14 citations as recorded by crossref.

1. Gaussian dispersion model for low-lying smoke from a wildfire including downwind ground effects N. Kalogeropoulos et al. https://doi.org/10.1016/j.jlp.2026.106043
2. Wildfire plumes in the Western US are reaching greater heights and injecting more aerosols aloft as wildfire activity intensifies T. Wilmot et al. https://doi.org/10.1038/s41598-022-16607-3
3. Impacts of fire-induced heat, moisture, and aerosol-radiation interactions on wildfire plume rise during the 2019/2020 Australian fires L. Muth et al. https://doi.org/10.5194/acp-26-8505-2026
4. Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al. https://doi.org/10.1016/j.apr.2026.102921
5. Wildfire Smoke Observations in the Western United States from the Airborne Wyoming Cloud Lidar during the BB-FLUX Project. Part I: Data Description and Methodology M. Deng et al. https://doi.org/10.1175/JTECH-D-21-0092.1
6. Influence of wildfire emissions to carbon dioxide (CO2) observed at the Mt. Cimone station (Italy, 2165 m asl): A multi-year investigation P. Cristofanelli et al. https://doi.org/10.1016/j.atmosenv.2024.120577
7. Emulating Wildfire Plume Injection Using Machine Learning Trained by Large Eddy Simulation (LES) S. Wang https://doi.org/10.1021/acs.est.4c05095
8. VogCast: A Framework for Modeling Volcanic Air Pollution and Its Application to the 2022 Eruption of Mauna Loa Volcano, Hawai'i N. Moisseeva et al. https://doi.org/10.1029/2023JD039281
9. Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al. https://doi.org/10.3390/atmos16111221
10. Estimated Impacts of Prescribed Fires on Air Quality and Premature Deaths in Georgia and Surrounding Areas in the US, 2015–2020 K. Maji et al. https://doi.org/10.1021/acs.est.4c00890
11. Analysis of methods for assimilating fire perimeters into a coupled fire-atmosphere model A. Kochanski et al. https://doi.org/10.3389/ffgc.2023.1203578
12. Evaluating post-fire watershed response to varying burn severity and precipitation regimes using fully-distributed and integrated hydrologic models Z. Li et al. https://doi.org/10.1016/j.jhydrol.2025.134538
13. Convolutional neural networks for wildfire spread and intensity prediction M. Moradpour et al. https://doi.org/10.1016/j.acags.2026.100355
14. Helicopter trajectory planning method based on improved IRRT*-D* algorithm in forest fire rescue scenarios J. Yuan et al. https://doi.org/10.1016/j.aei.2025.103947