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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:

Prediction of Remaining Useful Life of Rolling Bearings Based on Multiscale Efficient Channel Attention CNN and Bidirectional GRU
Ping Ma, Guangfu Li, Hongli Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 11

Showing 11 citing articles:

Enhancing Rolling Bearing Fault Diagnosis in Motors using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification
Chang Yong, Guangqing Bao
IEEE Access (2024) Vol. 12, pp. 78463-78479
Open Access | Times Cited: 6
A Deep Parallel Spatiotemporal Network based on Feature Cross-fusion for Remaining Useful Life Prediction of Aero Engine
Chenchen Wu, Jialong He, Guofa Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-13
Closed Access
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Sujan Ghimire, Ravinesh C. Deo, Ningbo Jiang, et al.
Atmospheric Environment (2025), pp. 121079-121079
Closed Access
A physically interpretable entropy-based model for monitoring rubber wear under water-lubricated conditions
Bolin Chen, Xiaojie Tong, Mengwei Lu, et al.
Ocean Engineering (2025) Vol. 322, pp. 120386-120386
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
Continuous Remaining Useful Life Prediction by Self-Guided Attention Convolutional Neural Network and Memory Consciousness Adjustment
Jianghong Zhou, Junyu Qi, Dingliang Chen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31947-31958
Closed Access | Times Cited: 2
Remaining useful life prognostics of bearings based on convolution attention networks and enhanced Transformer
Sun Ning, Jiahui Tang, Xiaoling Ye, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38317-e38317
Open Access | Times Cited: 1
Multivariate time series generation based on dual-channel Transformer conditional GAN for industrial remaining useful life prediction
Zhizheng Zhang, Hui Gao, Wenxu Sun, et al.
Knowledge-Based Systems (2024), pp. 112749-112749
Closed Access | Times Cited: 1
A Novel prediction of remaining useful life time of rolling bearings using Convolutional Neural network with Bidirectional Long Short Term Memory
R. Balamurugan, Dattatray G. Takale, M. Muzammil Parvez, et al.
Journal of Engineering Research (2024)
Open Access
Cross-domain Remaining Useful Life prediction under unseen condition via Mixed Data and Domain Generalization
Lei Xu, Huikai Shao, Zixiang Tang, et al.
Measurement (2024) Vol. 244, pp. 116451-116451
Closed 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
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