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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:

Machine fault diagnosis with small sample based on variational information constrained generative adversarial network
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101762-101762
Closed Access | Times Cited: 49

Showing 26-50 of 49 citing articles:

A federated cross-machine diagnostic framework for machine-level motors with extreme label shortage
Yiming He, Weiming Shen
Advanced Engineering Informatics (2024) Vol. 61, pp. 102511-102511
Closed Access | Times Cited: 3
A Multiattribute Learning Model for Zero-Sample Mechanical Fault Diagnosis
Li Cai, Hongpeng Yin, Jingdong Lin, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9633-9643
Closed Access | Times Cited: 3
Imbalanced data fault diagnosis method for nuclear power plants based on convolutional variational autoencoding Wasserstein generative adversarial network and random forest
Jun Guo, Yulong Wang, Sun Xiang, et al.
Nuclear Engineering and Technology (2024) Vol. 56, Iss. 12, pp. 5055-5067
Open Access | Times Cited: 3
Fault identification of product design using fuzzy clustering generative adversarial network (FCGAN) model
Yuyang Wang, Qiaowei Xue
Soft Computing (2024) Vol. 28, Iss. 4, pp. 3725-3742
Closed Access | Times Cited: 2
Unsupervised constrained discord detection in IoT-based online crane monitoring
Anandarup Mukherjee, Manu Sasidharan, Manuel Herrera, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102444-102444
Open Access | Times Cited: 2
Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals
Qitong Chen, Qi Li, Sijia Wu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102617-102617
Closed Access | Times Cited: 2
Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery
Taehun Kim, Jin Uk Ko, Jinwook Lee, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102821-102821
Closed Access | Times Cited: 2
Generative Adversarial Networks based on optimal transport: a survey
Bernard Kamsu-Foguem, Shester Gueuwou, Cheick Abdoul Kadir A. Kounta
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 6723-6773
Closed Access | Times Cited: 8
Multi-modal mining of crowd-sourced data: Efficient provision of humanitarian aid to remote regions affected by natural disasters
Sadegh Khanmohammadi, Emadaldin Mohammadi Golafshani, Yu Bai, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 96, pp. 103972-103972
Open Access | Times Cited: 4
A zero-shot fault attribute transfer learning method for compound fault diagnosis of power circuit breakers
Qiuyu Yang, Yuyi Lin, Jiangjun Ruan
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056111-056111
Closed Access | Times Cited: 1
Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1
Analysis of Factors Affecting Common Use of Generative Artificial Intelligence-Based Tools by Machine Learning Methods
Yasin KIRELLİ
International Journal of Computational and Experimental Science and Engineering (2023)
Open Access | Times Cited: 3
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Sequence-Spectrogram Fusion Network for Machinery Diagnosis Through Few-Shot Time-Series Classification
Hao Zhang, Teng Li, Jing Ai, et al.
(2024)
Closed Access
Empirical Analysis of Aeroengine Inter-Shaft Bearing Faults: Multiverse Recurrent Expansion and Data Quality Enhancement Strategies
Tarek Berghout, Mohamed Benbouzid
(2024)
Closed Access
Dynamic simulation-assisted Gaussian mixture alignment approach for fault diagnosis of rotation machinery under small samples
shubo yu, Zhansheng Liu, Gaorong Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096106-096106
Closed Access
A Sparse Convolutional Autoencoding Fault Diagnosis Method Integrating Multiple Regularizers
Maogui Niu, Hongkai Jiang, Xin Wang
(2024), pp. 300-307
Closed Access
Fault Diagnosis of Induction Motors under Limited Data for across Loading by Residual VGG-Based Siamese Network
Hong‐Chan Chang, R. Liu, C.P. Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8949-8949
Open Access
Explainable and interpretable bearing fault classification and diagnosis under limited data
L. Magadán, Cristobal Ruiz-Cárcel, Juan C. Granda, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102909-102909
Open Access
Sequence–spectrogram fusion network for wind turbine diagnosis through few-shot time-series classification
Hao Zhang, Teng Li, Jing Ai, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 102976-102976
Closed Access
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
Abnormal User Behavior Generation based on DCGAN in Zero Trust Network
Yansheng Qu, Jianfei Chen, Ming Li, et al.
Procedia Computer Science (2022) Vol. 214, pp. 1500-1505
Open Access | Times Cited: 2
Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network
Zhenghong Wu, Hongkai Jiang, Sicheng Zhang, et al.
(2023), pp. 105-111
Closed Access
Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method
Zhenning Li, Hongkai Jiang, Shaowei Liu, et al.
(2023), pp. 205-211
Closed Access
LarGAN: A Label Auto-Rescaling Generation Adversarial Network for Rare Surface Defects
Hanxin Zhang, Guan Qin, Ke Xu
Research Square (Research Square) (2023)
Open Access
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