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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:

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

Showing 1-25 of 128 citing articles:

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
Multi-Disease Prediction Based on Deep Learning: A Survey
Shuxuan Xie, Zengchen Yu, Zhihan Lv
Computer Modeling in Engineering & Sciences (2021) Vol. 128, Iss. 2, pp. 489-522
Open Access | Times Cited: 184
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
A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis
Lanjun Wan, Yuanyuan Li, Keyu Chen, et al.
Measurement (2022) Vol. 191, pp. 110752-110752
Closed Access | Times Cited: 140
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
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
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
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
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
Extreme learning Machine-based classifier for fault diagnosis of rotating Machinery using a residual network and continuous wavelet transform
Wei Hao, Qinghua Zhang, Minghu Shang, et al.
Measurement (2021) Vol. 183, pp. 109864-109864
Closed Access | Times Cited: 73
Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals
Qun Chao, Haohan Gao, Jianfeng Tao, et al.
Science China Technological Sciences (2021) Vol. 65, Iss. 2, pp. 470-480
Closed Access | Times Cited: 70
An anti-noise one-dimension convolutional neural network learning model applying on bearing fault diagnosis
Fengqian Zou, Haifeng Zhang, Shengtian Sang, et al.
Measurement (2021) Vol. 186, pp. 110236-110236
Closed Access | Times Cited: 54
Optimal Design of Diversion Piers of Lateral Intake Pumping Station Based on Orthogonal Test
Jiren Zhou, Miaomiao Zhao, Chuan Wang, et al.
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 46
Intelligent Fault Diagnosis of Hydraulic Piston Pump Based on Wavelet Analysis and Improved AlexNet
Yong Zhu, Guangpeng Li, Rui Wang, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 549-549
Open Access | Times Cited: 44
MSE-NERSPPNet: A Multi-Channel Framework for Bearing Fault Diagnosis in the Presence of Imbalanced Samples
D. Lin, Zhilin Dong, Jianfeng Sun, et al.
Research Square (Research Square) (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
A Transfer Learning Framework with a One-Dimensional Deep Subdomain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions
Ruixin Zhang, Yu Gu
Sensors (2022) Vol. 22, Iss. 4, pp. 1624-1624
Open Access | Times Cited: 25
Hydraulic directional valve fault diagnosis using a weighted adaptive fusion of multi-dimensional features of a multi-sensor
Jinchuan Shi, Yan Ren, Hesheng Tang, et al.
Journal of Zhejiang University. Science A (2022) Vol. 23, Iss. 4, pp. 257-271
Closed Access | Times Cited: 24
Automatic Optimization of One-Dimensional CNN Architecture for Fault Diagnosis of a Hydraulic Piston Pump Using Genetic Algorithm
Oybek Eraliev, Kwang‐Hee Lee, Chul-Hee Lee
IEEE Access (2023) Vol. 11, pp. 68462-68472
Open Access | Times Cited: 12
Task-adaptive unbiased regularization meta-learning for few-shot cross-domain fault diagnosis
Huaqing Wang, Dongrui Lv, Tianjiao Lin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110200-110200
Closed Access
Fault Diagnosis of Wire Disconnection in Heater Control System Using One-Dimensional Convolutional Neural Network
J. Guo, Linfeng Sun, Takahiro Kawaguchi, et al.
Processes (2025) Vol. 13, Iss. 2, pp. 402-402
Open Access
Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique
D. T. Nguyen, Phuong Nguyen Thanh, Ming-Yuan Cho
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Intelligent fault diagnosis technique for rotating machinery based on parameter-optimised variational mode decomposition and improved bidirectional gated recurrent unit
Yi Du, Wei-Bin Kong, Feng Zhou, et al.
Insight - Non-Destructive Testing and Condition Monitoring (2025) Vol. 67, Iss. 2, pp. 100-110
Closed Access
Deep transfer learning hybrid techniques for precision in breast cancer tumor histopathology classification
Muniraj Gupta, Nidhi Verma, Naveen Sharma, et al.
Health Information Science and Systems (2025) Vol. 13, Iss. 1
Open Access
A New Method Based on Encoding Data Probability Density and Convolutional Neural Network for Rotating Machinery Fault Diagnosis
Zhang Bo-wen, Xinyu Pang, Peng Zhao, et al.
IEEE Access (2023) Vol. 11, pp. 26099-26113
Open Access | Times Cited: 11
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