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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:

Prognostics Analysis of Rolling Bearing Based on Bi-Directional LSTM and Attention Mechanism
Maan Singh Rathore, S. P. Harsha
Journal of Failure Analysis and Prevention (2022) Vol. 22, Iss. 2, pp. 704-723
Closed Access | Times Cited: 20

Showing 20 citing articles:

Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 150
A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis
Ruixin Wang, Hongkai Jiang, Ke Zhu, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101750-101750
Closed Access | Times Cited: 95
Rolling bearing prognostic analysis for domain adaptation under different operating conditions
Maan Singh Rathore, S. P. Harsha
Engineering Failure Analysis (2022) Vol. 139, pp. 106414-106414
Closed Access | Times Cited: 31
Fault diagnosis of rotating machinery using novel self-attention mechanism TCN with soft thresholding method
Li Ding, Qing Li
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 047001-047001
Closed Access | Times Cited: 7
Federated temporal-context contrastive learning for fault diagnosis using multiple datasets with insufficient labels
Haowen Zheng, Hui Liu, Zhenyu Liu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102432-102432
Closed Access | Times Cited: 6
Remaining Useful Life Prediction of Rotating Machinery Bearings Based on Adaptive Multi-domain Feature Selection and Nested LSTM
Ming Zhao, Jinxin Wu, Xianwang Li
Journal of Failure Analysis and Prevention (2025)
Closed Access
Performance Degradation Prediction Using LSTM with Optimized Parameters
Yawei Hu, Ran Wei, Yang Yang, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2407-2407
Open Access | Times Cited: 17
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
Degradation trend feature generation improved rotating machines RUL prognosis method with limited run-to-failure data
Kai Zhang, Yantao Liu, Yisheng Zou, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 075019-075019
Closed Access | Times Cited: 6
Roller Bearing Failure Analysis using Gaussian Mixture Models and Convolutional Neural Networks
Maan Singh Rathore, S. P. Harsha
Journal of Failure Analysis and Prevention (2022) Vol. 22, Iss. 5, pp. 1853-1871
Closed Access | Times Cited: 9
A novel deep learning model for fault diagnosis of rolling-element bearing based on convolution neural network and recurrent neural network
Xudong Song, Xinran Lyu, S.-W. Sun, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2023)
Closed Access | Times Cited: 5
A remaining useful life prediction method for rotating machinery based on interactive BiLSTM
Guofa Li, Lei Yu, Jialong He, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016128-016128
Closed Access | Times Cited: 1
Fault Prediction of Bearing Based on Dual Dimensional Perception and Composite Gated Recurrent Network
Wang Wei-ping, Shibei Xue
IEEE Access (2024) Vol. 12, pp. 181509-181520
Open Access | Times Cited: 1
Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation
Maan Singh Rathore, S. P. Harsha
Journal of Computing and Information Science in Engineering (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 3
Machinery Prognostics and High-Dimensional Data Feature Extraction Based on A Transformer Self-Attention Transfer Network
Shilong Sun, Tengyi Peng, Haodong Huang
(2023)
Open Access | Times Cited: 2
Remaining Useful Life Prediction of Wind Turbine Gearbox Bearings with Limited Samples Based on Prior Knowledge and PI-LSTM
Zheng Wang, Peng Gao, Xuening Chu
Sustainability (2022) Vol. 14, Iss. 19, pp. 12094-12094
Open Access | Times Cited: 4
Outer Race Bearing Health Prognosis Using Feature Extraction and Continuous Wavelet Transform
Ilham Bouaissi, Ali Rezig, Said Touati, et al.
Lecture notes in electrical engineering (2024), pp. 481-491
Closed Access
A Bayesian-optimized Hybrid Neural Network Based on CNN and BiLSTM for Predictive Maintenance of Diesel Generator
Hao Tang, Xing Cui, Jiaxin Zhu, et al.
(2023), pp. 17-22
Closed Access | Times Cited: 1
Research on Long Life Product Prognostics Technology Based on Deep Learning and Statistical Information Fusion
Nan Yang, Guanghao Ren, Ruishi Lin, et al.
Lecture notes in computer science (2023), pp. 3-13
Closed Access | Times Cited: 1
Machinery Prognostics and High-Dimensional Data Feature Extraction Based on a Transformer Self-Attention Transfer Network
Shilong Sun, Tengyi Peng, Haodong Huang
Sensors (2023) Vol. 23, Iss. 22, pp. 9190-9190
Open Access | Times Cited: 1
A Comprehensive Study of Fast Fourier Transform for Bearing Fault Diagnosis with Long Short-Term Memory Networks
Taifeng Li, Zhijie Gao, Yifan Li, et al.
(2023), pp. 876-879
Closed Access
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