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:
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: 113
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: 113
Showing 1-25 of 113 citing articles:
AI-empowered next-generation multiscale climate modelling for mitigation and adaptation
Veronika Eyring, Pierre Gentine, Gustau Camps‐Valls, et al.
Nature Geoscience (2024) Vol. 17, Iss. 10, pp. 963-971
Closed Access | Times Cited: 8
Veronika Eyring, Pierre Gentine, Gustau Camps‐Valls, et al.
Nature Geoscience (2024) Vol. 17, Iss. 10, pp. 963-971
Closed Access | Times Cited: 8
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
Helin Gong, Han Li, Dunhui Xiao, et al.
Nuclear Science and Techniques (2024) Vol. 35, Iss. 5
Open Access | Times Cited: 6
An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, et al.
Engineering Optimization (2025), pp. 1-47
Open Access
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, et al.
Engineering Optimization (2025), pp. 1-47
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
Jake Lever, Sibo Cheng, César Quilodrán Casas, et al.
Journal of Computational Science (2025), pp. 102523-102523
Open Access
Enhancing dynamical system modeling through interpretable machine-learning augmentations: a case study in cathodic electrophoretic deposition
Christian Jacobsen, Jiayuan Dong, Mehdi Khalloufi, et al.
Data-Centric Engineering (2025) Vol. 6
Open Access
Christian Jacobsen, Jiayuan Dong, Mehdi Khalloufi, et al.
Data-Centric Engineering (2025) Vol. 6
Open Access
Predicting spatial and temporal variability in soybean yield using deep learning and open source data
Deborah V. Gaso, Laura Elena Cué La Rosa, Laila A. Puntel, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127498-127498
Open Access
Deborah V. Gaso, Laura Elena Cué La Rosa, Laila A. Puntel, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127498-127498
Open Access
A Review of Application of Machine Learning in Storm Surge Problems
Yue Qin, Changyu Su, Dongdong Chu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1729-1729
Open Access | Times Cited: 15
Yue Qin, Changyu Su, Dongdong Chu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1729-1729
Open Access | Times Cited: 15
Efficient deep data assimilation with sparse observations and time-varying sensors
Sibo Cheng, Che Liu, Yike Guo, et al.
Journal of Computational Physics (2023) Vol. 496, pp. 112581-112581
Open Access | Times Cited: 14
Sibo Cheng, Che Liu, Yike Guo, et al.
Journal of Computational Physics (2023) Vol. 496, pp. 112581-112581
Open Access | Times Cited: 14
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks
Simon Driscoll, Alberto Carrassi, Julien Brajard, et al.
Journal of Computational Science (2024) Vol. 79, pp. 102231-102231
Open Access | Times Cited: 5
Simon Driscoll, Alberto Carrassi, Julien Brajard, et al.
Journal of Computational Science (2024) Vol. 79, pp. 102231-102231
Open Access | Times Cited: 5
3D‐Var data assimilation using a variational autoencoder
Boštjan Melinc, Žiga Zaplotnik
Quarterly Journal of the Royal Meteorological Society (2024) Vol. 150, Iss. 761, pp. 2273-2295
Open Access | Times Cited: 4
Boštjan Melinc, Žiga Zaplotnik
Quarterly Journal of the Royal Meteorological Society (2024) Vol. 150, Iss. 761, pp. 2273-2295
Open Access | Times Cited: 4
A Four‐Dimensional Variational Constrained Neural Network‐Based Data Assimilation Method
Wuxin Wang, Kaijun Ren, Boheng Duan, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Wuxin Wang, Kaijun Ren, Boheng Duan, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Revisiting Tensor Basis Neural Network for Reynolds stress modeling: Application to plane channel and square duct flows
Jiayi Cai, Pierre-Emmanuel Angeli, Jean Martínez, et al.
Computers & Fluids (2024) Vol. 275, pp. 106246-106246
Open Access | Times Cited: 3
Jiayi Cai, Pierre-Emmanuel Angeli, Jean Martínez, et al.
Computers & Fluids (2024) Vol. 275, pp. 106246-106246
Open Access | Times Cited: 3
Interpretable Structural Model Error Discovery From Sparse Assimilation Increments Using Spectral Bias‐Reduced Neural Networks: A Quasi‐Geostrophic Turbulence Test Case
Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 3
Open Access | Times Cited: 3
Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 3
Open Access | Times Cited: 3
Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation
Jian Wang, Jie Liu, Yanglong Lu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108385-108385
Closed Access | Times Cited: 3
Jian Wang, Jie Liu, Yanglong Lu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108385-108385
Closed Access | Times Cited: 3
Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic
Charlotte Durand, Tobias Sebastian Finn, Alban Farchi, et al.
The cryosphere (2024) Vol. 18, Iss. 4, pp. 1791-1815
Open Access | Times Cited: 3
Charlotte Durand, Tobias Sebastian Finn, Alban Farchi, et al.
The cryosphere (2024) Vol. 18, Iss. 4, pp. 1791-1815
Open Access | Times Cited: 3
Enhancing water-carbon fluxes and yield predictions of winter wheat using irrigation and data assimilation techniques in a land surface model
Tongren Xu, Gangqiang Zhang, Fei Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109140-109140
Closed Access | Times Cited: 3
Tongren Xu, Gangqiang Zhang, Fei Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109140-109140
Closed Access | Times Cited: 3
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
Gabriel Serrão Seabra, Nikolaj T. Mücke, Vinicius L. S. Silva, et al.
International journal of greenhouse gas control (2024) Vol. 136, pp. 104190-104190
Open Access | Times Cited: 3
Gabriel Serrão Seabra, Nikolaj T. Mücke, Vinicius L. S. Silva, et al.
International journal of greenhouse gas control (2024) Vol. 136, pp. 104190-104190
Open Access | Times Cited: 3
On the Uncertainty Analysis of the Data-Enabled Physics-Informed Neural Network for Solving Neutron Diffusion Eigenvalue Problem
Yang Yu, Helin Gong, Qiaolin He, et al.
Nuclear Science and Engineering (2023) Vol. 198, Iss. 5, pp. 1075-1096
Open Access | Times Cited: 8
Yang Yu, Helin Gong, Qiaolin He, et al.
Nuclear Science and Engineering (2023) Vol. 198, Iss. 5, pp. 1075-1096
Open Access | Times Cited: 8
An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering
Sofian Kassaymeh, Salwani Abdullah, Mohammed Azmi Al‐Betar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 3877-3925
Closed Access | Times Cited: 8
Sofian Kassaymeh, Salwani Abdullah, Mohammed Azmi Al‐Betar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 3877-3925
Closed Access | Times Cited: 8
Data assimilation of PS-InSAR vertical deformation into a frost heave model to analyze subgrade deformation of high-speed railway in northwest China
Wei Guanjun, Chuanjin Lei, Maoning Gao, et al.
Cold Regions Science and Technology (2023) Vol. 218, pp. 104059-104059
Closed Access | Times Cited: 8
Wei Guanjun, Chuanjin Lei, Maoning Gao, et al.
Cold Regions Science and Technology (2023) Vol. 218, pp. 104059-104059
Closed Access | Times Cited: 8
Physics-informed neural networks modelling for systems with moving immersed boundaries: Application to an unsteady flow past a plunging foil
Rahul Sundar, Dipanjan Majumdar, Didier Lucor, et al.
Journal of Fluids and Structures (2024) Vol. 125, pp. 104066-104066
Open Access | Times Cited: 2
Rahul Sundar, Dipanjan Majumdar, Didier Lucor, et al.
Journal of Fluids and Structures (2024) Vol. 125, pp. 104066-104066
Open Access | Times Cited: 2
Reinforcement Twinning: From Digital Twins to Model-Based Reinforcement Learning
Lorenzo Schena, Pedro Afonso Marques, Romain Poletti, et al.
(2024)
Open Access | Times Cited: 2
Lorenzo Schena, Pedro Afonso Marques, Romain Poletti, et al.
(2024)
Open Access | Times Cited: 2
