Shanling Ji
Papers
1
Total Citations
7
H-Index
1
About
Shanling Ji is a pioneering researcher at the forefront of cyber-physical systems, with a primary focus on the evolution of digital twin technology. His most influential work, "The next-generation digital twin: from advanced sensing towards artificial intelligence-assisted physical-virtual system," published in 2025, has already garnered 7 citations, signaling its rapid impact on the field. In this seminal paper, Ji articulates a transformative vision for digital twins, moving beyond traditional monitoring to integrate advanced sensor networks and AI-driven analytics. He demonstrates how these systems can achieve seamless, bidirectional interaction between physical assets and their virtual counterparts, enabling real-time optimization, predictive maintenance, and autonomous decision-making. This contribution is particularly notable for bridging the gap between theoretical frameworks and practical deployment in industrial and smart-city contexts. Ji’s work is characterized by its interdisciplinary approach, merging insights from sensing technology, machine learning, and systems engineering. As a rising voice in the next generation of digital twin research, his contributions are shaping how engineers and scientists conceive of and build intelligent, responsive physical-virtual ecosystems.
Research Focus
Key Achievements
Top Papers
- 1