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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 Wind Turbine Gearbox Based on Multiscale Residual Features and ECA-Stacked ResNet
Xunlong Yin, Zonglei Mou, Youqing Wang
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7320-7333
Closed Access | Times Cited: 12

Showing 12 citing articles:

Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks
Chuanbo Wen, Yipeng Xue, Weibo Liu, et al.
Neurocomputing (2024) Vol. 576, pp. 127355-127355
Closed Access | Times Cited: 19
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data
Jichao Zhuang, Jianhai Yan, Cheng‐Geng Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107539-107539
Closed Access | Times Cited: 12
Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates
Jianguo Miao, Zihao Deng, Congying Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108499-108499
Closed Access | Times Cited: 2
Squeeze‐and‐excitation attention residual learning of propulsion fault features for diagnosing autonomous underwater vehicles
Wenliao Du, Xinlong Yu, Zhen Guo, et al.
Journal of Field Robotics (2024)
Closed Access | Times Cited: 2
High-Resistance Connection Fault Diagnosis of SRM Based on Multisensor Calibrated Transformer With Shifted Windows
Linghan Zhang, Juncai Song, Xiaoxian Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 30971-30983
Closed Access | Times Cited: 6
MC-ABDS: A system for low SNR fault diagnosis in industrial production with intense overlapping and interference
Haocheng Yin, Haitao Xu, Heng Zhang, et al.
Applied Acoustics (2024) Vol. 227, pp. 110217-110217
Closed Access | Times Cited: 1
A Graph Attention Based Multichannel Transfer Learning Network for Wheelset Bearing Fault Diagnosis With Nonshared Fault Classes
Zonghao Yuan, Zengqiang Ma, Xin Li, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 2, pp. 1929-1940
Closed Access | Times Cited: 3
Semi-Supervised Fault Diagnosis Method Based on Dual-Stream Attention Cyclic Auto-Encoder for Rotating Components With Low Label Rate
Jianguo Miao, Zihao Deng, Congying Deng, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 4948-4959
Closed Access
Deep learning-based fault diagnosis of planetary gearbox: A systematic review
Hassaan Ahmad, Wei Cheng, Ji Xing, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 730-745
Closed Access
An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering
Lingling Tong, Zhimin Lv
Structural Health Monitoring (2024)
Closed Access
Gearbox Fault Diagnosis Based on Local Domain Adaptation Network under Different Working Conditions
Zhuang Ye, Mingyan Ma, Peilun Liu, et al.
(2023), pp. 154-158
Closed Access
A Novel Combinatorial Network for Anomaly Monitoring of Wind Turbines
Qingtao Yao, Hao Su, Guopeng Zhu, et al.
(2023), pp. 1-6
Closed Access
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