50 citations as recorded by crossref.

1. Modelling air quality during the EXPLORE-YRD campaign – Part I. Model performance evaluation and impacts of meteorological inputs and grid resolutions X. Wang et al. 10.1016/j.atmosenv.2020.118131
2. Twelve-Year Trends of PM10and Visibility in the Hefei Metropolitan Area of China L. Huang et al. 10.1155/2016/4810796
3. Impacts of model resolution on predictions of air quality and associated health exposure in Nanjing, China T. Liu et al. 10.1016/j.chemosphere.2020.126515
4. Substantial Increase in the Joint Occurrence and Human Exposure of Heatwave and High‐PM Hazards Over South Asia in the Mid‐21st Century Y. Xu et al. 10.1029/2019AV000103
5. Regional sources of airborne ultrafine particle number and mass concentrations in California X. Yu et al. 10.5194/acp-19-14677-2019
6. Pregnancy exposure to PM2.5 from wildland fire smoke and preterm birth in California S. Picciotto et al. 10.1016/j.envint.2024.108583
7. Premature Mortality Associated with Exposure to Outdoor Black Carbon and Its Source Contributions in China Y. Wang et al. 10.1016/j.resconrec.2021.105620
8. Performance Evaluation of CCAM-CTM Regional Airshed Modelling for the New South Wales Greater Metropolitan Region L. Chang et al. 10.3390/atmos9120486
9. One-year simulation of ozone and particulate matter in China using WRF/CMAQ modeling system J. Hu et al. 10.5194/acp-16-10333-2016
10. Associations of Mortality with Long-Term Exposures to Fine and Ultrafine Particles, Species and Sources: Results from the California Teachers Study Cohort B. Ostro et al. 10.1289/ehp.1408565
11. Air quality and public health effects of dairy digesters in California J. Jiang et al. 10.1016/j.atmosenv.2024.120588
12. Fine-Scale Air Pollution Models for Epidemiologic Research: Insights From Approaches Developed in the Multi-ethnic Study of Atherosclerosis and Air Pollution (MESA Air) K. Kirwa et al. 10.1007/s40572-021-00310-y
13. Understanding the nocturnal ozone increase in Nanjing, China: Insights from observations and numerical simulations K. Wang et al. 10.1016/j.scitotenv.2022.160211
14. Regional transport dominates air pollution events in all seasons in Beijing in 2020 Z. Zhang et al. 10.1016/j.atmosenv.2024.120395
15. Maternal exposure to aircraft emitted ultrafine particles during pregnancy and likelihood of ASD in children S. Carter et al. 10.1016/j.envint.2023.108061
16. Source-specified atmospheric age distribution of black carbon and its impact on optical properties over the Yangtze River Delta J. Yin et al. 10.1016/j.scitotenv.2024.171353
17. Combining Land-Use Regression and Chemical Transport Modeling in a Spatiotemporal Geostatistical Model for Ozone and PM2.5 M. Wang et al. 10.1021/acs.est.5b06001
18. Simulating secondary organic aerosol in a regional air quality model using the statistical oxidation model – Part 3: Assessing the influence of semi-volatile and intermediate-volatility organic compounds and NO<sub><i>x</i></sub> A. Akherati et al. 10.5194/acp-19-4561-2019
19. Pre-pregnancy ozone and ultrafine particulate matter exposure during second year of life associated with decreased cognitive and adaptive functioning at aged 2–5 years A. Goodrich et al. 10.1016/j.envres.2024.118854
20. Health and greenhouse gas mitigation benefits of ambitious expansion of cycling, walking, and transit in California N. Maizlish et al. 10.1016/j.jth.2017.04.011
21. Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China X. Xie et al. 10.5194/acp-23-10563-2023
22. Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017 Y. Xu et al. 10.1016/j.atmosenv.2019.117215
23. Evaluation of WRF-CMAQ simulated climatological mean and extremes of fine particulate matter of the United States and its correlation with climate extremes X. Li et al. 10.1016/j.atmosenv.2019.117181
24. Major Source Contributions to Ambient PM2.5 and Exposures within the New South Wales Greater Metropolitan Region L. Chang et al. 10.3390/atmos10030138
25. Cross-comparison and evaluation of air pollution field estimation methods H. Yu et al. 10.1016/j.atmosenv.2018.01.045
26. Development of land use regression models for PM2.5, SO2, NO2 and O3 in Nanjing, China L. Huang et al. 10.1016/j.envres.2017.07.010
27. Association Between Air Pollution Exposure, Cognitive and Adaptive Function, and ASD Severity Among Children with Autism Spectrum Disorder T. Kerin et al. 10.1007/s10803-017-3304-0
28. Three-year, 5 km resolution China PM 2.5 simulation: Model performance evaluation Y. Wang et al. 10.1016/j.atmosres.2018.02.016
29. Exposure to Source-Specific Particulate Matter and Health Effects: a Review of Epidemiological Studies J. Xu et al. 10.1007/s40726-022-00235-6
30. Low-carbon energy generates public health savings in California C. Zapata et al. 10.5194/acp-18-4817-2018
31. Modeling Atmospheric Age Distribution of Elemental Carbon Using a Regional Age-Resolved Particle Representation Framework H. Zhang et al. 10.1021/acs.est.8b05895
32. A hybrid satellite and land use regression model of source-specific PM2.5 and PM2.5 constituents M. Rahman & G. Thurston 10.1016/j.envint.2022.107233
33. A Statewide Nested Case–Control Study of Preterm Birth and Air Pollution by Source and Composition: California, 2001–2008 O. Laurent et al. 10.1289/ehp.1510133
34. Wintertime water‐soluble aerosol composition and particle water content in Fresno, California C. Parworth et al. 10.1002/2016JD026173
35. Acute and chronic health impacts of PM2.5 in China and the influence of interannual meteorological variability Y. Wang et al. 10.1016/j.atmosenv.2020.117397
36. Using Chemical Transport Model Predictions To Improve Exposure Assessment of PM2.5 Constituents J. Hu et al. 10.1021/acs.estlett.9b00396
37. Modeling PM2.5 During Severe Atmospheric Pollution Episode in Lagos, Nigeria: Spatiotemporal Variations, Source Apportionment, and Meteorological Influences I. Sulaymon et al. 10.1029/2022JD038360
38. A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
39. Reducing southern California ozone concentrations in the year 2050 under a low carbon energy scenario Y. Zhao et al. 10.1016/j.atmosenv.2023.120315
40. Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China J. Hu et al. 10.5194/acp-17-13103-2017
41. Modeling expected air quality impacts of Oregon's proposed expanded clean fuels program Y. Li et al. 10.1016/j.atmosenv.2023.119582
42. Investigating diesel engines as an atmospheric source of isocyanic acid in urban areas S. Jathar et al. 10.5194/acp-17-8959-2017
43. Ultrafine particulate matter exposure during second year of life, but not before, associated with increased risk of autism spectrum disorder in BKMR mixtures model of multiple air pollutants A. Goodrich et al. 10.1016/j.envres.2023.117624
44. Long-term particulate matter modeling for health effect studies in California – Part 2: Concentrations and sources of ultrafine organic aerosols J. Hu et al. 10.5194/acp-17-5379-2017
45. Kinetic Modeling of Escherichia coli Inactivation by Ozone Mist K. Cabral et al. 10.1080/01919512.2023.2210608
46. Modeling air quality in the San Joaquin valley of California during the 2013 Discover-AQ field campaign J. Chen et al. 10.1016/j.aeaoa.2020.100067
47. Persistent high PM2.5 pollution driven by unfavorable meteorological conditions during the COVID-19 lockdown period in the Beijing-Tianjin-Hebei region, China I. Sulaymon et al. 10.1016/j.envres.2021.111186
48. Adoption of low-carbon fuels reduces race/ethnicity disparities in air pollution exposure in California Y. Li et al. 10.1016/j.scitotenv.2022.155230
49. Identifying PM2.5 and PM0.1 Sources for Epidemiological Studies in California J. Hu et al. 10.1021/es404810z
50. Predicting Primary PM2.5 and PM0.1 Trace Composition for Epidemiological Studies in California J. Hu et al. 10.1021/es404809j