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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:

SACGNet: A Remaining Useful Life Prediction of Bearing with Self-Attention Augmented Convolution GRU Network
Juan Xu, Shiyu Duan, Weiwei Chen, et al.
Lubricants (2022) Vol. 10, Iss. 2, pp. 21-21
Open Access | Times Cited: 15

Showing 15 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
Interactive Hybrid Model for Remaining Useful Life Prediction With Uncertainty Quantification of Bearing in Nuclear Circulating Water Pump
Wei Cheng, Shushuai Xie, Ji Xing, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2154-2166
Closed Access | Times Cited: 15
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
A deep residual sequence autoencoder for future state estimation and aiding prognostics and diagnostics in machines: a case study of mechanical rolling elements
Bwambale Rashid Ramadhan, Perkgoz Cahit
Neural Computing and Applications (2025)
Closed Access
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
A meta-transfer learning prediction method with few-shot data for the remaining useful life of rolling bearing
Daoming She, Yudan Duan, Zhichao Yang, et al.
Structural Health Monitoring (2025)
Closed Access
AutoML Applied to Time Series Analysis Tasks in Production Engineering
Felix Conrad, Mauritz Mälzer, Felix Lange, et al.
Procedia Computer Science (2024) Vol. 232, pp. 849-860
Open Access | Times Cited: 3
Prediction of Remaining Service Life of Rolling Bearings Based on Convolutional and Bidirectional Long- and Short-Term Memory Neural Networks
Zhidan Zhong, Yao Zhao, Aoyu Yang, et al.
Lubricants (2022) Vol. 10, Iss. 8, pp. 170-170
Open Access | Times Cited: 11
Robust-MBDL: A Robust Multi-Branch Deep-Learning-Based Model for Remaining Useful Life Prediction of Rotating Machines
Khoa Tran, Hai Canh Vu, Lam Pham, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1569-1569
Open Access | Times Cited: 1
Remaining useful life prediction based on a PCA and similarity methods
Chaoqun Duan, Yilin Shen, Kanghao Guo, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035020-035020
Closed Access | Times Cited: 3
Rul Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized Cnn-Lstm Neural Network
Jiaping Shen, Haiting Zhou, Muda Jin, et al.
(2024)
Closed Access
AsdinNorm: A Single-Source Domain Generalization Method for the Remaining Useful Life Prediction of Bearings
Juan Xu, Bin Ma, Weiwei Chen, et al.
Lubricants (2024) Vol. 12, Iss. 5, pp. 175-175
Open Access
Remaining Useful Life Prediction Method for Rolling Bearings Based on CBAM-CNN-BiLSTM
Honggen Zhou, Xiaodie Ren, Li Sun, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2023)
Closed Access | Times Cited: 1
Reaming Useful Life Prediction of Bearings Based on CNN and Encoder Layers
Jin Ye, Tianjiao Lin, Xisen Zhang, et al.
(2022), pp. 1-4
Closed Access | Times Cited: 1
A domain adaptation network with feature scale preservation for remaining useful life prediction of rolling bearings under variable operating conditions
Daoming She, Wang Hu, Hongfei Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 4, pp. 046102-046102
Closed Access
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