48 citations as recorded by crossref.

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2. The global and regional air quality impacts of dietary change M. Springmann et al. 10.1038/s41467-023-41789-3
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4. Revisiting Total Particle Number Measurements for Vehicle Exhaust Regulations B. Giechaskiel et al. 10.3390/atmos13020155
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6. A Numerical Study of Reducing O3 and Pm2.5 Simultaneously in Taiwan M. Chuang et al. 10.2139/ssrn.4074922
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10. Spatiotemporal Estimation and Analysis of PM2.5 Concentrations in Wuhan Utilizing Multisource Remote Sensing Data and NOx as Inputs for Machine Learning Models J. Song et al. 10.1109/JSEN.2024.3523046
11. A multi-year source apportionment of PM2.5 at multiple sites in the southern Po Valley (Italy) F. Scotto et al. 10.1016/j.apr.2021.101192
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13. Global impacts of aviation on air quality evaluated at high resolution S. Eastham et al. 10.5194/acp-24-2687-2024
14. Ambitious nitrogen abatement is required to mitigate future global PM2.5 air pollution toward the World Health Organization targets Y. Guo et al. 10.1016/j.oneear.2024.08.007
15. A case study of surface ozone source contributions in the Seoul metropolitan area using the adjoint of CMAQ A. Kashfi Yeganeh et al. 10.1080/10962247.2024.2361021
16. PM2.5 Neutrality goals: the role of government strengthen and digitalization in BRICS Countries F. Liu et al. 10.1007/s11869-024-01592-5
17. A new set of indicators for model evaluation complementing FAIRMODE's modelling quality objective (MQO) A. de Meij et al. 10.5194/gmd-18-4231-2025
18. Comparison of the Three Approaches for Determining Ammonia Emissions in the Intensive Breeding of Fattening Pigs with Respect to the Integrated Pollution Prevention and Control: Case Study for the Czech Republic R. Kunes et al. 10.3390/atmos13122084
19. A numerical study of reducing the concentration of O3 and PM2.5 simultaneously in Taiwan M. Chuang et al. 10.1016/j.jenvman.2022.115614
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21. An approach to inform air quality management through receptor source apportionment and thermodynamic modelling of fine particulate matter in Red Deer, Alberta, Canada Y. Aklilu et al. 10.1016/j.atmosres.2022.106583
22. PM2.5 wintertime sensitivity to changes in NOx, SO2, and NH3 emissions in Lombardy Region L. Colombo et al. 10.1007/s11869-024-01519-0
23. Modeling non-linear changes in an urban setting: From pro-environmental affordances to responses in behavior, emissions and air quality M. Hulkkonen et al. 10.1007/s13280-022-01827-8
24. Long-Term COVID-19 Restrictions in Italy to Assess the Role of Seasonal Meteorological Conditions and Pollutant Emissions on Urban Air Quality G. Gualtieri et al. 10.3390/atmos13071156
25. Sensitivity of air quality model responses to emission changes: comparison of results based on four EU inventories through FAIRMODE benchmarking methodology A. de Meij et al. 10.5194/gmd-17-587-2024
26. Unchanged PM2.5 levels over Europe during COVID-19 were buffered by ammonia N. Evangeliou et al. 10.5194/ar-3-155-2025
27. Port Cleaner Trucks and Environmental Justice in the Greater New York Area Y. Park & H. Gao 10.1016/j.scitotenv.2025.179396
28. Modelling the Impact of the Introduction of the EURO 6d-TEMP/6d Regulation for Light-Duty Vehicles on EU Air Quality A. de Meij et al. 10.3390/app12094257
29. Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy A. Fassò et al. 10.1038/s41597-023-02034-0
30. Rapid PM2.5-Induced Health Impact Assessment: A Novel Approach Using Conditional U-Net CMAQ Surrogate Model Y. Lee et al. 10.3390/atmos15101186
31. Optimal reactive nitrogen control pathways identified for cost-effective PM2.5 mitigation in Europe Z. Liu et al. 10.1038/s41467-023-39900-9
32. Application of Machine Learning to Estimate Ammonia Atmospheric Emissions and Concentrations A. Marongiu et al. 10.3390/air2010003
33. Underestimated benefits of NOx control in reducing SNA and O3 based on missing heterogeneous HONO sources S. Zhang et al. 10.1007/s11783-024-1790-y
34. Dynamic emission inventory of ammonia in northern Italy by machine learning A. Marongiu et al. 10.1007/s11869-025-01779-4
35. Impact of NOx and NH3 Emission Reduction on Particulate Matter across Po Valley: A LIFE-IP-PREPAIR Study G. Veratti et al. 10.3390/atmos14050762
36. Retrieval of surface and atmospheric parameters from high resolution infrared sensors I. De Feis et al. 10.1016/j.matcom.2025.07.066
37. Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies B. Bessagnet et al. 10.1007/s11869-023-01469-z
38. Measurement report: Source attribution and estimation of black carbon levels in an urban hotspot of the central Po Valley – an integrated approach combining high-resolution dispersion modelling and micro-aethalometers G. Veratti et al. 10.5194/acp-24-10475-2024
39. Simulating nitrate formation mechanisms during PM2.5 events in Taiwan and their implications for the controlling direction M. Chuang et al. 10.1016/j.atmosenv.2021.118856
40. Spatiotemporal modelling of $$\hbox {PM}_{2.5}$$ concentrations in Lombardy (Italy): a comparative study P. Otto et al. 10.1007/s10651-023-00589-0
41. Study on Spatio-Temporal Evolution Law and Driving Mechanism of PM2.5 Concentration in Changsha–Zhuzhou–Xiangtan Urban Agglomeration W. Chen et al. 10.3390/su142214967
42. Opinion: Understanding the impacts of agriculture and food systems on atmospheric chemistry is instrumental to achieving multiple Sustainable Development Goals A. Tai et al. 10.5194/acp-25-923-2025
43. Evaluation of accuracy on bottom-up NH3 emissions and sensitivity of PM2.5 to emission control in South Korea K. Han et al. 10.1016/j.atmosenv.2025.121434
44. Ozone pollution during the COVID-19 lockdown in the spring of 2020 over Europe, analysed from satellite observations, in situ measurements, and models J. Cuesta et al. 10.5194/acp-22-4471-2022
45. Hysteresis response of wet nitrate deposition to emission reduction in Chinese terrestrial ecosystems Y. Xi et al. 10.1016/j.atmosenv.2021.118555
46. Sources of PM2.5 exposure and health benefits of clean air actions in Shanghai Y. Gu et al. 10.1016/j.envint.2025.109259
47. Assessing capability of Copernicus Atmosphere Monitoring Service to forecast PM2.5 and PM10 hourly concentrations in a European air quality hotspot G. Gualtieri et al. 10.1016/j.apr.2025.102567
48. Impacts of agriculture on PM10 pollution and human health in the Lombardy region in Italy S. Renna et al. 10.3389/fenvs.2024.1369678