Mengqian Zhang
Papers
1
Total Citations
2
H-Index
1
About
Mengqian Zhang is an emerging researcher at the intersection of intelligent automation and financial systems, whose work focuses on transforming enterprise budget management through advanced computational methods. Her primary research areas include robotic process automation (RPA), machine learning algorithms, and their application to data acquisition and processing systems. Zhang’s major contribution lies in demonstrating how RPA and machine learning can be synergistically integrated to automate budget data collection, streamline budget preparation, and optimize comprehensive budget management systems—addressing a critical need for enterprises seeking efficiency in financial operations. Her most cited paper, “Application of PRA and Machine Learning Algorithm in Budget Data Acquisition and Processing System” (2022), has garnered 2 citations, marking an early but promising impact in the field. This work highlights her ability to bridge practical business challenges with cutting-edge IT solutions, offering a blueprint for automating traditionally manual, error-prone processes. As a researcher, Zhang’s achievements signal a growing expertise in leveraging automation and AI to enhance organizational decision-making, making her a notable voice in the evolving landscape of intelligent financial systems.
Research Focus
Key Achievements
Top Papers
- 1