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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 26-50 of 270 citing articles:

Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review
Zhibin Zhao, Jingyao Wu, Tianfu Li, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 98
Online detection for bearing incipient fault based on deep transfer learning
Wentao Mao, Ling Ding, Siyu Tian, et al.
Measurement (2019) Vol. 152, pp. 107278-107278
Closed Access | Times Cited: 97
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
Remaining useful life estimation using deep metric transfer learning for kernel regression
Yifei Ding, Minping Jia, Qiuhua Miao, et al.
Reliability Engineering & System Safety (2021) Vol. 212, pp. 107583-107583
Closed Access | Times Cited: 96
Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method
Tao Hu, Yiming Guo, Liudong Gu, et al.
Reliability Engineering & System Safety (2021) Vol. 219, pp. 108265-108265
Closed Access | Times Cited: 77
An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data
Xingqiu Li, Hongkai Jiang, Yuan Liu, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107652-107652
Closed Access | Times Cited: 73
Integrated Multiple Directed Attention-Based Deep Learning for Improved Air Pollution Forecasting
Abdelkader Dairi, Fouzi Harrou, Sofiane Khadraoui, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-15
Closed Access | Times Cited: 72
Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation
Yifei Ding, Minping Jia, Yudong Cao
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 70
A hybrid prognostic method based on gated recurrent unit network and an adaptive Wiener process model considering measurement errors
Zhe Chen, Tangbin Xia, Yanting Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 158, pp. 107785-107785
Closed Access | Times Cited: 66
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics
Peng Ding, Minping Jia, Xiaoli Zhao
Applied Soft Computing (2021) Vol. 104, pp. 107211-107211
Closed Access | Times Cited: 63
Multivariate gated recurrent unit for battery remaining useful life prediction: A deep learning approach
Reza Rouhi Ardeshiri, Chengbin Ma
International Journal of Energy Research (2021) Vol. 45, Iss. 11, pp. 16633-16648
Open Access | Times Cited: 63
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries
Guijun Ma, Songpei Xu, Tao Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 1, pp. 759-769
Closed Access | Times Cited: 61
A sparse domain adaption network for remaining useful life prediction of rolling bearings under different working conditions
Mengqi Miao, Jianbo Yu, Zhihong Zhao
Reliability Engineering & System Safety (2021) Vol. 219, pp. 108259-108259
Closed Access | Times Cited: 57
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions
Jichao Zhuang, Minping Jia, Xiaoli Zhao
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108599-108599
Closed Access | Times Cited: 57
A Systematic Guide for Predicting Remaining Useful Life with Machine Learning
Tarek Berghout, Mohamed Benbouzid
Electronics (2022) Vol. 11, Iss. 7, pp. 1125-1125
Open Access | Times Cited: 51
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions
Yifei Ding, Minping Jia, Yudong Cao, et al.
Knowledge-Based Systems (2022) Vol. 261, pp. 110199-110199
Closed Access | Times Cited: 46
Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification
Prateek Singh, Ambalika Sharma
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Open Access | Times Cited: 42
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
Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction
Yimin Jiang, Tangbin Xia, Dong Wang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 10, pp. 7219-7229
Closed Access | Times Cited: 39
Remaining Useful Life prediction of rolling bearings based on risk assessment and degradation state coefficient
Qiang Li, Changfeng Yan, Guangyi Chen, et al.
ISA Transactions (2022) Vol. 129, pp. 413-428
Closed Access | Times Cited: 37
Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Ruiguan Lin, Huawei Wang, Minglan Xiong, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110419-110419
Closed Access | Times Cited: 24
A Novel Transfer Ensemble Learning Framework for Remaining Useful Life Prediction Under Multiple Working Conditions
Jilun Tian, Yuchen Jiang, Jiusi Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects
Lei Ren, Zidi Jia, Yuanjun Laili, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023), pp. 1-20
Open Access | Times Cited: 22
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
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors
Jichao Zhuang, Minping Jia, Yifei Ding, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107946-107946
Closed Access | Times Cited: 52

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