Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics
Helin Gong, Sibo Cheng, Zhang Chen, et al.
Nuclear Science and Engineering (2022) Vol. 196, Iss. 6, pp. 668-693
Open Access | Times Cited: 82

Showing 51-75 of 82 citing articles:

DT-Sustain: A Sustainability Framework to Develop Digital-Twin Defined Manufacturing Systems
Ali Ahmad Malik, Alexander Brem
Elsevier eBooks (2024), pp. 633-647
Closed Access
Data Assimilation for the Main Steam System in Nuclear Power Plants: Utilizing 3d-Var and Gaussian-Weighted Least-Squares Method
Xiaoyu Luo, Sheng Zheng, Dazhi Zhang, et al.
(2024)
Closed Access
Research on the connection calculation of direct kinetics simulation and predictor-corrector Quasi-Static method based on RMC code
Conglong Jia, Wu Wang, Yuanhao Gou, et al.
Annals of Nuclear Energy (2024) Vol. 208, pp. 110797-110797
Closed Access
Application research of full chain topology inference technology in the field of Nuclear Power Drawings
Lihong Tang, Yang Yahui, Shanhong He, et al.
(2024), pp. 1902-1907
Closed Access
Advancing source reactor-type discrimination using machine learning techniques and SFCOMPO-2.0 experimental database
Tianxiang Wang, Hao Yang, Shengli Chen, et al.
Annals of Nuclear Energy (2024) Vol. 211, pp. 110952-110952
Closed Access
An Overview of Probabilistic Safety Assessment for Nuclear Safety: What Has Been Done, and Where Do We Go from Here?
Adolphus Lye, Jathniel Chang, Sicong Xiao, et al.
Journal of Nuclear Engineering (2024) Vol. 5, Iss. 4, pp. 456-485
Open Access
A Survey of Artificial Intelligence Applications in Nuclear Power Plants
Chaima Jendoubi, Arghavan Asad
IoT (2024) Vol. 5, Iss. 4, pp. 666-691
Open Access
Non-intrusive parametric hyper-reduction for nonlinear structural finite element formulations
Davide Fleres, Daniel De Gregoriis, Onur Atak, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 434, pp. 117532-117532
Closed Access
Error-based efficient parameter space partitioning for mesh adaptation and local reduced order models
Sourabh P. Bhat, Nicolas Barral, Mario Ricchiuto
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 435, pp. 117649-117649
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
Artificial Intelligence in the Field of Atomic Energy Usage—Existing Possibilities and Perspectives
А. В. Николаева, M. A. Uvakin, S. I. Pantyushin, et al.
Physics of Atomic Nuclei (2024) Vol. 87, Iss. 8, pp. 1020-1029
Closed Access
An Innovative Big Data Framework for Supporting Multidimensional Risk Analysis and Prediction over Digital Twins
Alfredo Cuzzocrea, Ismail Benlaredj
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6214-6222
Closed Access
An intelligent fault detection approach for digital integrated circuits through graph neural networks
Zulin Xu
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 9992-10006
Open Access | Times Cited: 1
Inverse method study based on Characteristic Statistic Algorithm (CSA) with application in estimating core states parameters
Qian Zhang, Zhihong Liu, Jing Zhao
Annals of Nuclear Energy (2023) Vol. 197, pp. 110260-110260
Closed Access | Times Cited: 1
Energy transition and digitalization: Small modular reactors and smart grids
Hafsa Housni, Nissrine Majit, Naïla Amrous, et al.
(2023), pp. 405-410
Closed Access | Times Cited: 1
Reduced Order Surrogate Modelling and Latent Assimilation for Dynamical Systems
Sibo Cheng, César Quilodrán-Casas, Rossella Arcucci
Lecture notes in computer science (2022), pp. 31-44
Open Access | Times Cited: 2
Reduced order digital twin and latent data assimilation for global wildfire prediction
Caili Zhang, Sibo Cheng, Matthew Kasoar, et al.
(2022)
Open Access | Times Cited: 2
An Efficient Digital Twin Based on Machine Learning Svd Autoencoder and Generalised Latent Assimilation for Nuclear Reactor Physics
Helin Gong, Sibo Cheng, Zhang Chen, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 1
Review on Reduced Order Modeling and Its Application in the Digital Twinning Industry
Kazi Tanisha Zaman Angshu, Anika Tasnim, Md Habib Ullah Khan, et al.
AIAA SCITECH 2022 Forum (2023)
Closed Access
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
arXiv (Cornell University) (2023)
Open Access
Inverse Method Study Based on Characteristic Statistic Algorithm (Csa) with Application in Estimating Core States Parameters
Qian Zhang, Zhihong Liu, Jing Zhao
(2023)
Closed Access
Identifying Parameters of Reactor Operation Digital Twin by Using Swarm and Evolutionary Algorithms
Anqi Dai, Zhenghai Liu, Tao Zhu, et al.
Journal of Physics Conference Series (2023) Vol. 2558, Iss. 1, pp. 012005-012005
Open Access
Prediction of State Transitions in 3d Core Dynamics and Xenon Transients Based on Dynamic Mode Decomposition
Wenhuai Li
(2023)
Closed Access
Mode Decomposition of Core Dynamics Transients Using Higher-Order Dmd Method
Wenhuai Li
(2023)
Closed Access
On the Accuracy and Efficiency of the Reactor Operation Digital Twin for Parameter Identification and State Estimation
Lizhan Hong, Helin Gong, Hongjun Ji, et al.
(2023)
Closed Access

Scroll to top