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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:

RUL prediction based on GAM–CNN for rotating machinery
Xianjun Du, Wenchao Jia, Ping Yu, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 3
Closed Access | Times Cited: 16

Showing 16 citing articles:

Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM
Bo Sun, Wenting Hu, Hao Wang, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 554-554
Open Access | Times Cited: 1
A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network
Zhenxiao Yi, Shi Wang, Zhaoting Li, et al.
Protection and Control of Modern Power Systems (2024) Vol. 9, Iss. 6, pp. 1-18
Open Access | Times Cited: 6
A lifetime prediction model based on two-path convolution with attention mechanism and bidirectional long short-term memory network
Xianbin Sun, Meiqi Dong, Lin Bai, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056120-056120
Closed Access | Times Cited: 4
Causal dilated Convolution-Based residual DenseNet with channel attention for RUL prediction of rolling bearings
Jimeng Li, Wanmeng Ding, Weilin Mao, et al.
Measurement (2024) Vol. 235, pp. 115012-115012
Closed Access | Times Cited: 4
Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction
Guang-Bin Huang, Wenping Lei, Xinmin Dong, et al.
Machines (2025) Vol. 13, Iss. 1, pp. 43-43
Open Access
Remaining useful life prediction of rolling bearing based on multi-region hypergraph self-attention network
Jianhua Zhong, Haifeng Jiang, Kairong Gu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112331-112331
Closed Access
A review of prognostics and health management techniques in wind energy
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Reliability Engineering & System Safety (2025), pp. 111004-111004
Closed Access
Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks
Ahmed S. Mohamed, Jamil Renno, M. Shadi Mohamed
Expert Systems with Applications (2025), pp. 127632-127632
Open Access
Prediction of lithium-ion battery SOC based on the fusion of MHA and ConvolGRU
Pei Tang, Jusen Hua, Pengchen Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Rotating machine bearing health prognosis using a data driven approach based on KS‐density and BiLSTM
Houssem Habbouche, Tarak Benkedjouh, Yassine Amirat, et al.
IET Science Measurement & Technology (2024)
Closed Access | Times Cited: 2
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 Hybrid Approach for Predicting the Remaining Useful Life of Bearings Based on the RReliefF Algorithm and Extreme Learning Machine
Senhui Wang, Xi Kang, Cheng Wang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 2, pp. 1405-1427
Open Access | Times Cited: 1
Research on Bearing Remaining Useful Life Anti-noise Prediction Based on Fusion of Color-Grayscale Time-Frequency Features
Wenchao Jia, Aimin An, Xianjun Du, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096102-096102
Closed Access | Times Cited: 1
A Novel Temporal Fusion Channel Network with Multi-Channel Hybrid Attention for the Remaining Useful Life Prediction of Rolling Bearings
Cunsong Wang, Junjie Jiang, Heng Qi, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2762-2762
Open Access
A novel remaining useful life prediction method under multiple operating conditions based on attention mechanism and deep learning
Jie Wang, Lu Zhong, Jia Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103083-103083
Closed Access
A Novel State of Health Estimation and Remaining Useful Life Prediction for the Supercapacitors Using Honey Badger Algorithm Assisted Hybrid Neural Network
Zhenxiao Yi, Kai Wang
(2023)
Closed Access | Times Cited: 1
CSAR-MSCNN Based Remaining Useful Life Prediction for Bearings
Wenchao Jia, Aimin An, Xianjun Du, et al.
Research Square (Research Square) (2023)
Open Access
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