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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:

Implicit learning of convective organization explains precipitation stochasticity
Sara Shamekh, Kara D. Lamb, Y. Huang, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 20
Open Access | Times Cited: 25

Showing 25 citing articles:

Monthly climate prediction using deep convolutional neural network and long short-term memory
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 25
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: 17
Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review
Sancho Salcedo‐Sanz, Jorge Pérez-Aracíl, Guido Ascenso, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 1-44
Open Access | Times Cited: 28
Generative Data‐Driven Approaches for Stochastic Subgrid Parameterizations in an Idealized Ocean Model
Pavel Perezhogin, Laure Zanna, Carlos Fernandez‐Granda
Journal of Advances in Modeling Earth Systems (2023) Vol. 15, Iss. 10
Open Access | Times Cited: 18
History matching for geological carbon storage using data-space inversion with spatio-temporal data parameterization
Su Jiang, Louis J. Durlofsky
International journal of greenhouse gas control (2024) Vol. 134, pp. 104124-104124
Open Access | Times Cited: 6
Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer Using Neural Networks
Aakash Sane, Brandon G. Reichl, Alistair Adcroft, et al.
Journal of Advances in Modeling Earth Systems (2023) Vol. 15, Iss. 10
Open Access | Times Cited: 13
Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
Andrew Brettin, Laure Zanna, Elizabeth A. Barnes
Geophysical Research Letters (2025) Vol. 52, Iss. 4
Open Access
Constrained Earth system models show a stronger reduction in future Northern Hemisphere snowmelt water
Yuanfang Chai, Chiyuan Miao, Pierre Gentine, et al.
Nature Climate Change (2025)
Closed Access
Navigating the Noise: Bringing Clarity to ML Parameterization Design With O $\boldsymbol{\mathcal{O}}$(100) Ensembles
Jerry Lin, Sungduk Yu, Liran Peng, et al.
Journal of Advances in Modeling Earth Systems (2025) Vol. 17, Iss. 4
Open Access
Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties With Deep Learning Multi‐Member and Stochastic Parameterizations
Gunnar Behrens, Tom Beucler, Fernando Iglesias‐Suarez, et al.
Journal of Advances in Modeling Earth Systems (2025) Vol. 17, Iss. 4
Open Access
Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields
Fabrizio Falasca, Pavel Perezhogin, Laure Zanna
Physical review. E (2024) Vol. 109, Iss. 4
Open Access | Times Cited: 3
An Ensemble of Neural Networks for Moist Physics Processes, Its Generalizability and Stable Integration
Yilun Han, Guang J. Zhang, Yong Wang
Journal of Advances in Modeling Earth Systems (2023) Vol. 15, Iss. 10
Open Access | Times Cited: 7
How to Achieve a 50% Reduction in Nutrient Losses From Agricultural Catchments Under Different Climate Trajectories?
Maarten Wynants, Johan Strömqvist, Lukas Hallberg, et al.
Earth s Future (2024) Vol. 12, Iss. 7
Open Access | Times Cited: 2
Data Imbalance, Uncertainty Quantification, and Transfer Learning in Data‐Driven Parameterizations: Lessons From the Emulation of Gravity Wave Momentum Transport in WACCM
Y. Qiang Sun, Hamid A. Pahlavan, Ashesh Chattopadhyay, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 7
Open Access | Times Cited: 2
Climate change accelerates water and biogeochemical cycles in temperate agricultural catchments
Magdalena Bieroza, Lukas Hallberg, John Livsey, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175365-175365
Open Access | Times Cited: 2
Interpretable Multiscale Machine Learning‐Based Parameterizations of Convection for ICON
H Heuer, Mierk Schwabe, Pierre Gentine, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 8
Open Access | Times Cited: 2
The Role of Cold Pools in Modulating Convective Organization During the MJO
Mingyue Tang, Giuseppe Torri, Naoko Sakaeda
Geophysical Research Letters (2024) Vol. 51, Iss. 13
Open Access | Times Cited: 1
Deep-learning-driven simulations of boundary layer clouds over the Southern Great Plains
Tianning Su, Yunyan Zhang
Geoscientific model development (2024) Vol. 17, Iss. 16, pp. 6319-6336
Open Access | Times Cited: 1
Embedding machine-learnt sub-grid variability improves climate model precipitation patterns
Daniel Giles, James Briant, Cyril Morcrette, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 1
History Matching for Geological Carbon Storage Using Data-Space Inversion with Spatio-Temporal Data Parameterization
Su Jiang, Louis J. Durlofsky
(2023)
Open Access | Times Cited: 3
Assessing Memory in Convection Schemes Using Idealized Tests
Yi-Ling Hwong, Maxime Colin, Philipp Aglas-Leitner, et al.
Journal of Advances in Modeling Earth Systems (2023) Vol. 15, Iss. 12
Open Access | Times Cited: 3
Data Imbalance, Uncertainty Quantification, and Generalization via Transfer Learning in Data-driven Parameterizations: Lessons from the Emulation of Gravity Wave Momentum Transport in WACCM
Y. Qiang Sun, Hamid Pahlavan, Ashesh Chattopadhyay, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 3
Memory-based parameterization with differentiable solver: Application to Lorenz ’96
Mohamed Aziz Bhouri, Pierre Gentine
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 7
Open Access | Times Cited: 2
A Stable Implementation of a Data‐Driven Scale‐Aware Mesoscale Parameterization
Pavel Perezhogin, Cheng Zhang, Alistair Adcroft, et al.
Journal of Advances in Modeling Earth Systems (2024) Vol. 16, Iss. 10
Open Access
Unsupervised Meteorological Downscaling Based on Dual Learning and Subgrid-scale Auxiliary Information
Jing Hu, Junjin Mu, Xiaomeng Huang, et al.
Advances in Atmospheric Sciences (2024) Vol. 42, Iss. 1, pp. 53-66
Closed Access
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