13 citations as recorded by crossref.

1. Quantitative evidence highlights the drivers on highly photochemically active VOC sources J. Li et al. https://doi.org/10.1038/s44407-024-00004-3
2. Particulate matter emission area identification based on phenomenological atmospheric dispersion and deep learn algorithms L. Pereira et al. https://doi.org/10.1080/09593330.2025.2573837
3. Heterogeneous responses of secondary organic aerosol sources to long-term emission reductions in megacity Shanghai, China H. Hu et al. https://doi.org/10.1016/j.envpol.2026.128224
4. Measurement report: Emission factors and organic aerosol source apportionment of shipping emissions in the coastal city of Toulon, France Q. Gunti et al. https://doi.org/10.5194/acp-26-2893-2026
5. Overcoming adverse meteorology: PM2.5 governance progress during China's 2025 Victory Day R. Liu et al. https://doi.org/10.1016/j.atmosres.2026.109281
6. Regional source apportionment of PM2.5 in South India H. Bhatt et al. https://doi.org/10.1016/j.atmosenv.2026.122201
7. Identification of particulate matter (PM10 and PM2.5) sources using bivariate polar plots and k-means clustering in a South American megacity: Metropolitan Area of Lima-Callao, Peru J. Espinoza-Guillen et al. https://doi.org/10.1007/s10661-025-13696-1
8. Chemical Characterization of Trace Elements in PM2.5 and PM10 and Their Source Apportionment by PMF Modelling with Associated Health Risk Assessment in the Aravalli Region, India P. Pippal et al. https://doi.org/10.1007/s00244-026-01189-2
9. Identifying hidden heavy metal sources in atmospheric dust of mining cities by integrating Cd isotopes and multivariate statistical method B. Xia et al. https://doi.org/10.1016/j.jhazmat.2025.138894
10. Machine-Learning Source Apportionment of Particulate Pollution Aids Urban Emission Regulations X. Peng et al. https://doi.org/10.1021/acs.est.5c14501
11. Source Apportionment of Fine Particulate Matter in Wuhan: Application of Rolling Positive Matrix Factorization Under Different Seasons and Episodic Events Z. Guo et al. https://doi.org/10.1007/s44408-025-00005-1
12. Evaluation and source apportionment of persistent decadal air pollution disparities in Kansas City, Missouri S. Ojha et al. https://doi.org/10.1080/10962247.2025.2572810
13. Estimating Local Air Pollutant Contribution Ratio Based on Concentration Variability Among Monitoring Stations Y. Wang et al. https://doi.org/10.3390/atmos17050481