39 citations as recorded by crossref.

1. Development of an inorganic and organic aerosol model (CHIMERE 2017β v1.0): seasonal and spatial evaluation over Europe F. Couvidat et al. https://doi.org/10.5194/gmd-11-165-2018
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3. PM2.5 Composition, Sources, and Health Risks in Madinah, Saudi Arabia: A Pre-Vision 2030 Baseline Y. Alsufayan et al. https://doi.org/10.3390/environments13090502
4. Internet GIS-Based Air Quality Monitoring and Forecast System for the Indian Region Using FOSS4G K. Oberai et al. https://doi.org/10.1007/s12524-021-01478-4
5. The varying driving forces of PM2.5 concentrations in Chinese cities: Insights from a geographically and temporally weighted regression model Q. Liu et al. https://doi.org/10.1016/j.envint.2020.106168
6. Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec S. Yamanouchi et al. https://doi.org/10.5194/gmd-17-3579-2024
7. Impact of reduction of CO2 emissions in the households and tertiary sector on PM2.5 concentration and human health J. Zyśk et al. https://doi.org/10.1088/1755-1315/642/1/012020
8. Does administrative division adjustment reduce air pollution? Evidence from city-county mergers in China K. Lv et al. https://doi.org/10.1016/j.eap.2024.09.031
9. Assessing the value of air stagnation indices to reproduce PM10 variability in Europe J. Garrido-Perez et al. https://doi.org/10.1016/j.atmosres.2020.105258
10. Three-year, 5 km resolution China PM 2.5 simulation: Model performance evaluation Y. Wang et al. https://doi.org/10.1016/j.atmosres.2018.02.016
11. Comparison of remotely sensed PM2.5 concentrations between developed and developing countries: Results from the US, Europe, China, and India C. Shisong et al. https://doi.org/10.1016/j.jclepro.2018.02.096
12. Spatiotemporal patterns of remotely sensed PM 2.5 concentration in China from 1999 to 2011 J. Peng et al. https://doi.org/10.1016/j.rse.2015.12.008
13. Chlorinated paraffins in the indoor and outdoor atmospheric particles from the Pearl River Delta: Characteristics, sources, and human exposure risks M. Zhuo et al. https://doi.org/10.1016/j.scitotenv.2018.09.107
14. A new chemistry option in WRF-Chem v. 3.4 for the simulation of direct and indirect aerosol effects using VBS: evaluation against IMPACT-EUCAARI data P. Tuccella et al. https://doi.org/10.5194/gmd-8-2749-2015
15. The Health Impact and External Cost of Electricity Production J. Zyśk et al. https://doi.org/10.3390/en14248263
16. Implications of East Asian summer and winter monsoons for interannual aerosol variations over central-eastern China X. Cheng et al. https://doi.org/10.1016/j.atmosenv.2016.01.037
17. Implementation of Aerosol-Cloud Interaction within WRF-CHIMERE Online Coupled Model: Evaluation and Investigation of the Indirect Radiative Effect from Anthropogenic Emission Reduction on the Benelux Union P. Tuccella et al. https://doi.org/10.3390/atmos10010020
18. Dynamic evaluation of modeled ozone concentrations in Germany with four chemistry transport models M. Thürkow et al. https://doi.org/10.1016/j.scitotenv.2023.167665
19. Modelling of the atmospheric dispersion of mercury emitted from the power sector in Poland J. Zyśk et al. https://doi.org/10.1016/j.atmosenv.2015.04.040
20. A statistical method to estimate PM2.5concentrations from meteorology and its application to the effect of climate change È. Lecœur et al. https://doi.org/10.1002/2013JD021172
21. Percolation analysis of urban air quality: A case in China R. Du et al. https://doi.org/10.1016/j.physa.2019.123312
22. Variability, predictability, and uncertainty in global aerosols inferred from gap-filled satellite observations and an econometric modeling approach X. Li et al. https://doi.org/10.1016/j.rse.2021.112501
23. Modeling organic aerosol over Europe in summer conditions with the VBS-GECKO parameterization: sensitivity to secondary organic compound properties and IVOC (intermediate-volatility organic compound) emissions V. Lannuque et al. https://doi.org/10.5194/acp-20-4905-2020
24. Comparison of dry and wet deposition of particulate matter in near-surface waters during summer Y. Wu et al. https://doi.org/10.1371/journal.pone.0199241
25. Analog ensemble technique to post-process WRF-CAMx ozone and particulate matter forecasts E. Solomou et al. https://doi.org/10.1016/j.atmosenv.2021.118439
26. A more cost-effective geomatic approach to modelling PM10 dispersion across Europe M. Diaz-de-Quijano et al. https://doi.org/10.1016/j.apgeog.2014.09.002
27. Seasonal trends and source apportionment of water-soluble inorganic ions in PM2.5 in Makkah, Saudi Arabia Y. Alsufayan et al. https://doi.org/10.1016/j.scitotenv.2025.180152
28. Effects of Meteorological Factors and Anthropogenic Precursors on PM2.5 Concentrations in Cities in China Z. Jing et al. https://doi.org/10.3390/su12093550
29. Using statistical models to explore ensemble uncertainty in climate impact studies: the example of air pollution in Europe V. Lemaire et al. https://doi.org/10.5194/acp-16-2559-2016
30. Estimation of PM2.5 Concentration Based on PSO-Optimized Machine Learning Models and SHAP Analysis: A Case Study of Wuhan, Hubei Province Q. Li & J. Fan https://doi.org/10.3390/app16136320
31. Long-term trends and spatial patterns of satellite-retrieved PM2.5 concentrations in South and Southeast Asia from 1999 to 2014 Y. Shi et al. https://doi.org/10.1016/j.scitotenv.2017.09.241
32. Modelling the European wind-blown dust emissions and their impact on particulate matter (PM) concentrations M. Liaskoni et al. https://doi.org/10.5194/acp-23-3629-2023
33. An optimization platform for Poland's power sector considering air pollution and health effects A. Wyrwa https://doi.org/10.1016/j.envsoft.2015.04.017
34. Oxidative stress and endocytosis are involved in upregulation of interleukin-8 expression in airway cells exposed to PM2.5 Z. Yan et al. https://doi.org/10.1002/tox.22188
35. Particulate matter air pollution in Europe in a +2 °C warming world G. Lacressonnière et al. https://doi.org/10.1016/j.atmosenv.2017.01.037
36. Atmospheric Deposition of Cadmium Around a Large Copper Smelter: Characteristics and Correlations with Meteorological Factors Y. Li et al. https://doi.org/10.1007/s11270-023-06206-x
37. Linking climate and air quality over Europe: effects of meteorology on PM2.5 concentrations A. Megaritis et al. https://doi.org/10.5194/acp-14-10283-2014
38. Spatiotemporal heterogeneity of the relationships between PM2.5 concentrations and their drivers in China's coastal ports Y. Zhang et al. https://doi.org/10.1016/j.jenvman.2023.118698
39. Impacts of East Asian winter monsoon circulation on interannual variability of winter haze days in Guangdong Province Z. Zhang et al. https://doi.org/10.1016/j.atmosres.2023.106793