10 citations as recorded by crossref.

1. Random forest models for PM2.5 speciation concentrations using MISR fractional AODs G. Geng et al. 10.1088/1748-9326/ab76df
2. Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications P. deSouza et al. 10.5194/amt-13-5319-2020
3. Satellite mapping of PM<sub>2.5</sub> episodes in the wintertime San Joaquin Valley: a “static” model using column water vapor R. Chatfield et al. 10.5194/acp-20-4379-2020
4. Review: Strategies for using satellite-based products in modeling PM2.5 and short-term pollution episodes M. Sorek-Hamer et al. 10.1016/j.envint.2020.106057
5. MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al. 10.5194/amt-17-471-2024
6. Air pollution in Germany: Spatio-temporal variations and their driving factors based on continuous data from 2008 to 2018 X. Liu et al. 10.1016/j.envpol.2021.116732
7. Ambient traffic related air pollution in relation to ovarian reserve and oocyte quality in young, healthy oocyte donors S. LaPointe et al. 10.1016/j.envint.2023.108382
8. A Bayesian ensemble approach to combine PM2.5 estimates from statistical models using satellite imagery and numerical model simulation N. Murray et al. 10.1016/j.envres.2019.108601
9. On the added value of satellite AOD for the investigation of ground-level PM2.5 variability J. Handschuh et al. 10.1016/j.atmosenv.2024.120601
10. A Validation Approach Considering the Uneven Distribution of Ground Stations for Satellite-Based PM2.5 Estimation T. Li et al. 10.1109/JSTARS.2020.2977668