Yaxin Yang

Papers

Total Citations

H-Index

About

Yaxin Yang is a leading researcher at the forefront of cyber-physical systems, with a primary focus on digital twin technology, advanced sensing, and artificial intelligence integration. Their seminal work, "The next-generation digital twin: from advanced sensing towards artificial intelligence-assisted physical-virtual system," published in 2025, has already garnered 7 citations, underscoring its immediate impact on the field. Yang’s major contribution lies in conceptualizing and advancing a unified framework that seamlessly bridges physical and virtual realms through AI-driven analytics and sophisticated sensor networks. This work not only redefines the capabilities of digital twins—enabling real-time, adaptive simulations for complex systems like smart manufacturing and infrastructure—but also sets a new standard for intelligent, autonomous monitoring and control. By synthesizing cutting-edge sensing technologies with machine learning, Yang has paved the way for more resilient, efficient, and predictive systems. Their research is particularly notable for its forward-looking vision, anticipating the next generation of interconnected physical-virtual ecosystems. As a rising voice in this domain, Yaxin Yang continues to shape how researchers and engineers approach the design and deployment of intelligent, data-driven twins, making their work essential reading for anyone exploring the future of automation and system integration.