11 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 10.1038/s41370-021-00328-2
2. Research progress, challenges, and prospects of PM2.5 concentration estimation using satellite data S. Zhu et al. 10.1139/er-2022-0125
3. Data augmentation for bias correction in mapping PM2.5 based on satellite retrievals and ground observations T. Mi et al. 10.1016/j.gsf.2023.101686
4. A MISR-Based Method for the Estimation of Particle Size Distribution: Comparison with AERONET over China Y. Shao et al. 10.34133/remotesensing.0032
5. Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings A. Wang et al. 10.1016/j.atmosenv.2023.119692
6. 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. 10.1016/j.scitotenv.2023.161471
7. Satellite data to support air quality assessment and management T. Holloway et al. 10.1080/10962247.2025.2484153
8. Calibration methodology of low-cost sensors for high-quality monitoring of fine particulate matter M. Aix et al. 10.1016/j.scitotenv.2023.164063
9. MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al. 10.5194/amt-17-471-2024
10. Evaluating the Performance of Low-Cost PM2.5Sensors in Mobile Settings P. deSouza et al. 10.1021/acs.est.3c04843
11. An analysis of degradation in low-cost particulate matter sensors P. deSouza et al. 10.1039/D2EA00142J