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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:

Preliminary development of machine learning-based error correction model for low-fidelity reactor physics simulation
Muhammad Rizki Oktavian, J. Nistor, J.T. Gruenwald, et al.
Annals of Nuclear Energy (2023) Vol. 187, pp. 109788-109788
Closed Access | Times Cited: 9

Showing 9 citing articles:

Integrating core physics and machine learning for improved parameter prediction in boiling water reactor operations
Muhammad Rizki Oktavian, J. Nistor, J. T. Gruenwald, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Optimization of passive modular molten salt microreactor geometric perturbations using machine learning
Andrew Larsen, Ross Lee, Braden Clayton, et al.
Nuclear Engineering and Design (2024) Vol. 424, pp. 113307-113307
Closed Access | Times Cited: 2
LSTM-GCN based multidimensional parameter relationship analysis and prediction framework for system level experimental bench
Linjun Yang, Zhuang Miao, Tong Li, et al.
Annals of Nuclear Energy (2024) Vol. 210, pp. 110890-110890
Closed Access | Times Cited: 2
Three-Dimensional Surrogate Model Based on Back-Propagation Neural Network for Key Neutronics Parameters Prediction in Molten Salt Reactor
Xinyan Bei, Yuqing Dai, Kaicheng Yu, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4044-4044
Open Access | Times Cited: 2
Reactor Physics Monitoring of a Source-Driven Subcritical System in Stationary State by Deterministic and Probabilistic Deep Neural Networks
Ronald Daryll E. Gatchalian, Pavel V. Tsvetkov
Nuclear Science and Engineering (2024), pp. 1-24
Closed Access
Using Generative AI to Implement the Discrepancy Checker for a Nearly Autonomous Management and Control System for Advanced Reactors
Paridhi Athe, Linyu Lin, Nam Dinh
(2024), pp. 332-341
Open Access
Applying Gaussian Process Regression for Machine Learning-Assisted Reactor Simulations
Muhammad Rizki Oktavian
Journal of Physics Conference Series (2024) Vol. 2828, Iss. 1, pp. 012007-012007
Open Access
Improving Neutron Diffusion Solver on Small-Size Boiling Water Reactors with a Neural Network-Based Correction Model
Muhammad Rizki Oktavian, Oscar Lastres, Jonathan Nistor, et al.
(2023)
Closed Access
Integrating Core Physics and Machine Learning for Improved Parameter Prediction in Boiling Water Reactor Operations
Muhammad Rizki Oktavian, Jonathan Nistor, J. T. Gruenwald, et al.
Research Square (Research Square) (2023)
Open Access
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