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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:

Observation data compression for variational assimilation of dynamical systems
Sibo Cheng, Didier Lucor, Jean‐Philippe Argaud
Journal of Computational Science (2021) Vol. 53, pp. 101405-101405
Open Access | Times Cited: 22

Showing 22 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
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
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
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
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
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
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant
Yilin Zhuang, Yixuan Liu, Akhil Ahmed, et al.
Computers in Industry (2022) Vol. 143, pp. 103747-103747
Closed Access | Times Cited: 20
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
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
Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks
Sibo Cheng, Mingming Qiu
Neural Computing and Applications (2021) Vol. 34, Iss. 16, pp. 13149-13167
Open Access | Times Cited: 19
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
Adaptive Recognition of Bioacoustic Signals in Smart Aquaculture Engineering Based on r-Sigmoid and Higher-Order Cumulants
Tianyu Cao, Xiaoqun Zhao, Yichen Yang, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2277-2277
Open Access | Times Cited: 5
Enhancing the SVD compression losslessly
Huiwen Wang, Yanwen Zhang, Jichang Zhao
Journal of Computational Science (2023) Vol. 74, pp. 102182-102182
Closed Access | Times Cited: 2
Hardware-friendly compression and hardware acceleration for transformer: A survey
Shizhen Huang, Enhao Tang, Shun Li, et al.
Electronic Research Archive (2022) Vol. 30, Iss. 10, pp. 3755-3785
Open Access | Times Cited: 3
Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale
Sibo Cheng, Hector Chassagnon, Matthew Kasoar, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024), pp. 1-11
Open Access
TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions
Sibo Cheng, Jinyang Min, Che Liu, et al.
Computer Physics Communications (2024) Vol. 306, pp. 109359-109359
Open Access
Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting
Jake Lever, Sibo Cheng, Rossella Arcucci
Lecture notes in computer science (2023), pp. 422-429
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
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
Compression of surface texture acceleration signal based on spectrum characteristics
Dongyan Nie, Xiaoying Sun
Virtual Reality & Intelligent Hardware (2023) Vol. 5, Iss. 2, pp. 110-123
Open Access
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