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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:

A self-attention based contrastive learning method for bearing fault diagnosis
Long Cui, Xincheng Tian, Qingzhe Wei, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121645-121645
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Fault vibration model driven fault-aware domain generalization framework for bearing fault diagnosis
Bin Pang, Qiuhai Liu, Zhenli Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102620-102620
Closed Access | Times Cited: 11
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN
Caizi Fan, Pengfei Wang, Hui Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124697-124697
Closed Access | Times Cited: 7
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis
Yu Zhang, Dongying Han, Peiming Shi
Expert Systems with Applications (2024) Vol. 255, pp. 124660-124660
Closed Access | Times Cited: 6
A high-performance rolling bearing fault diagnosis method based on adaptive feature mode decomposition and Transformer
Jiajia Lv, Qiyang Xiao, Xiaodong Zhai, et al.
Applied Acoustics (2024) Vol. 224, pp. 110156-110156
Closed Access | Times Cited: 5
A robust bearing fault diagnosis method based on ensemble learning with adaptive weight selection
Guanghua Fu, X.Z. Wang, Yonghui Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126420-126420
Closed Access
Double-level discriminative domain adaptation network for cross-domain fault diagnosis
Yufeng Li, Xinghan Xu, Lei Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
A Named Entity Recognition Model for Chinese Electricity Violation Descriptions Based on Word-Character Fusion and Multi-Head Attention Mechanisms
Lingwen Meng, Yulin Wang, Yuanjun Huang, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 401-401
Open Access
Fault diagnosis in open circuit of inverters on electrical discharge milling machines using adaptive Gaussian wavelet convolutional network
Jianguo Li, Yonghong Liu, Xinlei Wu, et al.
Measurement (2025) Vol. 248, pp. 116856-116856
Closed Access
A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis
Zhenning Li, Hongkai Jiang, Yutong Dong
Expert Systems with Applications (2025) Vol. 271, pp. 126669-126669
Closed Access
A Review of Deep Learning Applications in Intrusion Detection Systems: Overcoming Challenges in Spatiotemporal Feature Extraction and Data Imbalance
Ya Zhang, Ravie Chandren Muniyandi, Faizan Qamar
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1552-1552
Open Access
MR-FuSN: A Multi-Resolution Selective Fusion Approach for Bearing Fault Diagnosis
Lin Sha, S.M. Tang, Min Wang, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1134-1134
Open Access
A Novel Framework Based on Complementary Views for Fault Diagnosis with Cross-Attention Mechanisms
Xiaorong Liu, Zhonghan Chen, Dongfeng Hu, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 886-886
Open Access
Enhancing robustness of cross machine fault diagnosis via an improved domain adversarial neural network and self-adversarial training
Bin Wang, Pengfei Liang, Lijie Zhang, et al.
Measurement (2025), pp. 117113-117113
Closed Access
Zero-Sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning
Guoqiang Li, Meirong Wei, Defeng Wu, et al.
Expert Systems with Applications (2025), pp. 127080-127080
Closed Access
Memory-Augmented Prototypical Meta-Learning Method for Bearing Fault Identification under Few-Sample Conditions
Xianze Li, Zhitai Xing, Ling Xiang, et al.
Neurocomputing (2025), pp. 129996-129996
Closed Access
Bearing fault diagnosis based on transfer learning with dual-flow manifold ResNet and improved CapsNet
L Yao, Hongwei Wang, Tao Lei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076123-076123
Closed Access | Times Cited: 4
Differgram: A convex optimization-based method for extracting optimal frequency band for fault diagnosis of rotating machinery
Jianchun Guo, Yi Liu, Ronggang Yang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123051-123051
Closed Access | Times Cited: 10
Optimal Robust Time-Domain Feature Based Bearing Fault and Stator Fault Diagnosis
G. Geetha, P. Geethanjali
IEEE Open Journal of the Industrial Electronics Society (2024) Vol. 5, pp. 562-574
Open Access | Times Cited: 3
A frequency channel-attention based vision Transformer method for bearing fault identification across different working conditions
Ling Xiang, Hankun Bing, Xianze Li, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125686-125686
Closed Access | Times Cited: 3
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman Aburakhia, Abdallah Shami, George K. Karagiannidis
(2024)
Open Access | Times Cited: 2
Motor PHM on Edge Computing with Anomaly Detection and Fault Severity Estimation through Compressed Data Using PCA and Autoencoder
Jong Hyun Choi, Sung Kyu Jang, Woon Hyung Cho, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1466-1483
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
Bi-level binary coded fully connected classifier based on residual network 50 with bottom and deep level features for bearing fault diagnosis
Linfei Yin, Zixuan Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108342-108342
Closed Access | Times Cited: 1
Simulation data-driven adaptive frequency filtering focal network for rolling bearing fault diagnosis
Zhen Ming, Baoping Tang, Lei Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109371-109371
Closed Access | Times Cited: 1
A novel intelligent bearing fault diagnosis method based on image enhancement and improved convolutional neural network
Guocai Nie, Zhongwei Zhang, Zonghao Jiao, et al.
Measurement (2024), pp. 116148-116148
Closed Access | Times Cited: 1
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