Zhirong Hu

Papers

Total Citations

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About

Zhirong Hu is a forward-thinking scholar at the intersection of artificial intelligence and accounting, whose work critically examines how emerging technologies are reshaping the auditing profession. Hu’s primary research areas include AI-driven auditing reform, the impact of financial intelligent robots on accounting practices, and the integration of big data and cloud computing into traditional financial oversight. In their most-cited work, "Research on CPA Auditing Reform Strategy Under the Background of Artificial Intelligence" (2018, 5 citations), Hu provides a prescient analysis of how AI, big data, and cloud computing—particularly the rise of financial intelligent robots—pose unprecedented challenges to the accounting and auditing industries. This paper stands out for its early recognition of a paradigm shift, noting that many past predictions about AI have already materialized, and offers strategic reform pathways for Certified Public Accountants. While still developing their citation footprint, Hu’s contributions are notable for their timely, practical relevance, bridging technical innovation with professional standards. Their research serves as a valuable resource for students and practitioners navigating the digital transformation of finance, highlighting both the disruptions and opportunities AI brings to auditing.