Zeqiu Xu

Carnegie Mellon University

Papers

3

Total Citations

32

H-Index

3

About

Zeqiu Xu is an emerging researcher at the intersection of financial technology and digital transformation, with a focused expertise in the application of artificial intelligence and robotic process automation (RPA) within corporate finance. Their most recognized work centers on how AI and RPA can fundamentally reshape financial accounting and management practices, addressing the well-documented inefficiencies and vulnerabilities inherent in traditional financial processes. Through this research, Xu makes a compelling case for accelerating the digital transformation of corporate finance, offering both theoretical frameworks and practical insights for organizations navigating this shift. Their 2024 study on driving efficiency and risk management in finance through AI and RPA has garnered significant early attention, accumulating over 30 citations across multiple publications — a notable achievement for recently published work. This strong citation record suggests that Xu's contributions are resonating meaningfully within the financial technology research community. For students and practitioners interested in fintech innovation, automation strategy, and the future of financial management, Zeqiu Xu represents a promising voice shaping contemporary discourse on intelligent financial systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
32
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Driving Efficiency and Risk Management in Finance through AI and RPA
15 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago