9 citations as recorded by crossref.

1. High-resolution Atmospheric Transfer Matrices for policy-oriented air quality assessment in Italy: the new GAINS-Italy model I. D'Elia et al. https://doi.org/10.1016/j.atmosenv.2026.122183
2. Decision Support System version 1.0 (DSS v1.0) for air quality management in Delhi, India G. Govardhan et al. https://doi.org/10.5194/gmd-17-2617-2024
3. Long-term trends and variability of ground-level ozone in Germany A. Minkos et al. https://doi.org/10.1016/j.apr.2026.103100
4. Use of the Copernicus Atmosphere Monitoring Service policy products to evaluate the contribution of EU cities to their pollution E. Pisoni et al. https://doi.org/10.1016/j.aeaoa.2022.100194
5. Predicting Concentrations of PM2.5, PM10, CO, VOC, and NOx on the Urban Scale Using Machine Learning-Based Surrogate Models P. Lewicki et al. https://doi.org/10.3390/app16010334
6. CLAQC v1.0 – Country Level Air Quality Calculator: an empirical modeling approach S. Renna et al. https://doi.org/10.5194/gmd-18-2373-2025
7. A Geographically Weighted Gaussian Process Regression (GW-GPR) emulator of anthropogenic PM2.5 from the GEOS-Chem High Performance (GCHP) 13.0.0 global chemical transport model A. Wong et al. https://doi.org/10.5194/gmd-19-3335-2026
8. Assessing the Robustness of Ozone Chemical Regimes to Chemistry-Transport Model Configurations E. Real et al. https://doi.org/10.3390/atmos15050532
9. How much does traffic flow modification change air quality? Scenario-based study J. Kamińska https://doi.org/10.1016/j.scitotenv.2025.180560