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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:

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

Showing 76-100 of 113 citing articles:

Optimization of hybrid data assimilation for cases of very heavy rainfall events over the Indian region
M. K. Chandragiri, S. Dubey, Somnath Baidya Roy, et al.
Bulletin of Atmospheric Science and Technology (2024) Vol. 5, Iss. 1
Closed Access
Inversion of Sea Surface Currents From Satellite‐Derived SST‐SSH Synergies With 4DVarNets
Ronan Fablet, Bertrand Chapron, Julien Le Sommer, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 6
Open Access
Autoregressive With Slack Time Series Model for Forecasting a Partially-Observed Dynamical Time Series
Akifumi Okuno, Yuya Morishita, Yoh-ichi Mototake
IEEE Access (2024) Vol. 12, pp. 24621-24630
Open Access
Machine Learning in Numerical Weather and Climate Models
Vladimir M. Krasnopolsky
Elsevier eBooks (2024)
Closed Access
Learning spatiotemporal dynamics with a pretrained generative model
Lijun Yang, Zeyu Li, Han Wang, et al.
Research Square (Research Square) (2024)
Open Access
Deep Learning for Real-Time Inverse Problems and Data Assimilation with Uncertainty Quantification for Digital Twins
Nikolaj T. Mücke
(2024)
Open Access
Neural Network as Transformation Function in Data Assimilation
Kun Wang, Matthew D. Piggott, Yanghua Wang, et al.
Lecture notes in computer science (2024), pp. 322-329
Closed Access
Reconstruction of Arctic sea ice thickness (1992–2010) based on a hybrid machine learning and data assimilation approach
Léo Edel, Jiping Xie, Anton Korosov, et al.
(2024)
Open Access
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction
Dazhou Yu, Xiaoyun Gong, Yun Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4001-4011
Open Access
Comment on egusphere-2024-1896
William Gregory
(2024)
Open Access
HyPhAICC v1.0: a hybrid physics–AI approach for probability fields advection shown through an application to cloud cover nowcasting
Rachid El Montassir, Olivier Pannekoucke, Corentin Lapeyre
Geoscientific model development (2024) Vol. 17, Iss. 17, pp. 6657-6681
Open Access
Accurate initial field estimation for weather forecasting with a variational constrained neural network
Wuxin Wang, J. Zhang, Qingguo Su, et al.
npj Climate and Atmospheric Science (2024) Vol. 7, Iss. 1
Open Access
Advances in weather and climate extreme studies: a systematic comparative review
Kamil Muhammad Kafi, Zakiah Ponrahono
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access
Bias and multiscale correction methods for variational state estimation
Felipe Galarce, Joaquín Mura, Alfonso Caiazzo
Applied Mathematical Modelling (2024) Vol. 138, pp. 115761-115761
Closed Access
Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology
Vinicius L. S. Silva, Claire E. Heaney, Nenko Nenov, et al.
Journal of Computational Science (2024), pp. 102451-102451
Open Access
A novel arctic fox survival strategy inspired optimization algorithm
E. Subha, V. Jothi Prakash, S. Arul Antran Vijay
Journal of Combinatorial Optimization (2024) Vol. 49, Iss. 1
Closed Access
Uncertainty quantification in large language models through convex hull analysis
Ferhat Özgür Çatak, Murat Kuzlu
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access
A systematic online update method for reduced-order-model-based digital twin
Yifan Tang, Pouyan Sajadi, Mostafa Rahmani Dehaghani, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Forecasting High-dimensional Spatio-Temporal Systems from Sparse Measurements
Jialin Song, Zezheng Song, Pu Ren, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045067-045067
Open Access
Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet
Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag, et al.
(2024), pp. 1-7
Open Access
Spatially-aware diffusion models with cross-attention for global field reconstruction with sparse observations
Yilin Zhuang, Sibo Cheng, Karthik Duraisamy
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 435, pp. 117623-117623
Closed Access
ViTAE-SL: a vision transformer-based autoencoder and spatial interpolation learner for field reconstruction
Hongwei Fan, Sibo Cheng, Audrey de Nazelle, et al.
Computer Physics Communications (2024) Vol. 308, pp. 109464-109464
Open Access
Natural cellular structures in engineering designs built via additive manufacturing
Munashe Ignatius Chibinyani, Thywill Cephas Dzogbewu, Maina Maringa, et al.
Materials Technology (2024) Vol. 40, Iss. 1
Open Access
Multiscale data for parametrising multiscale models
Raluca Eftimie
Physics of Life Reviews (2023) Vol. 47, pp. 124-125
Open Access | Times Cited: 1
A Four-Dimensional Variational Constrained Neural Network-based Data Assimilation Method
Wuxin Wang, Kaijun Ren, Boheng Duan, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 1

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