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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:

Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task
Ruyi Huang, Jipu Li, Yixiao Liao, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 123

Showing 26-50 of 123 citing articles:

Multiattention-Based Feature Aggregation Convolutional Networks With Dual Focal Loss for Fault Diagnosis of Rotating Machinery Under Data Imbalance Conditions
Yadong Xu, Sheng Li, Xiaoan Yan, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 8
Dual-Attention Generative Adversarial Networks for Fault Diagnosis Under the Class-Imbalanced Conditions
Rugen Wang, Zhuyun Chen, Shaohui Zhang, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 2, pp. 1474-1485
Closed Access | Times Cited: 48
Fault Diagnosis for Limited Annotation Signals and Strong Noise Based on Interpretable Attention Mechanism
Biao Chen, Tingting Liu, Chao He, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 11865-11880
Closed Access | Times Cited: 31
Multi-source domain generalization for degradation monitoring of journal bearings under unseen conditions
Ning Ding, Hu-Lin Li, Xin Qi, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108966-108966
Closed Access | Times Cited: 27
A New Cross-Domain Bearing Fault Diagnosis Framework Based on Transferable Features and Manifold Embedded Discriminative Distribution Adaption Under Class Imbalance
Xiao Yu, Hongshen Yin, Li Sun, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7525-7545
Closed Access | Times Cited: 20
A novel metric-based model with the ability of zero-shot learning for intelligent fault diagnosis
Caizi Fan, Yongchao Zhang, Hui Ma, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107605-107605
Closed Access | Times Cited: 16
Multi-label deep transfer learning method for coupling fault diagnosis
Yaqi Xiao, Xuanying Zhou, Haiyin Zhou, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111327-111327
Closed Access | Times Cited: 7
A review: the application of generative adversarial network for mechanical fault diagnosis
Weiqing Liao, Ke Yang, Wenlong Fu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062002-062002
Closed Access | Times Cited: 7
A Unified Label Noise-Tolerant Framework of Deep Learning-Based Fault Diagnosis via a Bounded Neural Network
Sudao He, Wai Kei Ao, Yi‐Qing Ni
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 5
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 5
HeMTAN: Hybrid task-adapted experts-based multi-task attention network for unseen compound fault decoupling diagnosis of rotating machinery
Jimeng Li, Wei Wang, Sai Zhong, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124189-124189
Closed Access | Times Cited: 5
Unsupervised Continual Source-Free Network for Fault Diagnosis of Machines Under Multiple Diagnostic Domains
Jipu Li, Ke Yue, Ruyi Huang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8292-8303
Closed Access | Times Cited: 15
Untrained Compound Fault Diagnosis for Planetary Gearbox Based on Adaptive Learning VMD and DSSECNN
Xiaojia Kong, Liang Meng, Yuanhao Su, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11838-11854
Closed Access | Times Cited: 15
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing
Zisheng Wang, Jianping Xuan, Tielin Shi
Expert Systems with Applications (2024), pp. 125594-125594
Closed Access | Times Cited: 4
A long-short-term feature extraction network based on soft-parameter-sharing for high-speed train bogies multi-object fault diagnosis under long-tailed distribution
Yijin Liu, Jinglong Chen, Tongyang Pan, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126409-126409
Closed Access
Self-adaptive Single and Simultaneous Fault Diagnosis for Rotating Machinery via Redefined Signal Quality Indicator and Parallel Ensemble Network
Weixiong Jiang, Kaiwei Yu, Jun Wu, et al.
Applied Soft Computing (2025), pp. 112737-112737
Closed Access
Mechanical compound fault diagnosis via suppressing intra-class dispersions: A deep progressive shrinkage perspective
Baihong Zhong, Minghang Zhao, Shisheng Zhong, et al.
Measurement (2022) Vol. 199, pp. 111433-111433
Closed Access | Times Cited: 20
Zero-Shot Compound Fault Diagnosis Method Based on Semantic Learning and Discriminative Features
Juan Xu, Haiqiang Zhang, Long Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 12
Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network
Ruonan Liu, Xiao Dong, Di Lin, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22869-22879
Closed Access | Times Cited: 3
Remaining useful life estimation of bearing via temporal convolutional networks enhanced by a gated convolutional unit
Yujie Qin, Fanfan Gan, Baizhan Xia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108308-108308
Closed Access | Times Cited: 3
An Efficient Incremental Learning of Bearing Fault Imbalanced Data Set via Filter StyleGAN
Yinjun Wang, Liling Zeng, Liming Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 25
Deep Convolutional Neural Network Probability Imaging for Plate Structural Health Monitoring Using Guided Waves
Bin Zhang, Xiaobin Hong, Yuan Liu
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 23
Clustering Federated Learning for Bearing Fault Diagnosis in Aerospace Applications with a Self-Attention Mechanism
Weihua Li, Wansheng Yang, Gang Jin, et al.
Aerospace (2022) Vol. 9, Iss. 9, pp. 516-516
Open Access | Times Cited: 17
Sparse Bayesian Learning Approach for Compound Bearing Fault Diagnosis
Zheng Cao, Jisheng Dai, Weichao Xu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1562-1574
Closed Access | Times Cited: 9
A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis
Weihua Li, Jingke He, Huibin Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 9

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