HongJiu Wang
Papers
1
Total Citations
16
H-Index
1
About
HongJiu Wang is a leading researcher at the intersection of artificial intelligence, energy economics, and corporate sustainability. Their work focuses on how AI-driven strategies can accelerate the low-carbon energy transition, with a particular emphasis on improving green technology innovation efficiency within enterprises. Wang’s most-cited paper, "Optimal strategy of artificial intelligence on low-carbon energy transformation: Perspective from enterprise green technology innovation efficiency" (2025, 16 citations), provides a pioneering framework for integrating AI into corporate environmental strategies, offering actionable insights for policymakers and business leaders. This research stands out for its timely analysis of how digital tools can optimize resource allocation and reduce carbon footprints, bridging the gap between technological advancement and ecological responsibility. Wang’s contributions are especially relevant in the context of global climate goals, where their work informs both academic discourse and practical decision-making. With a growing citation impact, Wang is recognized for advancing the dialogue on sustainable innovation, making their research essential for students and professionals exploring the role of AI in environmental management.
Research Focus
Key Achievements
Top Papers
- 1