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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 based on continuous wavelet transform-local binary convolutional neural network
Yiwei Cheng, Manxi Lin, Jun Wu, et al.
Knowledge-Based Systems (2021) Vol. 216, pp. 106796-106796
Closed Access | Times Cited: 245

Showing 1-25 of 245 citing articles:

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 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
A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case
Xin Li, Jian Cheng, Haidong Shao, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 8, pp. 5180-5189
Closed Access | Times Cited: 103
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
Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique
Wenlong Fu, Xiaohui Jiang, Bailin Li, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 045005-045005
Closed Access | Times Cited: 72
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
WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking
Weihua Li, Hao Lan, Junbin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 57
You can get smaller: A lightweight self-activation convolution unit modified by transformer for fault diagnosis
Hairui Fang, Jin Deng, DongSheng Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101890-101890
Closed Access | Times Cited: 49
Pipeline leak diagnosis based on leak-augmented scalograms and deep learning
Muhammad Siddique, Zahoor Ahmad, Jong-Myon Kim
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 48
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data
Dingyi Sun, Yongbo Li, Sixiang Jia, et al.
Information Fusion (2023) Vol. 94, pp. 112-125
Closed Access | Times Cited: 42
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Xiaoan Yan, Wang‐Ji Yan, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110664-110664
Closed Access | Times Cited: 42
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data
Suiyan Wang, Jiaye Tian, Pengfei Liang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108146-108146
Closed Access | Times Cited: 39
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery
Xuefang Xu, Shuo Bao, Haidong Shao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102419-102419
Closed Access | Times Cited: 17
Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition
Hebin Liu, Qizhi Xu, Xiaolin Han, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111479-111479
Closed Access | Times Cited: 16
Autoencoder Quasi-Recurrent Neural Networks for Remaining Useful Life Prediction of Engineering Systems
Yiwei Cheng, Kui Hu, Jun Wu, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 2, pp. 1081-1092
Closed Access | Times Cited: 63
Latent variable models in the era of industrial big data: Extension and beyond
Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, et al.
Annual Reviews in Control (2022) Vol. 54, pp. 167-199
Open Access | Times Cited: 63
Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data
Huan Wang, Zhiliang Liu, Yipei Ge, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107978-107978
Closed Access | Times Cited: 56
Deep Bidirectional Recurrent Neural Networks Ensemble for Remaining Useful Life Prediction of Aircraft Engine
Kui Hu, Yiwei Cheng, Jun Wu, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 4, pp. 2531-2543
Closed Access | Times Cited: 55
Gear fault diagnosis based on CS-improved variational mode decomposition and probabilistic neural network
Ying Lin, Maohua Xiao, Huijia Liu, et al.
Measurement (2022) Vol. 192, pp. 110913-110913
Closed Access | Times Cited: 49
A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning
Sajjad Ahmad, Zahoor Ahmad, Cheol Hong Kim, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1562-1562
Open Access | Times Cited: 48
Cross-domain meta learning fault diagnosis based on multi-scale dilated convolution and adaptive relation module
Ruiyi Ma, Tian Han, Wenxin Lei
Knowledge-Based Systems (2022) Vol. 261, pp. 110175-110175
Closed Access | Times Cited: 45
A multi-scale convolutional neural network for bearing compound fault diagnosis under various noise conditions
Yanrui Jin, Chengjin Qin, ZhiNan Zhang, et al.
Science China Technological Sciences (2022) Vol. 65, Iss. 11, pp. 2551-2563
Closed Access | Times Cited: 44
Intelligent Fault Diagnosis of Rotating Machines Based on Wavelet Time-Frequency Diagram and Optimized Stacked Denoising Auto-Encoder
Ning Jia, Yao Cheng, Yunyang Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 17, pp. 17139-17150
Closed Access | Times Cited: 43
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions
Mohammadreza Kavianpour, Amin Ramezani, Mohammad Taghi Hamidi Beheshti
Measurement (2022) Vol. 199, pp. 111536-111536
Closed Access | Times Cited: 41
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