32 citations as recorded by crossref.

1. Can Simple Machine Learning Tools Extend and Improve Temperature-Based Methods to Infer Streambed Flux? M. Moghaddam et al. 10.3390/w13202837
2. Modeling Perennial Bioenergy Crops in the E3SM Land Model (ELMv2) E. Sinha et al. 10.1029/2022MS003171
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5. A model-data fusion approach for quantifying the carbon budget in cotton agroecosystems across the United States R. Qin et al. 10.1016/j.agrformet.2025.110407
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8. A Computationally Efficient, Time-Dependent Model of the Solar Wind for Use as a Surrogate to Three-Dimensional Numerical Magnetohydrodynamic Simulations M. Owens et al. 10.1007/s11207-020-01605-3
9. Angle information enhanced kriging-assisted adaptive evolutionary algorithm for computationally highly expensive high-dimensional problems H. Lu et al. 10.1016/j.swevo.2025.101992
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12. Developing an integrated technology-environment-economics model to simulate food-energy-water systems in Corn Belt watersheds S. Li et al. 10.1016/j.envsoft.2021.105083
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14. Hector V3.2.0: functionality and performance of a reduced-complexity climate model K. Dorheim et al. 10.5194/gmd-17-4855-2024
15. Removal of Powerline Noise in Geophysical Datasets With a Scientific Machine-Learning Based Approach J. Larsen et al. 10.1109/TGRS.2022.3223737
16. Machine learning-based surrogate modelling of a robust, sustainable development goal (SDG)-compliant land-use future for Australia at high spatial resolution M. Khan et al. 10.1016/j.jenvman.2024.121296
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21. Quantifying uncertainty in simulations of the West African monsoon with the use of surrogate models M. Fischer et al. 10.5194/wcd-5-511-2024
22. An ultrahigh-resolution E3SM land model simulation framework and its first application to the Seward Peninsula in Alaska F. Yuan et al. 10.1016/j.jocs.2023.102145
23. Using Machine Learning for Climate Modelling: Application of Neural Networks to a Slow-Fast Chaotic Dynamical System as a Case Study S. Soldatenko & Y. Angudovich 10.3390/cli12110189
24. Toward Stable, General Machine‐Learned Models of the Atmospheric Chemical System M. Kelp et al. 10.1029/2020JD032759
25. Evaluating Long-Term Treatment Performance and Cost of Nutrient Removal at Water Resource Recovery Facilities under Stochastic Influent Characteristics Using Artificial Neural Networks as Surrogates for Plantwide Modeling S. Li et al. 10.1021/acsestengg.1c00179
26. Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
27. 100 years of data is not enough to establish reliable drought thresholds R. Link et al. 10.1016/j.hydroa.2020.100052
28. Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost E. Sahin 10.1007/s00477-022-02330-y
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30. A numerical compass for experiment design in chemical kinetics and molecular property estimation M. Krüger et al. 10.1186/s13321-024-00825-0
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