OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN
Caizi Fan, Pengfei Wang, Hui Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124697-124697
Closed Access | Times Cited: 8
Caizi Fan, Pengfei Wang, Hui Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124697-124697
Closed Access | Times Cited: 8
Showing 8 citing articles:
Multi-stage degradation feature with dynamic feedback mechanism for remaining useful life prediction
Chaoge Wang, Jiechen Sun, Xiangyi Meng, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-34
Closed Access
Chaoge Wang, Jiechen Sun, Xiangyi Meng, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-34
Closed Access
Vibration features and sidebands investigation of a planetary gear transmission system under misaligned bearing and damaged cage
Pengfei Wang, Chao Wang, Baogang Wen, et al.
Measurement (2025), pp. 116864-116864
Closed Access
Pengfei Wang, Chao Wang, Baogang Wen, et al.
Measurement (2025), pp. 116864-116864
Closed Access
Digital twin-driven operational CycleGAN-based multiple virtual-physical mappings for remaining useful life prediction under limited life cycle data
Quanning Xu, Zihao Lei, Gu Shu-Long, et al.
Journal of Advanced Research (2025)
Open Access
Quanning Xu, Zihao Lei, Gu Shu-Long, et al.
Journal of Advanced Research (2025)
Open Access
Transformer-based conditional generative transfer learning network for cross domain fault diagnosis under limited data
Xiang Li, Jun Ma, Jiande Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Xiang Li, Jun Ma, Jiande Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-fidelity sub-label-guided transfer network with physically interpretable synthetic datasets for rotor fault diagnosis
Dongmin Lee, J. Lee, Minseok Choi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110467-110467
Closed Access
Dongmin Lee, J. Lee, Minseok Choi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110467-110467
Closed Access
Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations
Jianbo Yu, Zhaomin Lv, Hang Ruan, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102837-102837
Closed Access
Jianbo Yu, Zhaomin Lv, Hang Ruan, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102837-102837
Closed Access
Contrastive learning-enabled digital twin framework for fault diagnosis of rolling bearing
Yongchao Zhang, Xin Zhou, Cheng Gao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015026-015026
Closed Access
Yongchao Zhang, Xin Zhou, Cheng Gao, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015026-015026
Closed Access
A novel imbalance fault diagnosis method based on data augmentation and hybrid deep learning models
Caizi Fan, Yongchao Zhang, Hui Ma, et al.
Structural Health Monitoring (2024)
Closed Access
Caizi Fan, Yongchao Zhang, Hui Ma, et al.
Structural Health Monitoring (2024)
Closed Access
