Papers
3
Total Citations
16
H-Index
2
About
Jingyun Zhao is a researcher at the forefront of Industry 4.0, specializing in Digital Twin (DT) technology and the interoperability of cyber-physical systems. Her work addresses a critical industrial challenge: creating seamless virtual representations of physical products and plants from heterogeneous data sources. Zhao’s most influential paper, “A Semi-Automatic Approach for Asset Administration Shell Creation from Heterogeneous Data” (2023, 10 citations), proposes a method to overcome the inconsistent interfaces between engineering disciplines, enabling the standardized digital twins essential for the value chain. She further advances the field with her architecture for a versatile Digital Twin using socket-based communication and Azure DT (2023, 4 citations), which integrates IoT, big data, and AI for real-time monitoring and optimization. Zhao’s earlier work on high-speed parallel robot dynamic modeling based on PLC (2018) demonstrates her foundational expertise in automation and control. With a growing citation impact, Zhao is a key contributor to making Industry 4.0’s vision of interoperable, intelligent manufacturing a practical reality.
Research Focus
Key Achievements
Top Papers
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- 2
- 3High-speed parallel robot dynamic modelling based on PLC2 citations · 2018