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OpenAlex Citation Counts

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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:

Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning
Wentao Mao, Jianliang He, Ming J. Zuo
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 4, pp. 1594-1608
Closed Access | Times Cited: 270

Showing 1-25 of 270 citing articles:

Industrial applications of digital twins
Yuchen Jiang, Shen Yin, Kuan Li, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2021) Vol. 379, Iss. 2207, pp. 20200360-20200360
Open Access | Times Cited: 265
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
Zuozhou Pan, Zong Meng, Zijun Chen, et al.
Mechanical Systems and Signal Processing (2020) Vol. 144, pp. 106899-106899
Closed Access | Times Cited: 245
A Survey of Predictive Maintenance: Systems, Purposes and Approaches
Yongyi Ran, Xin Zhou, Pengfeng Lin, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 176
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors
Han Cheng, Xianguang Kong, Gaige Chen, et al.
Measurement (2020) Vol. 168, pp. 108286-108286
Closed Access | Times Cited: 166
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
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
Carlos Ferreira, Gil Gonçalves
Journal of Manufacturing Systems (2022) Vol. 63, pp. 550-562
Open Access | Times Cited: 163
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
Yuxin Wen, Md Fashiar Rahman, Honglun Xu, et al.
Measurement (2021) Vol. 187, pp. 110276-110276
Open Access | Times Cited: 145
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions
Zhang We, Xiang Li, Hui Ma, et al.
Reliability Engineering & System Safety (2021) Vol. 211, pp. 107556-107556
Closed Access | Times Cited: 130
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty
Jiusi Zhang, Yuchen Jiang, Xiang Li, et al.
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108357-108357
Closed Access | Times Cited: 114
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108986-108986
Closed Access | Times Cited: 111
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 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
Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing
Shaojiang Dong, Jiafeng Xiao, Xiaolin Hu, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108914-108914
Closed Access | Times Cited: 85
Bayesian deep-learning for RUL prediction: An active learning perspective
Rong Zhu, Yuan Chen, Weiwen Peng, et al.
Reliability Engineering & System Safety (2022) Vol. 228, pp. 108758-108758
Closed Access | Times Cited: 84
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction
Ruibing Jin, Zhenghua Chen, Keyu Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 82
A survey of transfer learning for machinery diagnostics and prognostics
Siya Yao, Qi Kang, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2871-2922
Closed Access | Times Cited: 74
An overview of data-driven battery health estimation technology for battery management system
Minzhi Chen, Guijun Ma, Weibo Liu, et al.
Neurocomputing (2023) Vol. 532, pp. 152-169
Closed Access | Times Cited: 73
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
Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation
Yifei Ding, Peng Ding, Xiaoli Zhao, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 5, pp. 4143-4152
Closed Access | Times Cited: 67
Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data
Xiang Li, Zhang We, Xu Li, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 1903-1913
Closed Access | Times Cited: 64
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios
Jiaxian Chen, Kairu Wen, Jingyan Xia, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22915-22925
Closed Access | Times Cited: 14
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction
Mohamed Ragab, Zhenghua Chen, Min Wu, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 8, pp. 5239-5249
Open Access | Times Cited: 121
Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network
Yiwei Cheng, Jun Wu, Haiping Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-12
Closed Access | Times Cited: 109
Machine learning based anomaly detection and classification of acoustic emission events for wear monitoring in sliding bearing systems
Florian König, Christopher Sous, Achraf Ouald Chaib, et al.
Tribology International (2020) Vol. 155, pp. 106811-106811
Closed Access | Times Cited: 103
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