Shikai Zhuang

Papers

1

Total Citations

5

H-Index

1

About

Shikai Zhuang is an emerging researcher at the intersection of financial technology, artificial intelligence, and corporate finance transformation. His work focuses on the critical integration of AI and robotic process automation (RPA) within financial accounting and management systems, addressing longstanding inefficiencies in traditional financial processes. His most recognized contribution, "Driving Efficiency and Risk Management in Finance through AI and RPA" (2024), has already garnered 5 citations within its first year of publication — a promising indicator of its relevance in a rapidly evolving field. In this work, Zhuang systematically identifies the shortcomings of conventional financial workflows and makes a compelling case for digital transformation as both a practical necessity and strategic advantage for modern enterprises. His research bridges the gap between technological innovation and real-world financial operations, offering actionable frameworks for organizations navigating the complexities of automation adoption. As AI continues to reshape the financial sector, Zhuang's scholarship positions him as a thoughtful voice in conversations around risk management, operational efficiency, and the future of corporate finance in the digital age.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
<strong>Driving Efficiency and Risk Management in Finance through AI and RPA</strong>
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago