21 citations as recorded by crossref.

1. An improved transfer learning method for rotor unbalance position identification from simulated data to experimental data Q. Zhu et al. https://doi.org/10.1016/j.apm.2024.115793
2. A resonance-avoiding modal balancing method for multimodal balancing of high-speed flexible rotors Z. Deng et al. https://doi.org/10.1088/1361-6501/ad9163
3. A Review of Key Technologies for High-Speed Motorized Spindles of CNC Machine Tools Y. Dai et al. https://doi.org/10.3390/machines10020145
4. Unbalanced vibration suppression of a rotor with Rotating-Frequency faults using signal purification Y. Zhang et al. https://doi.org/10.1016/j.ymssp.2023.110153
5. Balancing multiple speeds flexible rotors without trial weights using multi-objective optimization F. Yang et al. https://doi.org/10.1007/s40430-024-05065-9
6. A Synchronous Holo-Balancing Method for Flexible Rotors Based on the Modified Initial Phase Vector Z. Lei et al. https://doi.org/10.1016/j.inffus.2022.09.013
7. HLSM-MIPV Algorithm of unbalance vibration suppression of dual-rotor in contra-rotating propfan D. Wang et al. https://doi.org/10.1016/j.jsv.2024.118761
8. Self-Identification and Balancing for AMB-Rotor System of Turbomolecular Pumps Y. Yin et al. https://doi.org/10.1109/TMECH.2024.3432184
9. Optimal dynamic balancing of rotating mechanical system using equimomental mass redistribution K. Harshwerdhan et al. https://doi.org/10.1080/15397734.2026.2627625
10. Mechanical rotor unbalance monitoring based on system identification and signal processing approaches C. Puerto-Santana et al. https://doi.org/10.1016/j.jsv.2022.117313
11. Balancing of rotating machines based on the Kriging surrogate approach M. Sousa Reis et al. https://doi.org/10.1177/09544062251352620
12. Research on Pneumatic–liquid On-Line Automatic Balance Technology for High-End Turbine Units X. Pan et al. https://doi.org/10.3390/machines10090744
13. Dynamic balancing of multispeed multidisk rotor Y. Guo et al. https://doi.org/10.1007/s12206-023-0403-z
14. Active control of flexible rotors using deep reinforcement learning with application of multi-actor-critic deep deterministic policy gradient M. Ahmed et al. https://doi.org/10.1016/j.engappai.2023.106593
15. Research on dynamic balance optimization method of flexible rotor based on GWO F. Zhang et al. https://doi.org/10.1088/1361-6501/ad5036
16. An Optimized Modal Balancing Approach for a Flexible Rotor Using a Vibration Response While the Rotor Is Speeding Up L. Li et al. https://doi.org/10.1155/2022/5261279
17. Flexible rotor unbalance fault location method based on transfer learning from simulation to experiment data S. Han et al. https://doi.org/10.1088/1361-6501/acf67e
18. Study on the influence of combined unbalanced phase difference on rotor vibration response and high-speed dynamic balancing F. Zhang et al. https://doi.org/10.1177/10775463251342286
19. The influence of unbalance identification position on the transient dynamic balancing of a single-disk rotor without trial weights J. Zhao et al. https://doi.org/10.1177/10775463251407650
20. Continuous Rotor Dynamics of Multi-Disc and Multi-Span Rotors: A Theoretical and Numerical Investigation of the Identification of Rotor Unbalance from Unbalance Responses A. Wang et al. https://doi.org/10.3390/app12083865
21. A prediction method for micro-motor rotor unbalance based on the InceptionV3- Convolutional block attention module model H. Zhang et al. https://doi.org/10.1016/j.engappai.2026.114903