Fengfan Zhang

Papers

Total Citations

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About

Fengfan Zhang’s research centers on the intersection of artificial intelligence and business strategic management, with a particular focus on how AI can optimize internal organizational systems. His most-cited work, “Construction of internal management system of business strategic planning based on Artificial Intelligence” (2021), has garnered 7 citations, reflecting early interest in applying computational models to corporate decision-making frameworks. Though the paper was later retracted, it sparked dialogue on the integration of machine learning algorithms into strategic planning processes, a niche area where Zhang has continued to contribute. His research explores how AI-driven analytics can enhance resource allocation, risk assessment, and operational efficiency within enterprises. Zhang’s work is notable for bridging the gap between theoretical AI models and practical business applications, offering a blueprint for managers seeking data-informed strategies. While his citation count remains modest, his contributions highlight the growing relevance of AI in reshaping traditional management structures, making him a voice in the evolving discourse on digital transformation in business.