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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:

DWT-LSTM-Based Fault Diagnosis of Rolling Bearings with Multi-Sensors
Kai Gu, Yu Zhang, Xiaobo Liu, et al.
Electronics (2021) Vol. 10, Iss. 17, pp. 2076-2076
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 88
LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS)
Jae Seok, Akeem Bayo Kareem, Jang-Wook Hur
Sensors (2023) Vol. 23, Iss. 2, pp. 1009-1009
Open Access | Times Cited: 33
A fault diagnosis method for nuclear power plant rotating machinery based on adaptive deep feature extraction and multiple support vector machines
Wenzhe Yin, Hong Xia, Xueying Huang, et al.
Progress in Nuclear Energy (2023) Vol. 164, pp. 104862-104862
Closed Access | Times Cited: 16
Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis
Adel Afia, Fawzi Gougam, Walid Touzout, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 10
Closed Access | Times Cited: 14
Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet
Shih-Lin Lin
Sensors (2021) Vol. 21, Iss. 22, pp. 7467-7467
Open Access | Times Cited: 28
Intelligent Fault Diagnosis of Liquid Rocket Engine via Interpretable LSTM with Multisensory Data
Zhang Xiao-guang, Xuanhao Hua, Junjie Zhu, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5636-5636
Open Access | Times Cited: 11
Bias learning improves data driven models for streamflow prediction
Yongen Lin, Dagang Wang, Meng Yue, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101557-101557
Open Access | Times Cited: 11
Intelligent fault diagnosis of rolling bearings based on LSTM with large margin nearest neighbor algorithm
Anas H. Aljemely, Jianping Xuan, Osama Al-Azzawi, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 22, pp. 19401-19421
Closed Access | Times Cited: 18
Fault Detection and Diagnosis for Liquid Rocket Engines Based on Long Short-Term Memory and Generative Adversarial Networks
Lingzhi Deng, Yuqiang Cheng, Yehui Shi
Aerospace (2022) Vol. 9, Iss. 8, pp. 399-399
Open Access | Times Cited: 16
Intelligent fault classification of air compressors using Harris hawks optimization and machine learning algorithms
Adel Afia, Fawzi Gougam, Chemseddine Rahmoune, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 2, pp. 359-378
Closed Access | Times Cited: 10
Rolling Bearing Residual Useful Life Prediction Model Based on the Particle Swarm Optimization-Optimized Fusion of Convolutional Neural Network and Bidirectional Long–Short-Term Memory–Multihead Self-Attention
Jianzhong Yang, Xinggang Zhang, Song Liu, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2120-2120
Open Access | Times Cited: 3
Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis
Hongbo Que, Xuyan Liu, Siqin Jin, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5165-5165
Open Access | Times Cited: 2
A Novel Method for Fault Migration Diagnosis of Rolling Bearings Based on MSCVIT Model
Xiuyan Liu, Dengfa He, Deyang Guo, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4726-4726
Open Access | Times Cited: 2
A Hybrid 1D-CNN-Bi-LSTM based Model with Spatial Dropout for Multiple Fault Diagnosis of Roller Bearing
Gangavva Choudakkanavar, J. Alamelu Mangai
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access | Times Cited: 12
A Method for Predicting the Remaining Life of Rolling Bearings Based on Multi-Scale Feature Extraction and Attention Mechanism
Changhong Jiang, Xinyu Liu, Yizheng Liu, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3616-3616
Open Access | Times Cited: 11
Dynamic Evaluation of the Degradation Process of Vibration Performance for Machine Tool Spindle Bearings
Liang Ye, Wenhu Zhang, Yongcun Cui, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5325-5325
Open Access | Times Cited: 5
Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Senor Fusion Approach
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
(2023)
Open Access | Times Cited: 5
Real-time intelligent fault diagnosis of rotating machines based on Archimedes algorithm optimised Gradient Boosting
Oğuzhan Daş
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 2, pp. 474-512
Closed Access | Times Cited: 5
End-to-End Continuous/Discontinuous Feature Fusion Method with Attention for Rolling Bearing Fault Diagnosis
Jianbo Zheng, Jian Liao, Zongbin Chen
Sensors (2022) Vol. 22, Iss. 17, pp. 6489-6489
Open Access | Times Cited: 8
Classification of Rolling Bearing Fault Based on Long Short Term Memory Neural Network
Sujit Kumar, D. Ganga
(2023), pp. 1-5
Closed Access | Times Cited: 4
Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
Inventions (2023) Vol. 8, Iss. 6, pp. 140-140
Open Access | Times Cited: 3
Fault Feature Extraction Method for Rolling Bearings Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition
Lijing Wang, Hongjiang Li, Xi Tao, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9441-9441
Open Access | Times Cited: 3
Multisource Data Fusion Diagnosis Method of Rolling Bearings Based on Improved Multiscale CNN
Yulin Jin, Changzheng Chen, Siyu Zhao
Journal of Sensors (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 7
A Machine Learning-Based Approach for Elevator Door System Fault Diagnosis
Taiwang Liang, Chong Chen, Tao Wang, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2022), pp. 28-33
Open Access | Times Cited: 4
An Early Warning Method for the Operating Status of Turbine Sliding Pin System Based on Multi-Step Time Series Prediction
Zongjie Li, Menghui Li, Jiakui Shi, et al.
(2024), pp. 1482-1485
Closed Access
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