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:

FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing failure detection method
Jairo Viola, YangQuan Chen, Jing Wang
Information Sciences (2020) Vol. 542, pp. 195-211
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 65

Integrating aesthetic and emotional preferences in social robot design: An affective design approach with Kansei Engineering and Deep Convolutional Generative Adversarial Network
Yan Gan, Yingrui Ji, Shuo Jiang, et al.
International Journal of Industrial Ergonomics (2021) Vol. 83, pp. 103128-103128
Closed Access | Times Cited: 91

LEFE-Net: A Lightweight Efficient Feature Extraction Network With Strong Robustness for Bearing Fault Diagnosis
Hairui Fang, Jin Deng, Bo Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 71

Improved colorization and classification of intracranial tumor expanse in MRI images via hybrid scheme of Pix2Pix-cGANs and NASNet-large
Mavra Mehmood, Nasser Alshammari, Saad Alanazi, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 7, pp. 4358-4374
Open Access | Times Cited: 39

A transfer learning strategy based on numerical simulation driving 1D Cycle-GAN for bearing fault diagnosis
Xiaoyang Liu, Shulin Liu, Jiawei Xiang, et al.
Information Sciences (2023) Vol. 642, pp. 119175-119175
Closed Access | Times Cited: 39

Deep Convolution Generative Adversarial Network-Based Electroencephalogram Data Augmentation for Post-Stroke Rehabilitation with Motor Imagery
Fangzhou Xu, Gege Dong, Jincheng Li, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 09
Closed Access | Times Cited: 38

A hybrid transfer learning method for transient stability prediction considering sample imbalance
Xianwen Zhan, Song Han, Na Rong, et al.
Applied Energy (2023) Vol. 333, pp. 120573-120573
Closed Access | Times Cited: 25

Subdomain adaptation joint attention network enabled two-stage strategy towards few-shot fault diagnosis of LRE turbopump
Dongfang Zhao, Shulin Liu, Zhonghua Miao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102366-102366
Closed Access | Times Cited: 10

Augmented Time Regularized Generative Adversarial Network (ATR-GAN) for Data Augmentation in Online Process Anomaly Detection
Yuxuan Li, Zhangyue Shi, Chenang Liu, et al.
IEEE Transactions on Automation Science and Engineering (2021) Vol. 19, Iss. 4, pp. 3338-3355
Closed Access | Times Cited: 54

Field data analysis and risk assessment of gas kick during industrial deepwater drilling process based on supervised learning algorithm
Qishuai Yin, Jin Yang, Mayank Tyagi, et al.
Process Safety and Environmental Protection (2020) Vol. 146, pp. 312-328
Closed Access | Times Cited: 53

A novel assessable data augmentation method for mechanical fault diagnosis under noisy labels
Xin Zhang, Bo Wu, Xi Zhang, et al.
Measurement (2022) Vol. 198, pp. 111114-111114
Closed Access | Times Cited: 29

A Survey of Defect Detection Applications Based on Generative Adversarial Networks
Xiangjie He, Zhengwei Chang, Linghao Zhang, et al.
IEEE Access (2022) Vol. 10, pp. 113493-113512
Open Access | Times Cited: 28

Few-shot fatigue damage evaluation of aircraft structure using neural augmentation and deep transfer learning
Changchang Che, Huawei Wang, Minglan Xiong, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107185-107185
Closed Access | Times Cited: 21

Gradient flow-based meta generative adversarial network for data augmentation in fault diagnosis
Rugen Wang, Zhuyun Chen, Weihua Li
Applied Soft Computing (2023) Vol. 142, pp. 110313-110313
Closed Access | Times Cited: 17

PPA-Net: Pyramid Pooling Attention Network for Multi-Scale Ship Detection in SAR Images
Gang Tang, Hongren Zhao, Christophe Claramunt, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2855-2855
Open Access | Times Cited: 16

Application of generative adversarial networks in image, face reconstruction and medical imaging: challenges and the current progress
Sadeena Sabnam, R. Sivakumar
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 7

Electrical submersible pump fault diagnosis based on 2D transformation of vibration signals and transfer learning of image classification networks
Luciano Henrique Peixoto da Silva, Alexandre Rodrigues, Flávio Miguel Varejão, et al.
Neural Computing and Applications (2025)
Closed Access

Application of Deep Learning in Fault Diagnosis of Rotating Machinery
Wanlu Jiang, Chenyang Wang, Jiayun Zou, et al.
Processes (2021) Vol. 9, Iss. 6, pp. 919-919
Open Access | Times Cited: 36

Application of an Improved DCGAN for Image Generation
Bingqi Liu, Jiwei Lv, Xinyue Fan, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 24

Imbalanced Sample Fault Diagnosis of Rolling Bearing Using Deep Condition Multidomain Generative Adversarial Network
Xuejun Liu, Wei Sun, Hongkun Li, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 2, pp. 1271-1285
Closed Access | Times Cited: 23

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: 15

A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network
Zhiwu Shang, Jie Zhang, Wanxiang Li, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 5, pp. 6377-6407
Closed Access | Times Cited: 14

Generative Convolutional Monitoring Method for Online Flooding Recognition in Packed Towers
Yi Liu, Yuxin Jiang, Zengliang Gao, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 165, pp. 105719-105719
Closed Access | Times Cited: 4

Generative adversarial synthetic neighbors-based unsupervised anomaly detection
Lan Chen, Hong Jiang, Lizhong Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

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