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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:

Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter
Lingli Cui, Xin Wang, Huaqing Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 6, pp. 2858-2867
Closed Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

A systematic review of deep transfer learning for machinery fault diagnosis
Chuan Li, Shaohui Zhang, Qin Yi, et al.
Neurocomputing (2020) Vol. 407, pp. 121-135
Closed Access | Times Cited: 348
Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism
Ling Xiang, Penghe Wang, Xin Yang, et al.
Measurement (2021) Vol. 175, pp. 109094-109094
Closed Access | Times Cited: 268
Dual-Aspect Self-Attention Based on Transformer for Remaining Useful Life Prediction
Zhizheng Zhang, Wen Song, Qiqiang Li
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Open Access | Times Cited: 164
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107927-107927
Closed Access | Times Cited: 146
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions
Liang Chen, Qi Li, Changqing Shen, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 3, pp. 1790-1800
Open Access | Times Cited: 137
Remaining useful life prediction of bearings by a new reinforced memory GRU network
Jianghong Zhou, Yi Qin, Dingliang Chen, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101682-101682
Closed Access | Times Cited: 84
A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction
Mohamed Elmahallawy, Tarek Elfouly, A.T. Alouani, et al.
IEEE Access (2022) Vol. 10, pp. 119040-119070
Open Access | Times Cited: 76
A Novel Robust Dual Unscented Particle Filter Method for Remaining Useful Life Prediction of Rolling Bearings
Lingli Cui, Wenjie Li, Dongdong Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 16
Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task
Ruyi Huang, Jipu Li, Yixiao Liao, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 123
An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network
Li Shi, Huaqing Wang, Liuyang Song, et al.
Measurement (2020) Vol. 165, pp. 108122-108122
Closed Access | Times Cited: 108
Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit
Zijun Que, Xiaohang Jin, Zhengguo Xu
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 96
Artificial intelligence in prognostics and health management of engineering systems
Sunday Ochella, Mahmood Shafiee, Fateme Dinmohammadi
Engineering Applications of Artificial Intelligence (2021) Vol. 108, pp. 104552-104552
Open Access | Times Cited: 91
Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data
Ruyi Huang, Jipu Li, Weihua Li, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 5, pp. 2304-2314
Closed Access | Times Cited: 79
Moment matching-based intraclass multisource domain adaptation network for bearing fault diagnosis
Yu Xia, Changqing Shen, Dong Wang, et al.
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108697-108697
Closed Access | Times Cited: 77
An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability
Shujie Liu, Lexian Fan
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108182-108182
Closed Access | Times Cited: 75
Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis
Junbin Chen, Ruyi Huang, Kun Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 68
Digital Twin-Driven Remaining Useful Life Prediction for Gear Performance Degradation: A Review
Bin He, Long Liu, Dong Zhang
Journal of Computing and Information Science in Engineering (2021) Vol. 21, Iss. 3
Closed Access | Times Cited: 66
Bearing Remaining Useful Life Prediction Based on Regression Shapalet and Graph Neural Network
Xiaoyu Yang, Ying Zheng, Yong Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 55
Degradation modeling and RUL prediction with Wiener process considering measurable and unobservable external impacts
Shuyi Zhang, Qingqing Zhai, Yaqiu Li
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109021-109021
Closed Access | Times Cited: 51
Health state assessment of bearing with feature enhancement and prediction error compensation strategy
Yong Zhang, Jiahua Sun, Jing Zhang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109573-109573
Open Access | Times Cited: 49
Rolling Bearing Fault Diagnosis Based on Improved GAN and 2-D Representation of Acoustic Emission Signals
Minh Pham, Jong-Myon Kim, Cheol Hong Kim
IEEE Access (2022) Vol. 10, pp. 78056-78069
Open Access | Times Cited: 45
Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction
Tao Jing, Pai Zheng, Liqiao Xia, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101781-101781
Closed Access | Times Cited: 44
Comprehensive Remaining Useful Life Prediction for Rolling Element Bearings Based on Time-Varying Particle Filtering
Lingli Cui, Wenjie Li, Xin Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 43
Automatic multi-differential deep learning and its application to machine remaining useful life prediction
Sheng Xiang, Yi Qin, Fuqiang Liu, et al.
Reliability Engineering & System Safety (2022) Vol. 223, pp. 108531-108531
Closed Access | Times Cited: 41
Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings
Fei Jiang, Kang Ding, Guolin He, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 41
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