13 citations as recorded by crossref.

1. Machine learning and deep learning approaches for PM2.5 prediction: a study on urban air quality in Jaipur, India S. Singh & G. Suthar 10.1007/s12145-024-01648-1
2. To what extent is the description of streets important in estimating local air quality: a case study over Paris A. Squarcioni et al. 10.5194/acp-25-93-2025
3. Impact of gas dry deposition parameterization on secondary particle formation in an urban canyon C. Lin et al. 10.1016/j.atmosenv.2024.120633
4. On the suitability of dispersion models of varying degree of complexity for air quality assessment and urban planning W. Patiño et al. 10.1016/j.buildenv.2024.111892
5. Population exposure to outdoor NO2, black carbon, and ultrafine and fine particles over Paris with multi-scale modelling down to the street scale S. Park et al. 10.5194/acp-25-3363-2025
6. Large-eddy simulations on pollutant reduction effects of road-center hedge and solid barriers in an idealized street canyon C. Lin et al. 10.1016/j.buildenv.2023.110464
7. Spatial Distribution of PM2.5 Mass and Number Concentrations in Paris (France) from the Pollutrack Network of Mobile Sensors during 2018–2022 J. Renard et al. 10.3390/s23208560
8. Impact of solid road barriers on reactive pollutant dispersion in an idealized urban canyon: A large-eddy simulation coupled with chemistry C. Lin et al. 10.1016/j.uclim.2024.101989
9. Use of Computational Fluid Dynamics to Study Ammonia Concentrations at Pedestrian Height in Smart Broiler Chamber Clusters M. Li et al. 10.3390/agriculture13030656
10. Modelling concentration heterogeneities in streets using the street-network model MUNICH T. Sarica et al. 10.5194/gmd-16-5281-2023
11. Air pollution mapping and variability over five European cities K. Sartelet et al. 10.1016/j.envint.2025.109474
12. Data extension of high-resolution wind speed database by fusing meteorological observation and local objective analysis data with POD–LSE X. Wang et al. 10.1016/j.jweia.2024.105812
13. Using computational fluid dynamics to minimize droplet dispersion in intraoral suction devices with a dental triple syringe T. Phonsahwat et al. 10.1016/j.buildenv.2025.112699