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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 method of planetary gearboxes based on convolution neural network and discrete wavelet transform
Renxiang Chen, Xin Huang, Lixia Yang, et al.
Computers in Industry (2019) Vol. 106, pp. 48-59
Closed Access | Times Cited: 210

Showing 1-25 of 210 citing articles:

Deep Residual Shrinkage Networks for Fault Diagnosis
Minghang Zhao, Shisheng Zhong, Xuyun Fu, et al.
IEEE Transactions on Industrial Informatics (2019) Vol. 16, Iss. 7, pp. 4681-4690
Closed Access | Times Cited: 922
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
A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings
Yifei Ding, Minping Jia, Qiuhua Miao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108616-108616
Open Access | Times Cited: 245
Fault diagnosis of electric impact drills using thermal imaging
Adam Głowacz
Measurement (2020) Vol. 171, pp. 108815-108815
Closed Access | Times Cited: 201
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: 176
Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis
Minghang Zhao, Shisheng Zhong, Xuyun Fu, et al.
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 3, pp. 2587-2597
Closed Access | Times Cited: 165
Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform
Pengfei Liang, Chao Deng, Jun Wu, et al.
Computers in Industry (2019) Vol. 113, pp. 103132-103132
Closed Access | Times Cited: 160
A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox
Kai Zhang, Baoping Tang, Lei Deng, et al.
Measurement (2021) Vol. 179, pp. 109491-109491
Closed Access | Times Cited: 144
Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization
Shengnan Tang, Yong Zhu, Shouqi Yuan
ISA Transactions (2022) Vol. 129, pp. 555-563
Closed Access | Times Cited: 121
Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data
Yanting Li, Wenbo Jiang, Guangyao Zhang, et al.
Renewable Energy (2021) Vol. 171, pp. 103-115
Closed Access | Times Cited: 119
A fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels
Kai Zhang, Baoping Tang, Lei Deng, et al.
Mechanical Systems and Signal Processing (2021) Vol. 161, pp. 107963-107963
Closed Access | Times Cited: 109
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 systematic review of data-driven approaches to fault diagnosis and early warning
Jieyang Peng, Andreas Kimmig, Dongkun Wang, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 8, pp. 3277-3304
Closed Access | Times Cited: 87
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
Dongdong Liu, Lingli Cui, Weidong Cheng
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 012002-012002
Closed Access | Times Cited: 81
Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Yutong Dong, Hongkai Jiang, Mingzhe Mu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102573-102573
Closed Access | Times Cited: 22
Convolutional Neural Network in Intelligent Fault Diagnosis Toward Rotatory Machinery
Shengnan Tang, Shouqi Yuan, Yong Zhu
IEEE Access (2020) Vol. 8, pp. 86510-86519
Open Access | Times Cited: 128
Rolling Bearing Fault Diagnosis Based on Convolutional Neural Network and Support Vector Machine
Laohu Yuan, Dongshan Lian, Kang Xue, et al.
IEEE Access (2020) Vol. 8, pp. 137395-137406
Open Access | Times Cited: 128
Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
Min Huang, Zhen Liu, Yang Tao
Simulation Modelling Practice and Theory (2019) Vol. 102, pp. 101981-101981
Open Access | Times Cited: 123
Data Preprocessing Techniques in Convolutional Neural Network Based on Fault Diagnosis Towards Rotating Machinery
Shengnan Tang, Shouqi Yuan, Yong Zhu
IEEE Access (2020) Vol. 8, pp. 149487-149496
Open Access | Times Cited: 114
A review of applications of artificial intelligent algorithms in wind farms
Yirui Wang, Yang Yu, Shuyang Cao, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3447-3500
Closed Access | Times Cited: 106
Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review
Zhibin Zhao, Jingyao Wu, Tianfu Li, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 98
Failure signature classification in solar photovoltaic plants using RGB images and convolutional neural networks
Alejandro Rico Espinosa, Michaël Bressan, Luis Felipe Giraldo
Renewable Energy (2020) Vol. 162, pp. 249-256
Closed Access | Times Cited: 90
Intelligent Fault Diagnosis for Planetary Gearbox Using Time-Frequency Representation and Deep Reinforcement Learning
Hui Wang, Jiawen Xu, Chuang Sun, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 2, pp. 985-998
Closed Access | Times Cited: 88
Aeroengine Control System Sensor Fault Diagnosis Based on CWT and CNN
Linfeng Gou, Huihui Li, Hua Zheng, et al.
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 80
Fault Diagnosis of Rotating Machinery Based on Combination of Deep Belief Network and One-dimensional Convolutional Neural Network
Yibing Li, Li Zou, Li Jiang, et al.
IEEE Access (2019) Vol. 7, pp. 165710-165723
Open Access | Times Cited: 78
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