Most cited
This page lists all time most cited articles for this title. Please use the publication date filters on the left if you would like to restrict this list to recently published content, for example to articles published in the last three years. The number of times each article was cited is displayed to the right of its title and can be clicked to access a list of all titles this article has been cited by.
- Cited by 31
Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset
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- Published online by Cambridge University Press:
- 09 June 2022, e8
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- Cited by 25
Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science
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- Published online by Cambridge University Press:
- 13 April 2022, e6
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- Cited by 11
Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
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- 13 April 2022, e5
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- Cited by 8
Evolution of machine learning in environmental science—A perspective
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- 13 April 2022, e3
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- Cited by 8
ResDeepD: A residual super-resolution network for deep downscaling of daily precipitation over India
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- 25 November 2022, e19
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- Cited by 6
Forecasting commodity returns by exploiting climate model forecasts of the El Niño Southern Oscillation
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- 13 April 2022, e7
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- Cited by 6
DL4DS—Deep learning for empirical downscaling
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- 16 January 2023, e3
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- Cited by 5
Variable ranking and selection with random forest for unbalanced data
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- 20 December 2022, e30
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- Cited by 5
Physics-informed learning of aerosol microphysics
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- 28 November 2022, e20
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- Cited by 4
Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning
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- 22 June 2022, e9
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- Cited by 3
Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks
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- 13 April 2022, e2
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- Cited by 3
Statistical mechanics in climate emulation: Challenges and perspectives
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- 11 November 2022, e16
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- Cited by 3
Exploring decomposition of temporal patterns to facilitate learning of neural networks for ground-level daily maximum 8-hour average ozone prediction
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- 01 July 2022, e10
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- Cited by 2
Identifying climate models based on their daily output using machine learning
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- 03 July 2023, e22
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- Cited by 2
Machine learning for activity-based road transportation emissions estimation
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- 20 November 2023, e38
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- Cited by 2
Environmental sensor placement with convolutional Gaussian neural processes
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- 03 August 2023, e32
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- Cited by 2
Toward low-cost automated monitoring of life below water with deep learning
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- 13 June 2023, e13
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- Cited by 2
Predicting cyclone landfall using mutual information and dilated recurrent neural network
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- 25 November 2022, e18
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- Cited by 2
Unsupervised domain adaptation for Global Precipitation Measurement satellite constellation using Cycle Generative Adversarial Nets
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- 06 December 2022, e24
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- Cited by 2
Modeling stratospheric polar vortex variation and identifying vortex extremes using explainable machine learning
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- 21 November 2022, e17
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