13 citations as recorded by crossref.

1. Past, present, and future research of digital twin for smart manufacturing Y. Son et al. https://doi.org/10.1093/jcde/qwab067
2. A review of digital twin-driven machining: From digitization to intellectualization S. Liu et al. https://doi.org/10.1016/j.jmsy.2023.02.010
3. Review of digital twin about concepts, technologies, and industrial applications M. Liu et al. https://doi.org/10.1016/j.jmsy.2020.06.017
4. An approach to complex model ECGA for the stable and unstable grinding conditions M. Alsigar et al. https://doi.org/10.1088/1757-899X/971/2/022037
5. Strategic analysis of limitations in high-performance machining systems A. Masar & A. Mahmood https://doi.org/10.1016/j.rineng.2025.105991
6. Development of digital twin for tungsten inert gas (TIG) welding and analysis using desirability function analysis M. Sama et al. https://doi.org/10.1080/09507116.2026.2634208
7. A Horizontal Belt Abrasive Grinding Machinery with a Pulley System: Planning and Building H. Mural https://doi.org/10.36937/ben.2025.41041
8. Digital twin-based multi-view energy efficiency prediction for machining systems J. Li et al. https://doi.org/10.1080/27525783.2026.2634493
9. Optimal design of grinding systems with use of mathematical complex models ECGA M. Alsigar et al. https://doi.org/10.1016/j.matpr.2020.08.142
10. A Cross-Domain Systematic Mapping Study on Software Engineering for Digital Twins M. Dalibor et al. https://doi.org/10.1016/j.jss.2022.111361
11. Digital‐twin assisted: Fault diagnosis using deep transfer learning for machining tool condition B. Deebak & F. Al‐Turjman https://doi.org/10.1002/int.22493
12. Conceptual Design of Automated Equipment for Loading, Fixing, Processing, and Ejecting Cylindrical Parts C. Grădinaru et al. https://doi.org/10.2478/bipcm-2025-0011
13. Application of Life Cycle of Aeroengine Mainshaft Bearing Based on Digital Twin Y. Li et al. https://doi.org/10.3390/pr11061768