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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 rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network
Pengfei Liang, Chao Deng, Jun Wu, et al.
Measurement (2020) Vol. 159, pp. 107768-107768
Closed Access | Times Cited: 178

Showing 26-50 of 178 citing articles:

Machinery Fault Diagnosis Based on Deep Learning for Time Series Analysis and Knowledge Graphs
Haiying Liu, Ruizhe Ma, Daiyi Li, et al.
Journal of Signal Processing Systems (2021) Vol. 93, Iss. 12, pp. 1433-1455
Closed Access | Times Cited: 47
An Imbalanced Fault Diagnosis Method for Rolling Bearing Based on Semi-Supervised Conditional Generative Adversarial Network With Spectral Normalization
Minqiu Xu, Youqing Wang
IEEE Access (2021) Vol. 9, pp. 27736-27747
Open Access | Times Cited: 44
Generative adversarial networks based remaining useful life estimation for IIoT
Sourajit Behera, Rajiv Misra
Computers & Electrical Engineering (2021) Vol. 92, pp. 107195-107195
Closed Access | Times Cited: 42
Motor Fault Diagnosis Based on Scale Invariant Image Features
Zhuo Long, Xiaofei Zhang, Min He, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 3, pp. 1605-1617
Closed Access | Times Cited: 42
An Intelligent Fault Diagnosis Method of Small Sample Bearing Based on Improved Auxiliary Classification Generative Adversarial Network
Zong Meng, Qian Li, Dengyun Sun, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19543-19555
Closed Access | Times Cited: 33
An effective data enhancement method for classification of ECG arrhythmia
Shuai Ma, Jianfeng Cui, Chin‐Ling Chen, et al.
Measurement (2022) Vol. 203, pp. 111978-111978
Closed Access | Times Cited: 33
A hybrid deep-learning model for fault diagnosis of rolling bearings in strong noise environments
Ke Zhang, Caizi Fan, Xiaochen Zhang, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 6, pp. 065103-065103
Closed Access | Times Cited: 30
Deep residual networks-based intelligent fault diagnosis method of planetary gearboxes in cloud environments
Xinghua Huang, Guanqiu Qi, Neal Mazur, et al.
Simulation Modelling Practice and Theory (2022) Vol. 116, pp. 102469-102469
Closed Access | Times Cited: 30
Early fault diagnosis based on reinforcement learning optimized-SVM model with vibration-monitored signals
Wenqin Zhao, Yaqiong Lv, Jialun Liu, et al.
Quality Engineering (2023) Vol. 35, Iss. 4, pp. 696-711
Closed Access | Times Cited: 20
Smart machine fault diagnostics based on fault specified discrete wavelet transform
Oğuzhan Daş, Duygu Bağcı Daş
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 1
Closed Access | Times Cited: 19
A method for predicting the remaining useful life of rolling bearings under different working conditions based on multi-domain adversarial networks
Yisheng Zou, Zhixuan Li, Yongzhi Liu, et al.
Measurement (2021) Vol. 188, pp. 110393-110393
Closed Access | Times Cited: 36
Uncertainty utilization in fault detection using Bayesian deep learning
Ahmed Maged, Min Xie
Journal of Manufacturing Systems (2022) Vol. 64, pp. 316-329
Closed Access | Times Cited: 27
Rolling Bearing Fault Diagnosis in Limited Data Scenarios Using Feature Enhanced Generative Adversarial Networks
Wenlong Fu, Xiaohui Jiang, Chao Tan, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 9, pp. 8749-8759
Closed Access | Times Cited: 26
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
Real-Time Motor Fault Diagnosis Based on TCN and Attention
Hui Zhang, Baojun Ge, Bin Han
Machines (2022) Vol. 10, Iss. 4, pp. 249-249
Open Access | Times Cited: 22
A Rapid Identification Technique of Moving Loads Based on MobileNetV2 and Transfer Learning
Yilun Qin, Qizhi Tang, Jingzhou Xin, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 572-572
Open Access | Times Cited: 14
Domain knowledge-informed synthetic fault sample generation with health data map for cross-domain planetary gearbox fault diagnosis
Jong Moon Ha, Olga Fink
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110680-110680
Open Access | Times Cited: 14
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions
Li Jiang, Lei Wei, Shuaiyu Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107179-107179
Closed Access | Times Cited: 14
Hot Strip Mill Gearbox Monitoring and Diagnosis Based on Convolutional Neural Networks Using the Pseudo-Labeling Method
Myung-Kyo Seo, Won-Young Yun
Applied Sciences (2024) Vol. 14, Iss. 1, pp. 450-450
Open Access | Times Cited: 4
A hybrid fault diagnosis method for rolling bearings based on GGRU-1DCNN with AdaBN algorithm under multiple load conditions
Lirong Sun, Xiaomin Zhu, Jiannan Xiao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076201-076201
Closed Access | Times Cited: 4
A Survey on Fault Diagnosis of Rotating Machinery Based on Machine Learning
Qi Wang, Rui Huang, Jianbin Xiong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 102001-102001
Closed Access | Times Cited: 4
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
A Novel Vision Transformer with Probabilistic Residual in Self-Attention for Pattern Recognition
Arun Sharma, Nishchal K. Verma
(2025)
Closed Access
Predictive machine health monitoring using deep convolution neural network for noisy vibration signal of rotating machine using empirical mode decomposition
R. Pavithra, Prakash Ramachandran
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Enhanced rolling bearing fault diagnosis using a multi-stage attention fusion network
Mengling Ma, Chenxi Qu, Xüna Zhao, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2025)
Closed Access

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