61 citations as recorded by crossref.

1. Summertime O3 and related health risks in the north China plain: A modeling study using two anthropogenic emission inventories K. Chen et al. 10.1016/j.atmosenv.2020.118087
2. High-Resolution Spatiotemporal Modeling for Ambient PM2.5 Exposure Assessment in China from 2013 to 2019 C. Huang et al. 10.1021/acs.est.0c05815
3. Health Risks Forecast of Regional Air Pollution on Allergic Rhinitis: High-Resolution City-Scale Simulations in Changchun, China W. Tong et al. 10.3390/atmos14020393
4. Understanding sources of fine particulate matter in China M. Zheng et al. 10.1098/rsta.2019.0325
5. Using Task Farming to Optimise a Street-Scale Resolution Air Quality Model of the West Midlands (UK) J. Zhong et al. 10.3390/atmos12080983
6. Verification of anthropogenic VOC emission inventory through ambient measurements and satellite retrievals J. Li et al. 10.5194/acp-19-5905-2019
7. Coastal-urban meteorology: A sensitivity study using the WRF-urban model Y. Kitagawa et al. 10.1016/j.uclim.2022.101185
8. Strong anthropogenic control of secondary organic aerosol formation from isoprene in Beijing D. Bryant et al. 10.5194/acp-20-7531-2020
9. Pollutant vertical mixing in the nocturnal boundary layer enhanced by density currents and low-level jets: two representative case studies M. Udina et al. 10.1007/s10546-019-00483-y
10. Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
11. The joint effects of prenatal exposure to PM2.5 constituents and reduced fetal growth on children’s accelerated growth in the first 3 years: a birth cohort study S. Zhou et al. 10.1038/s41370-024-00658-x
12. Source apportionment and regional transport of anthropogenic secondary organic aerosol during winter pollution periods in the Yangtze River Delta, China J. Liu et al. 10.1016/j.scitotenv.2019.135620
13. Revealing the origin of fine particulate matter in the Sichuan Basin from a source-oriented modeling perspective X. Qiao et al. 10.1016/j.atmosenv.2020.117896
14. The association of long-term exposure to criteria air pollutants, fine particulate matter components, and airborne trace metals with late-life brain amyloid burden in the Atherosclerosis Risk in Communities (ARIC) study E. Bennett et al. 10.1016/j.envint.2023.108200
15. Prenatal exposure to PM2.5 and its constituents with children's BMI Z-score in the first three years: A birth cohort study S. Zhou et al. 10.1016/j.envres.2023.116326
16. Health impacts and spatiotemporal variations of fine particulate and its typical toxic constituents in five urban agglomerations of China S. Liu et al. 10.1016/j.scitotenv.2021.151459
17. Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM<sub>2.5</sub> and chemical species L. Huang et al. 10.5194/acp-21-2725-2021
18. PM2.5 constituents and mortality from a spectrum of causes in Guangzhou, China B. Li et al. 10.1016/j.ecoenv.2021.112498
19. Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. 10.1021/acs.est.1c01567
20. Comprehensive Insights Into O3 Changes During the COVID‐19 From O3 Formation Regime and Atmospheric Oxidation Capacity S. Zhu et al. 10.1029/2021GL093668
21. Co-benefits of carbon and pollution control policies on air quality and health till 2030 in China J. Yang et al. 10.1016/j.envint.2021.106482
22. Impact of emissions from a single urban source on air quality estimated from mobile observation and WRF-STILT model simulations H. Fan et al. 10.1007/s11869-021-01023-9
23. Numerical study of the amplification effects of cold-front passage on air pollution over the North China Plain W. Zhang et al. 10.1016/j.scitotenv.2022.155231
24. Air Quality Modeling Study on the Controlling Factors of Fine Particulate Matter (PM2.5) in Hanoi: A Case Study in December 2010 T. Nguyen et al. 10.3390/atmos11070733
25. Mapping the drivers of formaldehyde (HCHO) variability from 2015 to 2019 over eastern China: insights from Fourier transform infrared observation and GEOS-Chem model simulation Y. Sun et al. 10.5194/acp-21-6365-2021
26. Projecting heat-related excess mortality under climate change scenarios in China J. Yang et al. 10.1038/s41467-021-21305-1
27. Short-term effects of fine particulate matter constituents on myocardial infarction death S. Mo et al. 10.1016/j.jes.2022.07.019
28. Contributions of various driving factors to air pollution events: Interpretability analysis from Machine learning perspective T. Li et al. 10.1016/j.envint.2023.107861
29. Fine particulate matter constituents and cause-specific mortality in China: A nationwide modelling study J. Yang et al. 10.1016/j.envint.2020.105927
30. Classification Prediction of PM10 Concentration Using a Tree-Based Machine Learning Approach W. Shaziayani et al. 10.3390/atmos13040538
31. Responses of fine particulate matter and ozone to local emission reductions in the Sichuan Basin, southwestern China X. Qiao et al. 10.1016/j.envpol.2021.116793
32. Performance and application of air quality models on ozone simulation in China – A review J. Yang & Y. Zhao 10.1016/j.atmosenv.2022.119446
33. Study of Secondary Organic Aerosol Formation from Chlorine Radical-Initiated Oxidation of Volatile Organic Compounds in a Polluted Atmosphere Using a 3D Chemical Transport Model M. Choi et al. 10.1021/acs.est.0c02958
34. Enhanced atmospheric oxidation capacity and associated ozone increases during COVID-19 lockdown in the Yangtze River Delta Y. Wang et al. 10.1016/j.scitotenv.2020.144796
35. Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China L. Fang et al. 10.5194/gmd-15-7791-2022
36. 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
37. WITHDRAWN: Insights into the source contributions to the elevated fine particulate matter in Nigeria using a source-oriented chemical transport model I. Sulaymon et al. 10.1016/j.chemosphere.2024.141548
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. Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: potentially overlooked CO hotspots in the Tibetan Plateau D. Liu et al. 10.5194/acp-19-12413-2019
40. 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
41. Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China Y. Wang et al. 10.1038/s41598-023-35399-8
42. Improved O3 predictions in China by combining chemical transport model and multi-source data with machining learning techniques K. Xiong et al. 10.1016/j.atmosenv.2023.120269
43. 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
44. Enhanced summertime background ozone by anthropogenic emissions – Implications on ozone control policy and health risk assessment M. Kang et al. 10.1016/j.atmosenv.2023.120116
45. Rice yield losses due to O3 pollution in China from 2013 to 2020 based on the WRF-CMAQ model Q. Qi et al. 10.1016/j.jclepro.2023.136801
46. Feasibility study of prescribed burning for crop residues based on urban air quality assessment J. Cao et al. 10.1016/j.jenvman.2022.115480
47. Shifts of Formation Regimes and Increases of Atmospheric Oxidation Led to Ozone Increase in North China Plain and Yangtze River Delta From 2016 to 2019 S. Zhu et al. 10.1029/2022JD038373
48. Machine learning based bias correction for numerical chemical transport models M. Xu et al. 10.1016/j.atmosenv.2020.118022
49. Reduced but still noteworthy atmospheric pollution of trace elements in China S. Liu et al. 10.1016/j.oneear.2023.04.006
50. Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019 J. Mao et al. 10.3389/fenvs.2022.872249
51. Short-term exposure to fine particulate matter constituents and mortality: case-crossover evidence from 32 counties in China P. Zhou et al. 10.1007/s11427-021-2098-7
52. A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors Z. Gao & X. Zhou 10.1016/j.envpol.2023.123183
53. Exploring 2016–2017 surface ozone pollution over China: source contributions and meteorological influences X. Lu et al. 10.5194/acp-19-8339-2019
54. Assessing short-term impacts of PM2.5 constituents on cardiorespiratory hospitalizations: Multi-city evidence from China Y. Zhang et al. 10.1016/j.ijheh.2021.113912
55. Rapid reduction of air pollution and short-term exposure risks in China H. Fan et al. 10.1016/j.jes.2023.11.002
56. Characterization and source apportionment of marine aerosols over the East China Sea M. Kang et al. 10.1016/j.scitotenv.2018.10.174
57. Application of machine learning algorithms to improve numerical simulation prediction of PM2.5 and chemical components L. Lv et al. 10.1016/j.apr.2021.101211
58. The associations of prenatal exposure to PM2.5 and its constituents with fetal growth: A prospective birth cohort in Beijing, China S. Zhou et al. 10.1016/j.envres.2022.114196
59. Influence of meteorological reanalysis field on air quality modeling in the Yangtze River Delta, China X. Wang et al. 10.1016/j.atmosenv.2023.120231
60. Improving the accuracy of O3 prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China K. Xiong et al. 10.1016/j.envpol.2022.120926
61. Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions J. Hu et al. 10.1021/acs.est.7b03193