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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 novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis
Chuang Wang, Zidong Wang, Lifeng Ma, et al.
Knowledge-Based Systems (2023) Vol. 271, pp. 110516-110516
Closed Access | Times Cited: 20

Showing 20 citing articles:

Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks
Chuanbo Wen, Yipeng Xue, Weibo Liu, et al.
Neurocomputing (2024) Vol. 576, pp. 127355-127355
Closed Access | Times Cited: 16
Submarine pipeline corrosion rate prediction model based on high-dimensional mapping augmentation and residual update gradient forest
Hongbing Liu, Zhenhao Zhu, Jingyang Zhang, et al.
Applied Ocean Research (2025) Vol. 155, pp. 104432-104432
Open Access
A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data
Yipeng Xue, Chuanbo Wen, Zidong Wang, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111205-111205
Closed Access | Times Cited: 17
An Improved Generative Adversarial Network with Feature Filtering for Imbalanced Data
Jun Dou, Yan Song
International Journal of Network Dynamics and Intelligence (2023), pp. 100017-100017
Open Access | Times Cited: 15
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Shen Liu, Jinglong Chen, Yong Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124511-124511
Closed Access | Times Cited: 3
Imbalanced data augmentation for pipeline fault diagnosis: A multi-generator switching adversarial network
Rou Shang, Hongli Dong, Chuang Wang, et al.
Control Engineering Practice (2023) Vol. 144, pp. 105839-105839
Closed Access | Times Cited: 10
An intelligent water supply pipeline leakage detection method based on SV-WTBSVM
Xiaoting Guo, Huadong Song, Yanli Zeng, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046125-046125
Closed Access | Times Cited: 2
Pipeline damage identification in nuclear industry using a particle swarm optimization-enhanced machine learning approach
Qi Jiang, Wenzhong Qu, Xiao Li
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108467-108467
Closed Access | Times Cited: 2
HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines
Dan Liu, Shisheng Zhong, Lin Lin, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112142-112142
Closed Access | Times Cited: 2
Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety
Chengyuan Zhu, Yanyun Pu, Zhuoling Lyu, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112259-112259
Closed Access | Times Cited: 1
Research on a Bearing Fault Diagnosis Method Based on an Improved Wasserstein Generative Adversarial Network
Chengshun Zhu, Wei Lin, Hongji Zhang, et al.
Machines (2024) Vol. 12, Iss. 8, pp. 587-587
Open Access | Times Cited: 1
Metal Surface Defect Detection Based on Metal-YOLOX
Xiao-Li Yue, Jiandong Chen, Guoqiang Zhong
International Journal of Network Dynamics and Intelligence (2023), pp. 100020-100020
Open Access | Times Cited: 5
End-to-End Paired Ambisonic-Binaural Audio Rendering
Yin Zhu, Qiuqiang Kong, Junjie Shi, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 502-513
Closed Access | Times Cited: 1
Domain adaptive networks with limited data for rotating machinery fault diagnosis: a case of study of gears
Xueyi Li, Tianyu Yu, Qiushi He, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125123-125123
Closed Access | Times Cited: 4
Application of Novel SN-1DCNN-LSTM framework in small sample oil and gas pipeline leakage detection
Hongyu Gao, Fenghua Hao, Yiwen Zhang, et al.
Franklin Open (2024) Vol. 6, pp. 100073-100073
Open Access
Finite-Time Fault-Tolerant Control via Fully Actuated System Approaches
Miao Cai, Xiao He, Donghua Zhou
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5506-5517
Closed Access
A priori information-guided generative adversarial network for data augmentation: application to pipeline fault diagnosis
Chuang Guan, Rou Shang, Fan Yang, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access
An Optimal Unsupervised Domain Adaptation Approach With Applications to Pipeline Fault Diagnosis: Balancing Invariance and Variance
Chuang Wang, Zidong Wang, Hongjian Liu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10019-10030
Closed Access
A novel local feature fusion architecture for wind turbine pitch fault diagnosis with redundant feature screening
Chuanbo Wen, Xianbin Wu, Zidong Wang, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 6, pp. 8109-8125
Open Access
Fault stands out in contrast: Zero-shot diagnosis method based on dual-level contrastive fusion network for control moment gyroscopes predictive maintenance
Hebin Liu, Qizhi Xu, Hongyan He
Information Fusion (2024), pp. 102710-102710
Closed Access
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