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:
Early Fault Detection in Particle Accelerator Power Electronics Using Ensemble Learning
Majdi I. Radaideh, Chris H. Pappas, Mark Wezensky, et al.
International Journal of Prognostics and Health Management (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Majdi I. Radaideh, Chris H. Pappas, Mark Wezensky, et al.
International Journal of Prognostics and Health Management (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Showing 6 citing articles:
Impact of including fuel performance as part of core reload optimization: Application to power uprates
Paul Seurin, Assil Halimi, Koroush Shirvan
Nuclear Engineering and Design (2025) Vol. 433, pp. 113844-113844
Closed Access
Paul Seurin, Assil Halimi, Koroush Shirvan
Nuclear Engineering and Design (2025) Vol. 433, pp. 113844-113844
Closed Access
A load following reactivity control system for nuclear microreactors
Kamal Kayode Abdulraheem, Soo‐Young Choi, Qicang Shen, et al.
Progress in Nuclear Energy (2025) Vol. 184, pp. 105676-105676
Open Access
Kamal Kayode Abdulraheem, Soo‐Young Choi, Qicang Shen, et al.
Progress in Nuclear Energy (2025) Vol. 184, pp. 105676-105676
Open Access
Accelerating cavity fault prediction using deep learning at Jefferson laboratory
M. M. Rahman, Adam Carpenter, Khan M. Iftekharuddin, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035078-035078
Open Access
M. M. Rahman, Adam Carpenter, Khan M. Iftekharuddin, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035078-035078
Open Access
pyMAISE: A Python platform for automatic machine learning and accelerated development for nuclear power applications
P. S. Myers, Nataly Panczyk, Shashank Chidige, et al.
Progress in Nuclear Energy (2024) Vol. 180, pp. 105568-105568
Closed Access
P. S. Myers, Nataly Panczyk, Shashank Chidige, et al.
Progress in Nuclear Energy (2024) Vol. 180, pp. 105568-105568
Closed Access
Operational data for fault prognosis in particle accelerators with machine learning
Majdi I. Radaideh, Chris H. Pappas, Mark Wezensky, et al.
Data in Brief (2023) Vol. 51, pp. 109658-109658
Open Access
Majdi I. Radaideh, Chris H. Pappas, Mark Wezensky, et al.
Data in Brief (2023) Vol. 51, pp. 109658-109658
Open Access
RUL Prognostics
Junhyun Byun, Suhong Min, Jihoon Kang
International Journal of Prognostics and Health Management (2023) Vol. 14, Iss. 2
Open Access
Junhyun Byun, Suhong Min, Jihoon Kang
International Journal of Prognostics and Health Management (2023) Vol. 14, Iss. 2
Open Access
