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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 Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data
Zixu Chen, Wennian Yu, Liming Wang, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110918-110918
Closed Access | Times Cited: 11

Showing 11 citing articles:

A multi-scale graph convolutional network with contrastive-learning enhanced self-attention pooling for intelligent fault diagnosis of gearbox
Zixu Chen, Jinchen Ji, Wennian Yu, et al.
Measurement (2024) Vol. 230, pp. 114497-114497
Closed Access | Times Cited: 8
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery
Jipu Li, Xiaoge Zhang, Ke Yue, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123836-123836
Closed Access | Times Cited: 5
Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
Hao Luo, Xinyue Wang, Li Zhang
Actuators (2025) Vol. 14, Iss. 1, pp. 39-39
Open Access
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples
Jian Tang, Jiawei Xiao, Wentao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108503-108503
Closed Access | Times Cited: 4
A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103079-103079
Closed Access
Bi-structural spatial–temporal network for few-shot fault diagnosis of rotating machinery
Zixu Chen, Jinchen Ji, Qing Ni, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112378-112378
Closed Access
Extremely imbalanced data intelligent fault diagnosis of rotating impeller with improved denoising diffusion probabilistic models
Zeyu Jiang, Zhaohui Ren, Yongchao Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2024)
Closed Access | Times Cited: 1
Label smoothing regularization-based no hyperparameter domain generalization
Yanmei Wang, Xin Wu, X. Shirley Liu, et al.
Knowledge-Based Systems (2024), pp. 112877-112877
Closed Access | Times Cited: 1
Confused and disentangled distribution alignment for unsupervised universal adaptive object detection
Wenxu Shi, Dan Liu, Zedong Wu, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112085-112085
Closed Access
Learnable Topology Enhanced Heterogeneous Network for Unbalanced Cross-Domain Fault Diagnosis
Zixu Chen, Wennian Yu, Qing Ni, et al.
(2024) Vol. 16, pp. 1-7
Closed Access
Bearing fault diagnosis for variable working conditions via lightweight transformer and homogeneous generalized contrastive learning with inter-class repulsive discriminant
Qiang Zhou, Wengang Ma, Yadong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109548-109548
Closed Access
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