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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:

The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network
Xuejun Liu, Wei Sun, Hongkun Li, et al.
Energies (2022) Vol. 15, Iss. 13, pp. 4614-4614
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm
Phuong Nguyen Thanh, Ming-Yuan Cho
Advanced Engineering Informatics (2024) Vol. 62, pp. 102644-102644
Closed Access | Times Cited: 10
Rotor Fault Diagnosis Method Using CNN-Based Transfer Learning with 2D Sound Spectrogram Analysis
Haiyoung Jung, Sugi Choi, Bohee Lee
Electronics (2023) Vol. 12, Iss. 3, pp. 480-480
Open Access | Times Cited: 16
Physics-informed Time-Frequency Fusion Network with Attention for Noise-Robust Bearing Fault Diagnosis
Yejin Kim, Young‐Keun Kim
IEEE Access (2024) Vol. 12, pp. 12517-12532
Open Access | Times Cited: 5
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Hydraulic Turbine Fault Diagnosis Method Based on Synchrosqueezed Wavelet Transform and SE-ResNet
Ye Liu, Yanhe Xu, Jie Liu, et al.
Water (2025) Vol. 17, Iss. 3, pp. 447-447
Open Access
Self-supervised learning for vehicle bearing fault diagnosis based on time–frequency dual-domain contrast and fusion
Deqiang He, Yuan Xu, Haimeng Sun, et al.
Nonlinear Dynamics (2025)
Closed Access
Optimization of Variational Mode Decomposition-Convolutional Neural Network-Bidirectional Long Short Term Memory Rolling Bearing Fault Diagnosis Model Based on Improved Dung Beetle Optimizer Algorithm
Weiqing Sun, Yue Wang, Xingyi You, et al.
Lubricants (2024) Vol. 12, Iss. 7, pp. 239-239
Open Access | Times Cited: 4
Research on Rolling Bearing Fault Diagnosis Method Based on ECA-MRANet
Kai Wang, Bo Gao, Shijie Shan, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 551-551
Open Access | Times Cited: 3
Integrating self-attention mechanisms in deep learning: A novel dual-head ensemble transformer with its application to bearing fault diagnosis
Qing Snyder, Qingtang Jiang, Erin E. Tripp
Signal Processing (2024) Vol. 227, pp. 109683-109683
Closed Access | Times Cited: 3
A Study of Noise Effect in Electrical Machines Bearing Fault Detection and Diagnosis Considering Different Representative Feature Models
Dimitrios A. Moysidis, Georgios D. Karatzinis, Yiannis S. Boutalis, et al.
Machines (2023) Vol. 11, Iss. 11, pp. 1029-1029
Open Access | Times Cited: 8
Voiceprint Fault Diagnosis of Converter Transformer under Load Influence Based on Multi-Strategy Improved Mel-Frequency Spectrum Coefficient and Temporal Convolutional Network
Hui Li, Q. Yao, Xin Li
Sensors (2024) Vol. 24, Iss. 3, pp. 757-757
Open Access | Times Cited: 2
Research on fault diagnosis of rolling bearing based on improved convolutional neural network with sparrow search algorithm
Min Wan, Yujie Xiao, Jingran Zhang
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Open Access | Times Cited: 2
Multiscale attention feature fusion network for rolling bearing fault diagnosis under variable speed conditions
Jiayi Shen, Dongfang Zhao, Shulin Liu, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 523-535
Closed Access | Times Cited: 2
A Fusing Domain Feature and Sharing Label Space-Based Fault Diagnosis Approach for Different Distribution and Unlabeled Rolling Bearing Sample
Xuejun Liu, Wei Sun, Hongkun Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 5
Time-Frequency Multi-Domain 1D Convolutional Neural Network with Channel-Spatial Attention for Noise-Robust Bearing Fault Diagnosis
Yejin Kim, Young‐Keun Kim
Sensors (2023) Vol. 23, Iss. 23, pp. 9311-9311
Open Access | Times Cited: 5
A stable and robust fault diagnosis method for bearing using lightweight batch normalization-free residual network
B.H. Zhu, Chunmeng He
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106115-106115
Closed Access | Times Cited: 1
Research on High-Speed Train bearing Fault Diagnosis Method based on Domain Adversarial Transfer Learning
Yingyong Zou, Wenzhuo Zhao, Tao Liu, et al.
(2024)
Open Access | Times Cited: 1
Unsupervised Signal Anomaly Transformer method: Achieving bearing life anomaly detection without the need for failure samples
Ping Yu, Mengmeng Ping, Jialin Ma, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108940-108940
Closed Access | Times Cited: 1
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Research on High-Speed Train Bearing Fault Diagnosis Method Based on Domain-Adversarial Transfer Learning
Yingyong Zou, Wenzhuo Zhao, Tao Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8666-8666
Open Access
Advancing UAV Sensor Fault Diagnosis Based on Prior Knowledge and Graph Convolutional Network
Hui Li, Chaoyin Chen, Tiancai Wan, et al.
Machines (2024) Vol. 12, Iss. 10, pp. 716-716
Open Access
Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN
Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 12, pp. 544-544
Open Access
Optimization of VMD-CNN-BiLSTM Rolling Bearing Fault Diagnosis Model Based on Improved DBO Algorithm
Weiqing Sun, Yue Wang, Xingyi You, et al.
Research Square (Research Square) (2024)
Open Access
Fault Types and Sizes Recognition of Rolling Bearing Based on Multi-Task Semi-Supervised Learning
Ziyue Jiang, Jianbo Yu
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 17907-17916
Closed Access
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