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:

Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
Sibo Cheng, I. Colin Prentice, Yuhan Huang, et al.
Journal of Computational Physics (2022) Vol. 464, pp. 111302-111302
Open Access | Times Cited: 71

Showing 1-25 of 71 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

Big Data in Earth system science and progress towards a digital twin
Xin Li, Min Feng, Youhua Ran, et al.
Nature Reviews Earth & Environment (2023) Vol. 4, Iss. 5, pp. 319-332
Closed Access | Times Cited: 114

Forecasting global climate drivers using Gaussian processes and convolutional autoencoders
James Donnelly, Alireza Daneshkhah, Soroush Abolfathi
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107536-107536
Open Access | Times Cited: 64

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Sibo Cheng, Jianhua Chen, Charitos Anastasiou, et al.
Journal of Scientific Computing (2022) Vol. 94, Iss. 1
Open Access | Times Cited: 58

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

Parameter Flexible Wildfire Prediction Using Machine Learning Techniques: Forward and Inverse Modelling
Sibo Cheng, Yufang Jin, Sandy P. Harrison, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3228-3228
Open Access | Times Cited: 44

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

Deep-learning assisted reduced order model for high-dimensional flow prediction from sparse data
Jiaxin Wu, Dunhui Xiao, Min Luo
Physics of Fluids (2023) Vol. 35, Iss. 10
Closed Access | Times Cited: 21

A Survey of Recent Advances in Quantum Generative Adversarial Networks
Tuan A. Ngo, Tuyen Nguyen, Truong Cong Thang
Electronics (2023) Vol. 12, Iss. 4, pp. 856-856
Open Access | Times Cited: 20

Liquid–Liquid Dispersion Performance Prediction and Uncertainty Quantification Using Recurrent Neural Networks
Fuyue Liang, Juan Pablo Valdés, Sibo Cheng, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 17, pp. 7853-7875
Open Access | Times Cited: 5

Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems
Sibo Cheng, Yilin Zhuang, Lyes Kahouadji, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 430, pp. 117201-117201
Open Access | Times Cited: 5

AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, et al.
AIMS Geosciences (2024) Vol. 10, Iss. 4, pp. 684-734
Open Access | Times Cited: 5

Forest Fire Spread Prediction and Assimilation Using the Deterministic Ensemble Kalman Filter
Tianyu Wu, Qixing Zhang, Jiping Zhu, et al.
Fire Technology (2025)
Closed Access

Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device
Yilin Zhuang, Sibo Cheng, Nina M. Kovalchuk, et al.
Lab on a Chip (2022) Vol. 22, Iss. 17, pp. 3187-3202
Open Access | Times Cited: 22

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: 15

Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline
Konstantinos Filippou, George Aifantis, George A. Papakostas, et al.
Information (2023) Vol. 14, Iss. 4, pp. 232-232
Open Access | Times Cited: 13

A novel data-driven reduced-order model for the fast prediction of gas-solid heat transfer in fluidized beds
Xiaofei Li, Qilong Xu, Shuai Wang, et al.
Applied Thermal Engineering (2024) Vol. 253, pp. 123670-123670
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

PyTorchFire: A GPU-accelerated wildfire simulator with Differentiable Cellular Automata
Zeyu Xia, Sibo Cheng
Environmental Modelling & Software (2025), pp. 106401-106401
Open Access

Optimisation of Microfluidic Synthesis of Silver Nanoparticles via Data-driven Inverse Modelling
Konstantia Nathanael, Sibo Cheng, Nina M. Kovalchuk, et al.
Process Safety and Environmental Protection (2025)
Open Access

Real-time updating of dynamic social networks for COVID-19 vaccination strategies
Sibo Cheng, Christopher C. Pain, Yike Guo, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 15, Iss. 3, pp. 1981-1994
Open Access | Times Cited: 12

Self-updating digital twin of a hydrogen-powered furnace using data assimilation
Laura Donato, Chiara Galletti, Alessandro Parente
Applied Thermal Engineering (2023) Vol. 236, pp. 121431-121431
Closed Access | Times Cited: 12

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