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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:

Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Journal of Intelligent Manufacturing (2021) Vol. 34, Iss. 2, pp. 587-613
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108581-108581
Closed Access | Times Cited: 52
Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109292-109292
Closed Access | Times Cited: 26
Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network
Zhiwen Huang, Jiajie Shao, Jianmin Zhu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 1079-1105
Closed Access | Times Cited: 22
Training under an extreme context: the role of organizational support and adaptability on the motivation transfer and performance after training
Ana Junça Silva, Deolinda Pinto
Personnel Review (2024) Vol. 53, Iss. 3, pp. 743-770
Closed Access | Times Cited: 13
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
Mixup domain adaptations for dynamic remaining useful life predictions
Muhammad Furqon, Mahardhika Pratama, Lin Liu, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111783-111783
Open Access | Times Cited: 7
A novel metric-based model with the ability of zero-shot learning for intelligent fault diagnosis
Caizi Fan, Yongchao Zhang, Hui Ma, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107605-107605
Closed Access | Times Cited: 16
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 5
Machining quality prediction of complex thin-walled parts using multi-task dual domain adaptive deep transfer learning
Pei Wang, Haizhen Tao, Jingshuai Qi, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102640-102640
Closed Access | Times Cited: 5
Dual-drive RUL Prediction of Gear Transmission Systems based on Dynamic Model and Unsupervised Domain Adaption under Zero Sample
Yaoyao Han, Xiaoxi Ding, Fengshou Gu, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110442-110442
Closed Access | Times Cited: 5
Remaining useful life prediction model of cross-domain rolling bearing via dynamic hybrid domain adaptation and attention contrastive learning
Xingchi Lu, Xuejian Yao, Quan Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104172-104172
Closed Access | Times Cited: 5
A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management
Salman Khalid, Jinwoo Song, Muhammad Muzammil Azad, et al.
Mathematics (2023) Vol. 11, Iss. 18, pp. 3837-3837
Open Access | Times Cited: 15
RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network
Jimeng Li, Weilin Mao, Bixin Yang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109854-109854
Closed Access | Times Cited: 13
Uncertainty-Weighted Domain Generalization for Remaining Useful Life Prediction of Rolling Bearings Under Unseen Conditions
S Tong, Yan Han, Xiaolong Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10933-10943
Closed Access | Times Cited: 4
Research on Fault Prediction Method of Elevator Door System Based on Transfer Learning
Jun Pan, Changxu Shao, Yuefang Dai, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2135-2135
Open Access | Times Cited: 4
Remaining useful life prediction across operating conditions based on deep subdomain adaptation network considering the weighted multi-source domain
Chenchen Wu, Jialong He, Wanghao Shen, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112291-112291
Closed Access | Times Cited: 4
Interpretable operational condition attention-informed domain adaptation network for remaining useful life prediction under variable operational conditions
Zihao Lei, Yu Su, Ke Feng, et al.
Control Engineering Practice (2024) Vol. 153, pp. 106080-106080
Closed Access | Times Cited: 4
Neural ODE powered model for bearing remaining useful life predictions with intra- and inter-domain shifts
Tao Hu, Zhenling Mo, Zhenyu Zhang
Advanced Engineering Informatics (2025) Vol. 64, pp. 103077-103077
Closed Access
A Meta-Transfer-Driven Method for Predicting the Remaining Useful Life of Rolling Bearing with Few Shot Data
Daoming She, Yangyang Luo, Yitian Wang, et al.
(2025)
Closed Access
A novel deep transfer learning method based on explainable feature extraction and domain reconstruction
Li Wang, Lucong Zhang, Ling Feng, et al.
Neural Networks (2025), pp. 107401-107401
Closed Access
Prognostics and health management for induction machines: a comprehensive review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 937-962
Closed Access | Times Cited: 11
Production quality prediction of cross-specification products using dynamic deep transfer learning network
Pei Wang, Tao Wang, Sheng Yang, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2567-2592
Closed Access | Times Cited: 8
Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction
Pengcheng Xia, Yixiang Huang, Chengjin Qin, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3459-3477
Closed Access | Times Cited: 8
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