Meihua Zou
Papers
1
Total Citations
2
H-Index
1
About
Meihua Zou is a researcher at the forefront of integrating automation and artificial intelligence into financial management systems. Her work primarily focuses on the application of Robotic Process Automation (RPA) and machine learning algorithms to revolutionize budget data acquisition and processing. In her most-cited paper, "Application of PRA and Machine Learning Algorithm in Budget Data Acquisition and Processing System" (2022), Zou addresses a critical challenge for modern enterprises: how to automate and optimize comprehensive budget management. She demonstrates how combining RPA with machine learning can streamline budget data collection, enhance preparation accuracy, and reduce manual effort. This contribution is particularly impactful for organizations seeking to modernize their financial operations through intelligent automation. With 2 citations, her work serves as a foundational reference for researchers and practitioners exploring the intersection of IT and corporate finance. Zou’s research offers practical insights into building smarter, more efficient budget systems, making her a notable voice in the fields of financial technology and applied machine learning.
Research Focus
Key Achievements
Top Papers
- 1