70 citations as recorded by crossref.

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2. Exploration of the Reasons for the Decreases in O3 Concentrations in Tai’an City Based on the Control of O3 Precursor Emissions Y. Liu et al. https://doi.org/10.3390/atmos16050505
3. Photostationary state assumption seriously underestimates NO x emissions near large point sources at 10 to 60 m pixel resolution L. Chen et al. https://doi.org/10.1073/pnas.2423915122
4. Analysis of Fine Dust Impacts on Incheon and Busan Port Areas Resulting from Port Emission Reduction Measures M. Kang et al. https://doi.org/10.3390/atmos16050521
5. The role of aerosol–radiation–cloud interactions in linking anthropogenic pollution over southern west Africa and dust emission over the Sahara L. Menut et al. https://doi.org/10.5194/acp-19-14657-2019
6. Less NO x emission reductions are a potential cause for low effectiveness of sulfate aerosol reductions in China Z. Song et al. https://doi.org/10.1073/pnas.2523101123
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10. Analyses and Simulations of PM2.5 Pollution Characteristics under the Influence of the New Year’s Day Effects in China Q. Shi et al. https://doi.org/10.3390/atmos15050568
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13. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates J. Xing et al. https://doi.org/10.5194/acp-17-9869-2017
14. Ground-level ozone in the Mekong Delta region: precursors, meteorological factors, and regional transport L. Bui & P. Nguyen https://doi.org/10.1007/s11356-022-23819-7
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20. Switching to electric vehicles can lead to significant reductions of PM2.5 and NO2 across China L. Wang et al. https://doi.org/10.1016/j.oneear.2021.06.008
21. Spatio-temporal modelling and related factors analysis of PM2.5 pollution: A case study of Ho Chi Minh city, Vietnam L. Bui et al. https://doi.org/10.1016/j.pce.2023.103417
22. The different responses and their underlying mechanisms of the O3 concentrations during the Hangzhou Asian Games N. Yao et al. https://doi.org/10.1016/j.jes.2026.03.062
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25. Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System L. Rontu et al. https://doi.org/10.3390/atmos11020205
26. Large contributions of emission reductions and meteorological conditions to the abatement of PM2.5 in Beijing during the 24th Winter Olympic Games in 2022 Y. Jiang et al. https://doi.org/10.1016/j.jes.2022.12.017
27. Significant reductions of urban daytime ozone by extremely high concentration NOX from ship’s emissions: A case study Z. Song et al. https://doi.org/10.1016/j.apr.2024.102142
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29. Significant wintertime PM2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls L. Wang et al. https://doi.org/10.5194/acp-20-14787-2020
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31. Residential emissions predicted as a major source of fine particulate matter in winter over the Yangtze River Delta, China Y. Wu et al. https://doi.org/10.1007/s10311-018-0735-6
32. Annual application and evaluation of the online coupled WRF–CMAQ system over North America under AQMEII phase 2 C. Hogrefe et al. https://doi.org/10.1016/j.atmosenv.2014.12.034
33. Different contributions of meteorological conditions and emission reductions to the ozone pollution during Shanghai’s COVID-19 lockdowns in winter and spring X. Dou et al. https://doi.org/10.1016/j.apr.2024.102252
34. Evaluation of the Community Multiscale Air Quality (CMAQ) model v5.0 against size-resolved measurements of inorganic particle composition across sites in North America C. Nolte et al. https://doi.org/10.5194/gmd-8-2877-2015
35. Source regions contributing to excess reactive nitrogen deposition in the Greater Yellowstone Area (GYA) of the United States R. Zhang et al. https://doi.org/10.5194/acp-18-12991-2018
36. Direct Aerosol Feedback Effects on Meteorology and Particulate Matter Using the WRF-CMAQ Two-way Coupled Model: A High PM2.5 Event in 2019 J. Kim et al. https://doi.org/10.5572/KOSAE.2025.41.1.083
37. Quantification and Characterization of Fine Plastic Particles as Considerable Components in Atmospheric Fine Particles Y. Chen et al. https://doi.org/10.1021/acs.est.3c06832
38. Local production, downward and regional transport aggravated surface ozone pollution during the historical orange-alert large-scale ozone episode in eastern China Y. Zhang et al. https://doi.org/10.1007/s10311-022-01421-0
39. Unexpected Benefits of Reducing Aerosol Cooling Effects J. Xing et al. https://doi.org/10.1021/acs.est.6b00767
40. Evaluation and potential improvements of WRF/CMAQ in simulating multi-levels air pollution in megacity Shanghai, China J. Tan et al. https://doi.org/10.1007/s00477-016-1342-3
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42. Multi-year application of WRF-CAM5 over East Asia-Part II: Interannual variability, trend analysis, and aerosol indirect effects Y. Zhang et al. https://doi.org/10.1016/j.atmosenv.2017.06.029
43. Can a coupled meteorology–chemistry model reproduce the historical trend in aerosol direct radiative effects over the Northern Hemisphere? J. Xing et al. https://doi.org/10.5194/acp-15-9997-2015
44. Unrecognized pollution by inorganic condensable particulate matter in the atmosphere M. Li et al. https://doi.org/10.1007/s10311-023-01644-9
45. Relaxation of Spring Festival Firework Regulations Leads to a Deterioration in Air Quality X. Huang et al. https://doi.org/10.1021/acs.est.4c00920
46. High reduction of ozone and particulate matter during the 2016 G-20 summit in Hangzhou by forced emission controls of industry and traffic P. Li et al. https://doi.org/10.1007/s10311-017-0642-2
47. Fine-scale application of WRF-CAM5 during a dust storm episode over East Asia: Sensitivity to grid resolutions and aerosol activation parameterizations K. Wang et al. https://doi.org/10.1016/j.atmosenv.2017.12.014
48. Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1 K. Yahya et al. https://doi.org/10.5194/gmd-9-671-2016
49. Investigating the regional difference of aerosol feedback effects over South Korea using the WRF-CMAQ two-way coupled modeling system J. Yoo et al. https://doi.org/10.1016/j.atmosenv.2019.116968
50. Mitigation of severe urban haze pollution by a precision air pollution control approach S. Yu et al. https://doi.org/10.1038/s41598-018-26344-1
51. Effects of Aerosol Emission Reductions on Meteorology and Aerosol Direct Radiative Forcing over South Korea Using the WRF-CMAQ Two-way Coupled Model J. Kim et al. https://doi.org/10.5572/KOSAE.2025.41.6.933
52. Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations R. Baró et al. https://doi.org/10.5194/acp-18-15183-2018
53. Air quality and climate change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III) – Part 1: Overview and model evaluation M. Gao et al. https://doi.org/10.5194/acp-18-4859-2018
54. The effect of emission source chemical profiles on simulated PM2.5 components: sensitivity analysis with the Community Multiscale Air Quality (CMAQ) modeling system version 5.0.2 Z. Luo et al. https://doi.org/10.5194/gmd-16-6757-2023
55. Multi-year downscaling application of two-way coupled WRF v3.4 and CMAQ v5.0.2 over east Asia for regional climate and air quality modeling: model evaluation and aerosol direct effects C. Hong et al. https://doi.org/10.5194/gmd-10-2447-2017
56. The effectiveness of solar radiation management using fine sea spray across multiple climatic regions Z. Song et al. https://doi.org/10.5194/acp-25-2473-2025
57. A heavy haze episode in Beijing in February of 2014: Characteristics, origins and implications R. Yan et al. https://doi.org/10.5094/APR.2015.096
58. Assessment of long-term WRF–CMAQ simulations for understanding direct aerosol effects on radiation "brightening" in the United States C. Gan et al. https://doi.org/10.5194/acp-15-12193-2015
59. Hyperfine-resolution mapping of on-road vehicle emissions with comprehensive traffic monitoring and an intelligent transportation system L. Jiang et al. https://doi.org/10.5194/acp-21-16985-2021
60. Role of Sea Fog Over the Yellow Sea on Air Quality With the Direct Effect of Aerosols J. Jung et al. https://doi.org/10.1029/2020JD033498
61. A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality K. Wang et al. https://doi.org/10.5194/gmd-14-7189-2021
62. Impact of future climate policy scenarios on air quality and aerosol-cloud interactions using an advanced version of CESM/CAM5: Part II. Future trend analysis and impacts of projected anthropogenic emissions T. Glotfelty & Y. Zhang https://doi.org/10.1016/j.atmosenv.2016.12.034
63. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China M. Li et al. https://doi.org/10.5194/acp-22-11845-2022
64. A new chemistry option in WRF-Chem v. 3.4 for the simulation of direct and indirect aerosol effects using VBS: evaluation against IMPACT-EUCAARI data P. Tuccella et al. https://doi.org/10.5194/gmd-8-2749-2015
65. Characteristics and origins of a typical heavy haze episode in Baotou, China: implications for the spatial distribution of industrial sources B. Chen et al. https://doi.org/10.1631/jzus.A1500284
66. Recommendations on statistics and benchmarks to assess photochemical model performance C. Emery et al. https://doi.org/10.1080/10962247.2016.1265027
67. A ten-year meteorological simulation and optimization in China based on traditional data assimilation and machine learning methods M. Wu & Q. Shu https://doi.org/10.1016/j.envsoft.2025.106707
68. The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China Z. Li et al. https://doi.org/10.3390/atmos13010026
69. Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions K. Mehmood et al. https://doi.org/10.5194/acp-20-2419-2020
70. Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain Z. Li et al. https://doi.org/10.1007/s10311-021-01314-8