His work centers on how AI-driven strategies can optimize enterprise green technology innovation, directly addressing the urgent challenge of low-carbon energy transitions. In his most-cited paper, "Optimal strategy of artificial intelligence on low-carbon energy transformation: Perspective from enterprise green technology innovation efficiency" (2025), Cui pioneers a framework that quantifies how AI can enhance firms’ efficiency in developing and deploying clean technologies, offering actionable insights for policymakers and industry leaders. Though early in its impact trajectory—with 16 citations already—this work signals a paradigm shift in integrating computational intelligence with climate mitigation. Cui’s research bridges theoretical modeling and practical application, providing a roadmap for enterprises to balance profitability with environmental stewardship. His contributions are particularly notable for their timeliness, as global economies race to meet net-zero targets. By demonstrating that AI can systematically improve innovation efficiency in green sectors, Cui positions himself at the forefront of a critical field, where his findings are poised to influence both academic discourse and real-world energy policy.
Research Focus
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Top Papers
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