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:

An intelligent hybrid deep learning model for rolling bearing remaining useful life prediction
Linfeng Deng, Wei Li, Xinhui Yan
Nondestructive Testing And Evaluation (2024), pp. 1-28
Closed Access | Times Cited: 8

Showing 8 citing articles:

RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network
Jiaping Shen, Haiting Zhou, Muda Jin, et al.
Lubricants (2025) Vol. 13, Iss. 2, pp. 81-81
Open Access

Remaining useful life prediction of rolling bearings based on CNN-GRU-MSA with multi-channel feature fusion
Xiaoan Yan, Xiaopeng Jin, Dong Jiang, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-26
Closed Access | Times Cited: 3

Remaining Useful Life of the Rolling Bearings Prediction Method Based on Transfer Learning Integrated with CNN-GRU-MHA
Jianghong Yu, Jingwei Shao, Xionglu Peng, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 9039-9039
Open Access | Times Cited: 1

MSTD: a framework for rolling bearing fault diagnosis based on multi-scale and soft-threshold denoising
Zhiwei Qiao, Dechen Yao, Jianwei Yang, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-21
Closed Access | Times Cited: 1

Enhanced fault diagnosis and remaining useful life prediction of rolling bearings using a hybrid multilayer perceptron and LSTM network model
Kumaran Bharatheedasan, Tanmoy Maity, L.A. Kumaraswamidhas, et al.
Alexandria Engineering Journal (2024) Vol. 115, pp. 355-369
Closed Access | Times Cited: 1

Diagnosis of rotor faults through generative adversarial networks enhanced by embedded wavelet scattering transforms
Qinghua Liu, Qiyu Li, Hui Qian, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-18
Closed Access

Fault migration diagnosis method for rolling bearing based on 2D convolutional neural network
Dongliang Wang, Jiewei He, Xiangyuan Chen, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-14
Closed Access

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