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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:

Global and local information integrated network for remaining useful life prediction
Zian Chen, Xiaohang Jin, Ziqian Kong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106956-106956
Closed Access | Times Cited: 8

Showing 8 citing articles:

Weighted sequence neural processes based uncertainty-aware machinery failure prognostic for mineral manufacturing equipment
Tao Liang, Fuli Wang, Shu Wang, et al.
Measurement (2025), pp. 116656-116656
Closed Access
Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression
Tao Liang, Fuli Wang, Shu Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102719-102719
Closed Access | Times Cited: 4
Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure
Yuling Zhan, Ziqian Kong, Ziqi Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110383-110383
Closed Access | Times Cited: 4
Robust prediction of remaining useful lifetime of bearings using deep learning
L. Magadán, Juan C. Granda, Francisco J. Suárez
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107690-107690
Open Access | Times Cited: 10
Spatio-Temporal Propagation: An Extended Message Passing Graph Neural Network for Remaining Useful Life Prediction
Ziqian Kong, Xiaohang Jin, Feng Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 20, pp. 32468-32479
Closed Access | Times Cited: 3
Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors
Moncef Soualhi, Khanh T.P. Nguyen, Kamal Medjaher
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108186-108186
Closed Access | Times Cited: 2
The transient concept of bearings: a novel strategy for RUL prediction
Xu Zhang, Chenxia Guo, Ruifeng Yang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025104-025104
Closed Access | Times Cited: 2
Bearing Remaining Useful Life Prediction Using Client Selection and Personalized Aggregation Enhancement in Federated Learning
Xi Chen, Siliang Lu, Hui Wang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 40888-40896
Closed Access
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