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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:

Deep Learning for Bias‐Correcting CMIP6‐Class Earth System Models
Philipp Hess, Stefan Lange, Christof Schötz, et al.
Earth s Future (2023) Vol. 11, Iss. 10
Open Access | Times Cited: 14

Showing 14 citing articles:

Improving CMIP6 Atmospheric River Precipitation Estimation by Cycle‐Consistent Generative Adversarial Networks
Yuan Tian, Yang Zhao, Jianping Li, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 14
Closed Access | Times Cited: 15
Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks: Climatology, Interannual Variability, and Extremes
Ya Wang, Gang Huang, Baoxiang Pan, et al.
Advances in Atmospheric Sciences (2024) Vol. 41, Iss. 7, pp. 1299-1312
Closed Access | Times Cited: 7
Koreksi Bias Data Hujan Proyeksi Coupled Model Intercomparison Project Phase 6 (Cmip6) Di Kota Bima
I Putu Hartawan, Muhamad Zaky Ibnu Malik, Laifhan Setyo Qhairaan, et al.
Cerdika Jurnal Ilmiah Indonesia (2025) Vol. 5, Iss. 1, pp. 57-66
Closed Access
Enhancing Sea Ice Concentration Resolution in a Northern Sea Route Strait Using a Generative Adversarial Network
Maria Luisa Rocha Santos, Amanda H. Lynch, Karianne J. Bergen
Journal of Geophysical Research Machine Learning and Computation (2025) Vol. 2, Iss. 1
Open Access
Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning
Philipp Hess, Michael Aich, Baoxiang Pan, et al.
Nature Machine Intelligence (2025)
Open Access
The Effects of Increasing the Coupling Frequency and Considering the Sublayer Temperature on the Simulation by CAS‐ESM2
Xiao Dong, Run Guo, Jiangbo Jin, et al.
Journal of Geophysical Research Atmospheres (2025) Vol. 130, Iss. 1
Closed Access
Enforcing Equity in Neural Climate Emulators
William Yik, Sam J. Silva
Geophysical Research Letters (2025) Vol. 52, Iss. 8
Open Access
Multivariate bias correction and downscaling of climate models with trend-preserving deep learning
Fang Wang, Di Tian
Climate Dynamics (2024) Vol. 62, Iss. 10, pp. 9651-9672
Open Access | Times Cited: 2
Global emergence of regional heatwave hotspots outpaces climate model projections
Kai Kornhuber, Samuel Bartusek, Richard Seager, et al.
EarthArXiv (California Digital Library) (2024)
Open Access | Times Cited: 1
UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate Models
Shuang Yu, Indrasis Chakraborty, Gemma J. Anderson, et al.
Artificial Intelligence for the Earth Systems (2024) Vol. 3, Iss. 3
Open Access
The Key Role of Temporal Stratification for GCM Bias Correction in Climate Impact Assessments
Nicolás Vasquéz, Pablo A. Mendoza, Wouter Knoben, et al.
Earth s Future (2024) Vol. 12, Iss. 8
Open Access
Augmenting the real-time rainfall forecast skills over odisha using deep learning technique
Omveer Sharma, Dhananjay Trivedi, Sandeep Pattnaik, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
Current Progress in Subseasonal-to-Decadal Prediction based on Machine Learning
Zixiong Shen, Qiming Sun, Xinyu Lu, et al.
Applied Computing and Geosciences (2024), pp. 100201-100201
Open Access
Improving GCM‐Based Decadal Ocean Carbon Flux Predictions Using Observationally‐Constrained Statistical Models
Parsa Gooya, Neil C. Swart, Peter Landschützer
Earth s Future (2024) Vol. 12, Iss. 12
Open Access
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