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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:

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
Bo Zhao, Xianmin Zhang, Hai Li, et al.
Knowledge-Based Systems (2020) Vol. 199, pp. 105971-105971
Closed Access | Times Cited: 299

Showing 1-25 of 299 citing articles:

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions
Tianci Zhang, Jinglong Chen, Fudong Li, et al.
ISA Transactions (2021) Vol. 119, pp. 152-171
Closed Access | Times Cited: 368
A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 283
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 185
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors
Han Cheng, Xianguang Kong, Gaige Chen, et al.
Measurement (2020) Vol. 168, pp. 108286-108286
Closed Access | Times Cited: 166
Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, et al.
Mechanical Systems and Signal Processing (2021) Vol. 163, pp. 108139-108139
Closed Access | Times Cited: 166
Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network
Tingli Xie, Xufeng Huang, Seung-Kyum Choi
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 5, pp. 3213-3223
Closed Access | Times Cited: 163
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework
Taotao Zhou, Te Han, Enrique López Droguett
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108525-108525
Closed Access | Times Cited: 153
An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2021) Vol. 50, pp. 101406-101406
Closed Access | Times Cited: 145
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
Pengfei Liang, Wenhui Wang, Xiaoming Yuan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105269-105269
Closed Access | Times Cited: 142
A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Ali Najah Ahmed, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 4, pp. 101945-101945
Open Access | Times Cited: 129
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network
Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 9, pp. 6339-6353
Closed Access | Times Cited: 127
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2022) Vol. 52, pp. 101554-101554
Closed Access | Times Cited: 118
Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization
Yong Zhu, Guangpeng Li, Rui Wang, et al.
Applied Acoustics (2021) Vol. 183, pp. 108336-108336
Closed Access | Times Cited: 117
Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform
Shengnan Tang, Yong Zhu, Shouqi Yuan
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108560-108560
Closed Access | Times Cited: 110
An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition
Jiusi Zhang, Ke Zhang, Yiyao An, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 6231-6242
Closed Access | Times Cited: 104
Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Zhenghong Wu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102027-102027
Closed Access | Times Cited: 98
Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosis
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110314-110314
Closed Access | Times Cited: 89
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 87
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 87
A novel fault diagnosis method of rotating machinery via VMD, CWT and improved CNN
Jun Gu, Yuxing Peng, Hao Lu, et al.
Measurement (2022) Vol. 200, pp. 111635-111635
Closed Access | Times Cited: 85
Diagnosisformer: An efficient rolling bearing fault diagnosis method based on improved Transformer
Yandong Hou, Jinjin Wang, Zhengquan Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106507-106507
Closed Access | Times Cited: 79
An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal
Shengnan Tang, Yong Zhu, Shouqi Yuan
Engineering Failure Analysis (2022) Vol. 138, pp. 106300-106300
Closed Access | Times Cited: 76
Supervised Contrastive Learning-Based Domain Adaptation Network for Intelligent Unsupervised Fault Diagnosis of Rolling Bearing
Yongchao Zhang, Zhaohui Ren, Shihua Zhou, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 5371-5380
Closed Access | Times Cited: 76
Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions
Xiaoan Yan, Daoming She, Yadong Xu
Expert Systems with Applications (2022) Vol. 216, pp. 119479-119479
Closed Access | Times Cited: 68
Improving Bearing Fault Identification by Using Novel Hybrid Involution-Convolution Feature Extraction With Adversarial Noise Injection in Conditional GANs
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, et al.
IEEE Access (2023) Vol. 11, pp. 118253-118267
Open Access | Times Cited: 50
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