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:

A novel meta-learning network with adversarial domain-adaptation and attention mechanism for cross-domain for train bearing fault diagnosis
Hao Zhong, Deqiang He, Zexian Wei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125109-125109
Closed Access | Times Cited: 4

Showing 4 citing articles:

Meta-learning for enhancing machines' intelligence in manufacturing
Goran D. Putnik
Tehnika (2025) Vol. 80, Iss. 1, pp. 57-75
Open Access

A Cost-Sensitive Multi-scale Feature Multi-order Fusion Network for Bearing Fault Diagnosis Under Data Imbalance Conditions
Shuaiqing Deng, Zihao Lei, Guangrui Wen, et al.
Lecture notes in electrical engineering (2025), pp. 94-106
Closed Access

Fault diagnosis of rolling bearings under variable operating conditions based on improved graph neural networks
Guochao Chang, Chang Liu, Bingbing Fan, et al.
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045231-045231
Closed Access

A novel bearing weak fault diagnosis method based on rank constrained low-rank and sparse decomposition
Yanping Liang, Li Ning, Li Cui, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016170-016170
Closed Access

MLDM: A Multi Learning Domain Model for Fault Identification of Centrifugal Fan
Ruijun Wang, Zhixia Fan, Yuan Liu
Measurement Science and Technology (2024) Vol. 36, Iss. 2, pp. 026109-026109
Closed Access

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