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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:

A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset
Shahin Siahpour, Xiang Li, Jay Lee
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis
Zhang We, Ziwei Wang, Xiang Li
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108885-108885
Closed Access | Times Cited: 113
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 prognostic driven predictive maintenance framework based on Bayesian deep learning
Liangliang Zhuang, Ancha Xu, Xiaolin Wang
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109181-109181
Closed Access | Times Cited: 91
A Calibration-Based Hybrid Transfer Learning Framework for RUL Prediction of Rolling Bearing Across Different Machines
Yafei Deng, Shichang Du, Dong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 86
Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data
Rong Zhu, Weiwen Peng, Dong Wang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109628-109628
Closed Access | Times Cited: 81
Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109151-109151
Closed Access | Times Cited: 53
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions
Jipu Li, Ruyi Huang, Zhuyun Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101883-101883
Closed Access | Times Cited: 46
Data-Driven State of Charge Estimation for Power Battery With Improved Extended Kalman Filter
Xingtao Liu, Qiule Li, Li Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 46
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
Lingli Cui, Yongchang Xiao, Dongdong Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109991-109991
Closed Access | Times Cited: 41
Future of generative adversarial networks (GAN) for anomaly detection in network security: A review
Willone Lim, Kelvin S. C. Yong, Lau Bee Theng, et al.
Computers & Security (2024) Vol. 139, pp. 103733-103733
Open Access | Times Cited: 32
Remaining Useful Life Prediction of Turbofan Engines Using CNN-LSTM-SAM Approach
Jie Li, Yuanjie Jia, Mingbo Niu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 9, pp. 10241-10251
Closed Access | Times Cited: 39
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning
Ke Xue, Jun Yang, Ming Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Closed Access | Times Cited: 30
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
Multi-feature spaces cross adaption transfer learning-based bearings piece-wise remaining useful life prediction under unseen degradation data
Zejian Li, De-Jun Cheng, Han-Bing Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102413-102413
Closed Access | Times Cited: 9
Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction
Haodong Li, Peng Cao, X. Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102517-102517
Closed Access | Times Cited: 7
Multi-modal information analysis for fault diagnosis with time-series data from power transformer
Zhikai Xing, Yigang He
International Journal of Electrical Power & Energy Systems (2022) Vol. 144, pp. 108567-108567
Closed Access | Times Cited: 35
Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data
Tianjiao Lin, Liuyang Song, Lingli Cui, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102524-102524
Closed Access | Times Cited: 6
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
Yongbo Cheng, Junheng Qv, Ke Feng, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110188-110188
Closed Access | Times Cited: 6
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
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open 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
A novel cross-scenario transferable RUL prediction network with multisource domain meta transfer learning for wind turbine bearings
Lixiao Cao, Xue‐Ping Wang, Hongyu Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
A meta-transfer learning prediction method with few-shot data for the remaining useful life of rolling bearing
Daoming She, Yudan Duan, Zhichao Yang, et al.
Structural Health Monitoring (2025)
Closed Access
Cross-domain knowledge transfer in industrial process monitoring: A survey
Zheng Chai, Chunhui Zhao, Biao Huang
Journal of Process Control (2025) Vol. 149, pp. 103408-103408
Closed Access
Stochastic Uncertain Degradation Modeling and Remaining Useful Life Prediction Considering Aleatory and Epistemic Uncertainty
Xuerui Cao, Kaixiang Peng
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 13
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