About
Nan Hu, Ph.D., is The University of Tulsa’s Philip A. Chapman Chair in Accounting and specializes in the capital market value of unstructured data. He uses an interdisciplinary approach, combining AI, machine learning and large language models with accounting, finance and management. Known for his pioneering early work on the economic value of online user content, his research bridge the gap between technology and business.
Key Achievements:
- Highly Cited: 9,100+ Google Scholar citations.
- Distinguished researcher with works ranked in the top 1% of Springer’s most-cited global publications and the top 10% for all-time SSRN downloads.
- Extensive Body of Work: Over 100 papers published in top-tier journals and conferences.
- Cross-Disciplinary Impact: Hu’s work is featured in elite journals across four major fields:
- Accounting/Finance: JCF, JAAF, JBFA, JAPP, EAR, MAR
- Information Systems: MISQ, JMIS, DSS, IEEE TEM
- Operations: POM, JOM, JBR
Awards and honors
- Management World Outstanding Paper Award, 2021
- Elsevier Highly Cited Chinese Researcher in Business Administration, 2021-24
- ESI Top 1% Highly Cited Papers
- ESI Top 0.1% Hot Papers
Education
- Ph.D., University of Texas at Dallas
Research interests and areas of expertise
- AI ethics
- AI risk assessment and compliance
- AI agent and LLM
- Valuation of unstructured data