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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:

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.
Annals of Nuclear Energy (2022) Vol. 179, pp. 109431-109431
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
Sibo Cheng, César Quilodrán-Casas, Said Ouala, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 6, pp. 1361-1387
Open Access | Times Cited: 120
Reduced-order digital twin and latent data assimilation for global wildfire prediction
Caili Zhong, Sibo Cheng, Matthew Kasoar, et al.
Natural hazards and earth system sciences (2023) Vol. 23, Iss. 5, pp. 1755-1768
Open Access | Times Cited: 27
Credit risk assessment of small and micro enterprise based on machine learning
Zhouyi Gu, Jiayan Lv, Bingya Wu, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e27096-e27096
Open Access | Times Cited: 9
Reactor field reconstruction from sparse and movable sensors using Voronoi tessellation-assisted convolutional neural networks
Helin Gong, Han Li, Dunhui Xiao, et al.
Nuclear Science and Techniques (2024) Vol. 35, Iss. 5
Open Access | Times Cited: 6
Construction of influencing factor segmentation and intelligent prediction model of college students' cell phone addiction model based on machine learning algorithm
Hong Yun, Xing Rong, Wei Liu
Heliyon (2024) Vol. 10, Iss. 8, pp. e29245-e29245
Open Access | Times Cited: 5
Nonlinear model order reduction of engineering turbulence using data-assisted neural networks
Chuanhua Zhu, Jinlong Fu, Dunhui Xiao, et al.
Computer Physics Communications (2025), pp. 109501-109501
Open Access
Parameter identification and state estimation for nuclear reactor operation digital twin
Helin Gong, Tao Zhu, Zhang Chen, et al.
Annals of Nuclear Energy (2022) Vol. 180, pp. 109497-109497
Closed Access | Times Cited: 24
An open time-series simulated dataset covering various accidents for nuclear power plants
Ben Qi, Xingyu Xiao, Jingang Liang, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 24
The consumer price index prediction using machine learning approaches: Evidence from the United States
Tien-Thinh Nguyen, Hong-Giang Nguyen, Jen‐Yao Lee, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20730-e20730
Open Access | Times Cited: 15
Operator inference driven data assimilation for high fidelity neutron transport
Wei Xiao, Xiaojing Liu, Jianhua Zu, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 430, pp. 117214-117214
Closed Access | Times Cited: 4
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
Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm
Jake Lever, Sibo Cheng, César Quilodrán Casas, et al.
Journal of Computational Science (2025), pp. 102523-102523
Open Access
Probabilistic Health Monitoring and Maintenance Scheduling for Nuclear Power Systems
Ahmad Amer, Panagiotis Tsilifis, Abhinav Saxena, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
A parametric non-linear non-intrusive reduce-order model using deep transfer learning
Rui Fu, Dunhui Xiao, A.G. Buchan, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117807-117807
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
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
Analyzing drop coalescence in microfluidic devices with a deep learning generative model
Ke‐Wei Zhu, Sibo Cheng, Nina M. Kovalchuk, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 23, pp. 15744-15755
Open Access | Times Cited: 8
Constructing a probability digital twin for reactor core with Bayesian network and reduced-order model
Wenhuai Li, Jiejin Cai, Haoliang Lu, et al.
Annals of Nuclear Energy (2023) Vol. 193, pp. 110016-110016
Closed Access | Times Cited: 8
SAM-ML: Integrating data-driven closure with nuclear system code SAM for improved modeling capability
Yang Liu, Rui Hu, Ling Zou, et al.
Nuclear Engineering and Design (2022) Vol. 400, pp. 112059-112059
Open Access | Times Cited: 13
Data assimilation with machine learning for dynamical systems: Modelling indoor ventilation
Claire E. Heaney, Jieyi Tang, Jintao Yan, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 643, pp. 129783-129783
Open Access | Times Cited: 2
Mode decomposition of core dynamics transients using higher-order DMD method
Wenhuai Li, Jinggang Li, Jianfan Yao, et al.
Nuclear Engineering and Design (2024) Vol. 427, pp. 113417-113417
Closed Access | Times Cited: 2
Development of Whole System Digital Twins for Advanced Reactors: Leveraging Graph Neural Networks and SAM Simulations
Yang Liu, Farah Alsafadi, Travis Mui, et al.
Nuclear Technology (2024), pp. 1-18
Closed Access | Times Cited: 2
Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters
César Quilodrán-Casas, Qian Li, Ningbo Zhang, et al.
Environmental Modelling & Software (2024) Vol. 177, pp. 106051-106051
Closed Access | Times Cited: 1
Applicability of a proper orthogonal decomposition-based online power-distribution reconstruction code to detector reduction
Zhuo Li, Shengli Chen
Annals of Nuclear Energy (2024) Vol. 206, pp. 110645-110645
Closed Access | Times Cited: 1
Optimizing near-carbon-free nuclear energy systems: advances in reactor operation digital twin through hybrid machine learning algorithms for parameter identification and state estimation
Lizhan Hong, Helin Gong, Hongjun Ji, et al.
Nuclear Science and Techniques (2024) Vol. 35, Iss. 8
Closed Access | Times Cited: 1
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