Wanying Liu
Papers
1
Total Citations
2
H-Index
1
About
Wanying Liu is an emerging researcher at the forefront of digital transformation in enterprise operations, with a primary focus on robotic process automation (RPA) and its integration with intelligent video technologies. Her most-cited work, "Research on Power supply office management based on RPA intelligent video technology" (2022), examines how RPA can streamline power supply office management by automating repetitive digital tasks, thereby reducing operational costs and enhancing efficiency. Although early in her career, with this paper garnering 2 citations, Liu’s contribution is notable for addressing a practical gap in the energy sector—applying automation to legacy administrative workflows. Her research bridges the gap between theoretical RPA frameworks and real-world implementation, offering a blueprint for digital cost-reduction strategies in utility management. Liu’s work is particularly relevant for students and practitioners interested in the intersection of automation, video analytics, and operational optimization. As digital transformation accelerates across industries, her findings provide a foundational case study for leveraging RPA to achieve quality improvements and efficiency gains in traditionally manual office environments.
Research Focus
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Top Papers
- 1