15 citations as recorded by crossref.

1. Forest fire susceptibility mapping based on precipitation-constrained cumulative dryness status information in Southeast China: A novel machine learning modeling approach L. Zhao et al.
2. Predicting wildfire burns from big geodata using deep learning J. Bergado et al.
3. AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics F. Li et al.
4. Machine learning for ecological analysis Z. Yu et al.
5. Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series Y. Michael et al.
6. The Proximal Drivers of Large Fires: A Pyrogeographic Study H. Clarke et al.
7. Integrated Investigation of the Time Dynamics of Forest Fire Sequences in Basilicata Region (Southern Italy) L. Telesca & R. Lasaponara
8. Post-fire vegetation dynamics of a temperate mixed forest: An assessment based on the variability of Landsat spectral indices J. Ibarra-Bonilla et al.
9. Chimera: A Multi-Task Recurrent Convolutional Neural Network for Forest Classification and Structural Estimation T. Chang et al.
10. Machine learning in landscape ecological analysis: a review of recent approaches M. Stupariu et al.
11. Wildfire Impacts on Groundwater Aquifers: A Case Study of the 1996 Honey Boy Fire in Beaver County, Utah, USA B. Johnk & D. Mays
12. Antecedent Hydrometeorological Conditions of Wildfire Occurrence in the Western U.S. in a Changing Climate X. Chen et al.
13. Seasonally-decomposed Sentinel-1 backscatter time-series are useful indicators of peatland wildfire vulnerability K. Millard et al.
14. Artificial intelligence in wildland–urban interface wildfire management: a two‑phase review combining bibliometric mapping and thematic analysis D. Silva et al.
15. Spatial Representation of Soil Erosion and Vegetation Affected by a Forest Fire in the Sierra de Francia (Spain) Using RUSLE and NDVI G. Fernández et al.