43 citations as recorded by crossref.

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3. Improve regional distribution and source apportionment of PM2.5 trace elements in China using inventory-observation constrained emission factors Q. Ying et al. https://doi.org/10.1016/j.scitotenv.2017.12.138
4. Evaluating the effectiveness of air quality regulations: A review of accountability studies and frameworks L. Henneman et al. https://doi.org/10.1080/10962247.2016.1242518
5. Cross-comparison and evaluation of air pollution field estimation methods H. Yu et al. https://doi.org/10.1016/j.atmosenv.2018.01.045
6. Source apportionment of primary and secondary PM2.5: Associations with pediatric respiratory disease emergency department visits in the U.S. State of Georgia M. Huang et al. https://doi.org/10.1016/j.envint.2019.105167
7. A receptor model and CTM integrated PM2.5 source apportionment approach and its application in 2+26 cities region of China F. Meng et al. https://doi.org/10.1016/j.atmosenv.2026.122071
8. An Integrated Framework for VOC Source Apportionment Based on Chemical Transport Modeling and Observation-Constrained Optimization Y. Wang et al. https://doi.org/10.1021/acs.est.6c03701
9. An Integrated Source Apportionment Methodology and Its Application over the Yangtze River Delta Region, China L. Li et al. https://doi.org/10.1021/acs.est.8b01211
10. Exposure to Source-Specific Particulate Matter and Health Effects: a Review of Epidemiological Studies J. Xu et al. https://doi.org/10.1007/s40726-022-00235-6
11. Simulation of the influence of residential biomass burning on air quality in an urban area E. Siouti et al. https://doi.org/10.1016/j.atmosenv.2023.119897
12. Development of PM2.5 source impact spatial fields using a hybrid source apportionment air quality model C. Ivey et al. https://doi.org/10.5194/gmd-8-2153-2015
13. Accountability assessment of regulatory impacts on ozone and PM2.5 concentrations using statistical and deterministic pollutant sensitivities L. Henneman et al. https://doi.org/10.1007/s11869-017-0463-2
14. Air quality modeling for accountability research: Operational, dynamic, and diagnostic evaluation L. Henneman et al. https://doi.org/10.1016/j.atmosenv.2017.07.049
15. A hybrid method for PM2.5 source apportionment through WRF-Chem simulations and an assessment of emission-reduction measures in western China J. Yang et al. https://doi.org/10.1016/j.atmosres.2019.104787
16. Regional source apportionment of trace metals in fine particulate matter using an observation-constrained hybrid model K. Liao et al. https://doi.org/10.1038/s41612-023-00393-4
17. Coupling Chemical Transport Model Source Attributions with Positive Matrix Factorization: Application to Two IMPROVE Sites Impacted by Wildfires T. Sturtz et al. https://doi.org/10.1021/es502749r
18. An assessment of important SPECIATE profiles in the EPA emissions modeling platform and current data gaps C. Bray et al. https://doi.org/10.1016/j.atmosenv.2019.03.013
19. Simulation of fresh and chemically-aged biomass burning organic aerosol L. Posner et al. https://doi.org/10.1016/j.atmosenv.2018.09.055
20. Only ammonia reduction is insufficient: Meeting vegetation critical levels but not PM2.5 air quality targets J. Huang et al. https://doi.org/10.1016/j.envres.2026.124347
21. Public health costs accounting of inorganic PM2.5 pollution in metropolitan areas of the United States using a risk-based source-receptor model J. Heo et al. https://doi.org/10.1016/j.envint.2017.06.006
22. Air pollutant exposure field modeling using air quality model-data fusion methods and comparison with satellite AOD-derived fields: application over North Carolina, USA R. Huang et al. https://doi.org/10.1007/s11869-017-0511-y
23. Composition and oxidation state of sulfur in atmospheric particulate matter A. Longo et al. https://doi.org/10.5194/acp-16-13389-2016
24. Source impact modeling of spatiotemporal trends in PM2.5 oxidative potential across the eastern United States J. Bates et al. https://doi.org/10.1016/j.atmosenv.2018.08.055
25. Source apportionment of fine secondary inorganic aerosol over the Pearl River Delta region using a hybrid method W. Chen et al. https://doi.org/10.1016/j.apr.2021.101061
26. Integrating Chemical Mass Balance and the Community Multiscale Air Quality models for source identification and apportionment of PM2.5 C. Zhang et al. https://doi.org/10.1016/j.psep.2021.03.033
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28. A method for quantifying bias in modeled concentrations and source impacts for secondary particulate matter C. Ivey et al. https://doi.org/10.1007/s11783-016-0866-6
29. Trends in PM2.5 emissions, concentrations and apportionments in Detroit and Chicago C. Milando et al. https://doi.org/10.1016/j.atmosenv.2016.01.012
30. Review on formation mechanism analysis method and control strategy of urban haze in China W. Huang et al. https://doi.org/10.1016/j.cjche.2018.08.016
31. A multiple linear regression model with multiplicative log-normal error term for atmospheric concentration data K. Liao et al. https://doi.org/10.1016/j.scitotenv.2020.144282
32. Demographic Inequities in Health Outcomes and Air Pollution Exposure in the Atlanta Area and its Relationship to Urban Infrastructure J. Servadio et al. https://doi.org/10.1007/s11524-018-0318-7
33. Identification of biased sectors in emission data using a combination of chemical transport model and receptor model K. Uranishi et al. https://doi.org/10.1016/j.atmosenv.2017.06.039
34. Evaluation of PM2.5 air pollution sources and cardiovascular health E. Slawsky et al. https://doi.org/10.1097/EE9.0000000000000157
35. Spatial PM2.5mobile source impacts using a calibrated indicator method X. Zhai et al. https://doi.org/10.1080/10962247.2018.1532468
36. Development of PM2.5 Source Profiles Using a Hybrid Chemical Transport-Receptor Modeling Approach C. Ivey et al. https://doi.org/10.1021/acs.est.7b03781
37. Investigating fine particulate matter sources in Salt Lake City during persistent cold air pool events C. Ivey et al. https://doi.org/10.1016/j.atmosenv.2019.06.042
38. A review of atmospheric fine particulate matters: chemical composition, source identification and their variations in Beijing Y. Ma et al. https://doi.org/10.1080/15567036.2022.2075991
39. Estimating source-attributable health impacts of ambient fine particulate matter exposure: global premature mortality from surface transportation emissions in 2005 S. Chambliss et al. https://doi.org/10.1088/1748-9326/9/10/104009
40. Local and distant source contributions to secondary organic aerosol in the Beijing urban area in summer J. Lin et al. https://doi.org/10.1016/j.atmosenv.2015.08.098
41. Source apportionment of settleable particles in an impacted urban and industrialized region in Brazil J. Santos et al. https://doi.org/10.1007/s11356-017-9677-y
42. Review of receptor-based source apportionment research of fine particulate matter and its challenges in China Y. Zhang et al. https://doi.org/10.1016/j.scitotenv.2017.02.071
43. Dynamic harmonization of source-oriented and receptor models for source apportionment X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2022.160312