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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:

Fault diagnosis of a rolling bearing based on the wavelet packet transform and a deep residual network with lightweight multi-branch structure
Shoucong Xiong, Hongdi Zhou, Shuai He, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 8, pp. 085106-085106
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

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
Restricted Sparse Networks for Rolling Bearing Fault Diagnosis
Huaxiang Pu, Ke Zhang, Yiyao An
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11139-11149
Closed Access | Times Cited: 28
Research on Fault Diagnosis of Rolling Bearing Based on Lightweight Model With Multiscale Features
Zong Meng, Cheng Luo, Jimeng Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13236-13247
Closed Access | Times Cited: 21
A New Cross-Domain Bearing Fault Diagnosis Framework Based on Transferable Features and Manifold Embedded Discriminative Distribution Adaption Under Class Imbalance
Xiao Yu, Hongshen Yin, Li Sun, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7525-7545
Closed Access | Times Cited: 20
Bearing fault diagnosis under variable speed conditions on adaptive time frequency extraction mode decomposition
Jiyuan Huo, Jianwei Yang, Dechen Yao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076102-076102
Closed Access | Times Cited: 7
Prediction of Gear Defect Based on WPT & CEEMDAN & SVD
Junqing Gu, Yueyun Zuo, Ni Zhang, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2025) Vol. 1
Closed Access
Wavelet Packet Transform and Deep Learning-based Fusion of Audio-Visual Signals: A Novel Approach for Enhancing Laser Cleaning Effect Evaluation
Haipeng Huang, Liang Li, Shiwei Liu, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024) Vol. 11, Iss. 4, pp. 1263-1278
Closed Access | Times Cited: 4
An Intelligent Fault Diagnosis Scheme for Rotating Machinery Based on Supervised Domain Adaptation With Manifold Embedding
Xiao Yu, Fei Dong, Bing Xia, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 1, pp. 953-972
Closed Access | Times Cited: 19
A method for rolling bearing fault diagnosis based on GSC-MDRNN with multi-dimensional input
Zheng Wang, Chuanbo Wen, Yifan Dong
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055901-055901
Closed Access | Times Cited: 10
Small sample fault diagnosis for wind turbine gearbox based on lightweight multiscale convolutional neural network
Yuan Wang, Junnian Wang, Pengcheng Tong
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095111-095111
Closed Access | Times Cited: 8
Photovoltaic arrays fault diagnosis based on an improved dilated convolutional neural network with feature-enhancement
Bin Gong, Aimin An, Yaoke Shi
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015011-015011
Closed Access | Times Cited: 8
Deep dynamic adaptation network: a deep transfer learning framework for rolling bearing fault diagnosis under variable working conditions
Huoyao Xu, Jie Liu, Xiangyu Peng, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2022) Vol. 45, Iss. 1
Closed Access | Times Cited: 13
A real-time mechanical fault diagnosis approach based on lightweight architecture search considering industrial edge deployments
Sihan Ma, Hongchun Sun, Sheng Gao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106433-106433
Closed Access | Times Cited: 6
Study on Wavelet Packet Energy Characteristics on Friction Signal of Lapping with the Fixed Abrasive Pad
Zhankui Wang, Zhao Zhang, Shiwei Wang, et al.
Micromachines (2022) Vol. 13, Iss. 7, pp. 981-981
Open Access | Times Cited: 10
A Multi-Scale and Lightweight Bearing Fault Diagnosis Model with Small Samples
Shouwan Gao, Jianan He, Honghua Pan, et al.
Symmetry (2022) Vol. 14, Iss. 5, pp. 909-909
Open Access | Times Cited: 9
A SENet-TSCNN model developed for fault diagnosis considering squeeze-excitation networks and two-stream feature fusion
Wujiu Pan, Yinghao Sun, R. C. H. Cheng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125117-125117
Closed Access | Times Cited: 4
A cross-domain intelligent fault diagnosis method based on feature transfer with improved Inception ResNet for rolling bearings under varying working condition
Jiaqi TIAN, Bin Gu
Journal of Advanced Mechanical Design Systems and Manufacturing (2024) Vol. 18, Iss. 2, pp. JAMDSM0012-JAMDSM0012
Open Access | Times Cited: 1
Bearing Fault Diagnosis using an Enhanced CBAM-based Multi-Feature Fusion CNN
Haotian Hu, Jilin He, Yang Miao, et al.
(2024), pp. 1506-1509
Closed Access | Times Cited: 1
Multi-Source Information-Based Bearing Fault Diagnosis Using Multi-Branch Selective Fusion Deep Residual Network
Shoucong Xiong, Leping Zhang, Yingxin Yang, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6581-6581
Open Access | Times Cited: 1
Maximal overlap discrete wavelet packet transforms and variants of neutrosophic cubic cross-entropy-based identification of rotor defects
Chander Parkash, Anil Kumar, Govind Vashist, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 8, pp. 085107-085107
Closed Access | Times Cited: 6
Alignment subdomain-based deep convolutional transfer learning for machinery fault diagnosis under different working conditions
Yibing Li, Hu Wan, Li Jiang
Measurement Science and Technology (2021) Vol. 33, Iss. 5, pp. 055006-055006
Closed Access | Times Cited: 6
Research on Demagnetization Fault Diagnosis Method of Mine Cutting Permanent Magnet Synchronous Motor
Guo Ye, Yanbin Lu, Jinyong Ju, et al.
International Journal of Rotating Machinery (2024) Vol. 2024, pp. 1-16
Open Access
Bearing fault diagnosis based on variational autoencoder and non-local block wide kernel convolutional neural network
Li Jiang, Silong Guo, Shunsheng Guo, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 14, pp. 7322-7340
Closed Access
Research on a Lightweight Multi-Scale Feature Fusion and its Fault Diagnosis Method for Rolling Bearing with Limited Labeled Samples
Jiqiang Zhang, Xiangwei Kong, T. T. Han, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access
A New Transferable Fault Diagnosis Approach of Rotating Machinery Based on Deep Autoencoder and Dominant Features Selection under Different Operating Conditions
Fei Dong, Xiao Yu, Xinguo Shi, et al.
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 2
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