Xingxia Wang
Papers
4
Total Citations
100
H-Index
4
About
Xingxia Wang is a pioneering researcher at the forefront of the transition from Industry 4.0 to Industry 5.0, with a sharp focus on human-centric, intelligent manufacturing systems. Her work masterfully integrates Generative AI, Cyber-Physical-Social Systems (CPSS), and parallel intelligence to reshape industrial paradigms. Wang’s major contributions include proposing a “6S” collaborative production ecology for Manufacturing 5.0 and developing the novel concept of metaverses-based parallel oil fields, which incorporate human factors into traditionally rigid CPS frameworks. Her research, cited over 100 times collectively, directly addresses critical challenges like data privacy, personalization, and the need for synergistic collaboration between digital, robotic, and biological workers. Notably, her 2024 paper on Generative AI in parallel manufacturing has already garnered 44 citations, signaling its immediate impact. By redefining modeling and operations for sectors like oil and gas, Wang is not just advancing automation but pioneering a socially conscious, human-centric future for global industry.
Research Focus
Key Achievements
Top Papers
- 1
- 2Metaverses-Based Parallel Oil Fields in CPSS: A Framework and Methodology30 citations · 2022
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