14 citations as recorded by crossref.

1. On the distribution of low-cost PM2.5 sensors in the US: demographic and air quality associations P. deSouza & P. Kinney https://doi.org/10.1038/s41370-021-00328-2
2. Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data S. Zhu et al. https://doi.org/10.1139/er-2022-0125
3. A Physics-Informed Framework Linking Satellite AOD and Ambient Particulate Matter: A Pilot Study G. Proietti Pelliccia et al. https://doi.org/10.3390/atmos17070627
4. Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations T. Mi et al. https://doi.org/10.1016/j.gsf.2023.101686
5. A MISR-Based Method for the Estimation of Particle Size Distribution: Comparison with AERONET over China Y. Shao et al. https://doi.org/10.34133/remotesensing.0032
6. Ambient PM2.5 Exposure Modeling in LMICs: An Example from Peru L. Blanco-Villafuerte et al. https://doi.org/10.1007/s40572-025-00508-4
7. Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings A. Wang et al. https://doi.org/10.1016/j.atmosenv.2023.119692
8. Embedded information of aerosol type, hygroscopicity and scattering enhancement factor revealed by the relationship between PM2.5 and aerosol optical depth K. Chang et al. https://doi.org/10.1016/j.scitotenv.2023.161471
9. Satellite data to support air quality assessment and management T. Holloway et al. https://doi.org/10.1080/10962247.2025.2484153
10. Calibration methodology of low-cost sensors for high-quality monitoring of fine particulate matter M. Aix et al. https://doi.org/10.1016/j.scitotenv.2023.164063
11. MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al. https://doi.org/10.5194/amt-17-471-2024
12. Experts and end users discuss best practices and obstacles for deploying PM2.5 sensors in scientific, community, and educational settings K. Okorn et al. https://doi.org/10.1016/j.isci.2026.115333
13. Evaluating the Performance of Low-Cost PM2.5Sensors in Mobile Settings P. deSouza et al. https://doi.org/10.1021/acs.est.3c04843
14. Satellite-derived air quality data can effectively support health needs when use cases, Earth observing capabilities, and capacities align N. Pavlovic et al. https://doi.org/10.1080/10962247.2026.2698602