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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:

Inception Based Deep Convolutional Neural Network for Remaining Useful Life Estimation of Turbofan Engines
Nathaniel DeVol, Christopher Saldaña, Katherine Fu
Annual Conference of the PHM Society (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis
Joseph Cohen, Xun Huan, Jun Ni
Journal of Intelligent Manufacturing (2024) Vol. 35, Iss. 8, pp. 4071-4086
Closed Access | Times Cited: 9
Attention-based LSTM for Remaining Useful Life Estimation of Aircraft Engines
Abdeltif Boujamza, Saâd Lissane Elhaq
IFAC-PapersOnLine (2022) Vol. 55, Iss. 12, pp. 450-455
Open Access | Times Cited: 22
Integration of Machine Learning Methods to Calculate the Remaining Useful Life of Mandrels
Tobias Moser, Johannes Seitz, Bernd Kuhlenkötter
Zeitschrift für wirtschaftlichen Fabrikbetrieb (2025) Vol. 120, Iss. s1, pp. 186-191
Closed Access
A review of maritime equipment prognostics health management from a classification society perspective
Liang Qin, Knut Erik Knutsen, Erik Vanem, et al.
Ocean Engineering (2024) Vol. 301, pp. 117619-117619
Open Access | Times Cited: 4
A benchmark on uncertainty quantification for deep learning prognostics
Luis Basora, Arthur Viens, Manuel Arias Chao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110513-110513
Open Access | Times Cited: 4
Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation
Joseph Cohen, Xun Huan, Jun Ni
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Fault Prognosis of Turbofan Engines
Joseph Cohen, Xun Huan, Jun Ni
International Journal of Prognostics and Health Management (2023) Vol. 14, Iss. 2
Open Access | Times Cited: 2
Learning methods for remaining useful life prediction in a turbofan engine
Andréia Seixas Leal, Lilian Berton, Luis Santos
(2022), pp. 556-566
Open Access | Times Cited: 3
RETRACTED: Remaining life prediction of aircraft engines based on IGOA-LSTM-FNN
Xiaojun Bai, Haiyang Jia, Yanfang Fu, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-16
Closed Access
Multi-level attention graph feature fusion smooth prognostics approach for aircraft engines remaining useful life prediction
Tao Li, Jiuxiang Dong
Journal of Control and Decision (2024), pp. 1-17
Closed Access
Label synchronization strategies for hybrid federated learning
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, et al.
Reliability Engineering & System Safety (2024), pp. 110751-110751
Open Access
Evaluating Image Classification Deep Convolutional Neural Network Architectures for Remaining Useful Life Estimation of Turbofan Engines
Nathaniel DeVol, Christopher Saldaña, Katherine Fu
International Journal of Prognostics and Health Management (2022) Vol. 13, Iss. 2
Open Access | Times Cited: 2
Review of Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Industrial Open Source Data
Hanqi Su, Jay Lee
(2023)
Closed Access
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