15 citations as recorded by crossref.

1. A Fortran–Python interface for integrating machine learning parameterization into earth system models T. Zhang et al.
2. Burning questions on wildfire Y. Qian
3. Understanding drivers and biases of simulated CO emissions from the INFERNO fire model over South America M. Velásquez-García et al.
4. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al.
5. Projection of Future Fire Emissions Over the Contiguous US Using Explainable Artificial Intelligence and CMIP6 Models S. Wang et al.
6. Mortality Burden from Wildfire Smoke Under Climate Change M. Qiu et al.
7. A Two-Stage Interpretable Machine Learning Framework for Accurate Prediction of Trace Pollutants: With an Application to Microcystin S. Wu et al.
8. Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al.
9. Regional climate change: consensus, discrepancies, and ways forward T. Shaw et al.
10. Antecedent Hydrometeorological Conditions of Wildfire Occurrence in the Western U.S. in a Changing Climate X. Chen et al.
11. Machine Learning for predicting climate change in the environment: Review B. Fernández-Baldeón et al.
12. A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al.
13. Extension of Large Fire Emissions From Summer to Autumn and Its Drivers in the Western US S. Wang et al.
14. Wildfire smoke exposure and mortality burden in the USA under climate change M. Qiu et al.
15. Radiative impact of record-breaking wildfires from integrated ground-based data E. Kassianov et al.