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:

Multi-task neural network blind deconvolution and its application to bearing fault feature extraction
Jing-Xiao Liao, Hangcheng Dong, Lei Luo, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 075017-075017
Open Access | Times Cited: 5

Showing 5 citing articles:

An interpretable waveform segmentation model for bearing fault diagnosis
Hao Li, Jing Lin, Zongyang Liu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102480-102480
Closed Access | Times Cited: 16

Classifier-guided neural blind deconvolution: A physics-informed denoising module for bearing fault diagnosis under noisy conditions
Jing-Xiao Liao, Chao He, Jipu Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111750-111750
Closed Access | Times Cited: 6

Domain-alignment multitask learning network for partial discharge condition assessment with digital twin in gas-insulated switchgear
Jing Yan, Yanxin Wang, Wenjie Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 065109-065109
Closed Access | Times Cited: 4

Adaptive Maximum High-Order Cyclostationarity Blind Deconvolution Method for Rolling Bearing Fault Diagnosis
Yi Wu, Jinhai Wang, Jianwei Yang
Lecture notes in electrical engineering (2024), pp. 351-361
Closed Access

A fault diagnosis approach for roller bearing based on boundary smooth support matrix machine
Jingshu Shi, Haiyang Pan, Jian Cheng, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025138-025138
Closed Access

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