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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:

Physics-constrained neural network for solving discontinuous interface K-eigenvalue problem with application to reactor physics
Qihong Yang, Yu Yang, Yangtao Deng, et al.
Nuclear Science and Techniques (2023) Vol. 34, Iss. 10
Open Access | Times Cited: 12

Showing 12 citing articles:

Multi-fidelity physics constrained neural networks for dynamical systems
Hao Zhou, Sibo Cheng, Rossella Arcucci
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 420, pp. 116758-116758
Open Access | Times Cited: 12
Temperature dynamics and mechanical properties analysis of carbon fiber epoxy composites radiated by nuclear explosion simulated light source
Lin Yuan, Jun Li, Baoyi Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A physics-informed neural network-based method for dispersion calculations
Zhibao Cheng, Tianxiang Yu, Gaofeng Jia, et al.
International Journal of Mechanical Sciences (2025), pp. 110111-110111
Closed Access
A multi-scale finite element method for neutron diffusion eigenvalue problem
Xindi Hu, Helin Gong, Shengfeng Zhu
Nuclear Engineering and Technology (2025), pp. 103420-103420
Open Access
Research on least-square solver for physics-informed neural network in thermal-hydraulic analysis of nuclear reactors
Bo Wang, Xinyu Li, Xingguang Zhou, et al.
Annals of Nuclear Energy (2025) Vol. 213, pp. 111190-111190
Closed Access
Decision tree based parameter identification and state estimation: Application to Reactor Operation Digital Twin
Rong Zhao, Lizhan Hong, Hongjun Ji, et al.
Nuclear Engineering and Technology (2025), pp. 103527-103527
Open Access
A Comprehensive Deep Learning–Based Approach to Field Reconstruction in Reactor Cores
Bo Xu, Han Li, Lei Zhang, et al.
Nuclear Science and Engineering (2024), pp. 1-15
Closed Access | Times Cited: 1
Moving sampling physics-informed neural networks induced by moving mesh PDE
Yu Yang, Qihong Yang, Yangtao Deng, et al.
Neural Networks (2024) Vol. 180, pp. 106706-106706
Closed Access
Deep learning driven inverse solving method for neutron diffusion equations and three-dimensional core power reconstruction technology
Dong Liu, Bin Zhang, Yong Jiang, et al.
Nuclear Engineering and Design (2024) Vol. 429, pp. 113590-113590
Closed Access
Reduced-order method for nuclear reactor primary circuit calculation
Zelong Zhao, Ya-Hui Wang, Zhe-Xian Liu, et al.
Nuclear Science and Techniques (2024) Vol. 35, Iss. 11
Closed Access
A Hybrid Data Assimilation and Dynamic Mode Decomposition Approach for Xenon Dynamic Prediction of Nuclear Reactor Cores
Jianpeng Liu, Zhiyong Wang, Qing Li, et al.
Nuclear Science and Engineering (2024), pp. 1-19
Closed Access
Deep Learning-Based Prediction of Transient Power Variation in Pressurized Water Reactors
Zhouyu Liu, Jiawang Liu, Shihao Shao, et al.
(2024)
Closed Access
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