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:

A hybrid model-based prognostics approach for estimating remaining useful life of rolling bearings
Wei Li, Linfeng Deng
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105012-105012
Open Access | Times Cited: 14

Showing 14 citing articles:

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

Remaining useful life prediction of rolling bearings based on TCN-MSA
Guangā€Jun Jiang, Zheng-Wei Duan, Qi Zhao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025125-025125
Closed Access | Times Cited: 18

Method for predicting remaining useful life of rolling bearings based on dynamic complexity characteristic entropy and quantum neural networks
Yang Liu, Yingchun Wang, Yudong Wang, et al.
Engineering Failure Analysis (2025), pp. 109315-109315
Closed Access

Novel practical predictive maintenance measurement solutions for industrial systems
Ke Feng, Ting-Yang Yu, Qing Ni, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 2, pp. 020203-020203
Closed Access

Remaining life prediction of rolling bearings with secondary feature selection and BSBiLSTM
Feng Song, Zhihai Wang, Xiaoqin Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076127-076127
Closed Access | Times Cited: 3

Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction
Jing-Xiao Liao, Jipu Li, Hangcheng Dong, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11024-11034
Closed Access | Times Cited: 1

SRCAE-STCBiGRU: a fused deep learning model for remaining useful life prediction of rolling bearings
Linfeng Deng, Xinhui Yan, Wei Li
Signal Image and Video Processing (2024)
Closed Access | Times Cited: 1

A novel cross-domain adaption network based on Se-Sk-DenseNet for remaining useful life prediction of rolling bearings under different working conditions
Baosu Guo, Hang Li, Hao Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076114-076114
Open Access

WBUN: An interpretable convolutional neural network with wavelet basis unit embedded for fault diagnosis
Sen Gao, Zhijin Zhang, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086125-086125
Open Access

Hybrid Approaches and Datasets for Remaining Useful Life Prediction: A Review
Maurice Artelt, M. Jerry Weiss, Daniel Dittler, et al.
Procedia CIRP (2024) Vol. 130, pp. 294-300
Open Access

Numerical simulation of control valve flow characteristics based on DE-Bayesian modified turbulence model
Wei Li, Shuxun Li, Jianjun Hou, et al.
Journal of Building Engineering (2024) Vol. 99, pp. 111473-111473
Closed Access

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