Papers
1
Total Citations
16
H-Index
1
About
Xuebao Fu is a leading researcher at the intersection of artificial intelligence, low-carbon energy transformation, and enterprise innovation. Their work centers on how AI-driven strategies can optimize green technology innovation efficiency, a critical lever for achieving sustainable economic growth. Fu’s most-cited paper, “Optimal strategy of artificial intelligence on low-carbon energy transformation: Perspective from enterprise green technology innovation efficiency” (2025), has already garnered 16 citations, reflecting its timely and impactful contribution to the field. By modeling the interplay between AI deployment and corporate environmental performance, Fu provides actionable frameworks for policymakers and business leaders navigating the dual pressures of digitalization and decarbonization. This research not only advances theoretical understanding of technology adoption in green contexts but also offers practical guidance for enhancing innovation efficiency in energy-intensive sectors. Fu’s work is increasingly recognized as foundational for scholars studying the nexus of AI, sustainability, and industrial transformation, positioning them as a key voice in the global conversation on climate-tech solutions.
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