113 citations as recorded by crossref.

1. Variability of winter haze over the Beijing-Tianjin-Hebei region tied to wind speed in the lower troposphere and particulate sources P. Shi et al. https://doi.org/10.1016/j.atmosres.2018.08.013
2. Mechanism for synoptic and intra-seasonal oscillation of visibility in Beijing-Tianjin-Hebei region X. Li et al. https://doi.org/10.1007/s00704-020-03466-z
3. Diurnal haze variations over the North China plain using measurements from Himawari-8/AHI H. Shang et al. https://doi.org/10.1016/j.atmosenv.2019.04.036
4. Impacts of meteorology and emission control on the abnormally low particulate matter concentration observed during the winter of 2017 X. Xu et al. https://doi.org/10.1016/j.atmosenv.2020.117377
5. Long‐Term Trends of High Aerosol Pollution Events and Their Climatic Impacts in North America Using Multiple Satellite Retrievals and Modern‐Era Retrospective Analysis for Research and Applications version 2 Q. Jin & S. Pryor https://doi.org/10.1029/2019JD031137
6. Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere Model CAM5 X. Liu et al. https://doi.org/10.5194/gmd-5-709-2012
7. Decadal changes in summer aerosol composition and secondary aerosol formation mechanisms in Beijing S. Zeng et al. https://doi.org/10.1088/2515-7620/ad9711
8. Observational studies of the meteorological characteristics associated with poor air quality over the Pearl River Delta in China M. Wu et al. https://doi.org/10.5194/acp-13-10755-2013
9. Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China J. He et al. https://doi.org/10.1016/j.envpol.2020.115133
10. Effects of synoptic circulation patterns on air quality in Nanjing and its surrounding areas during 2013–2015 C. Zhou et al. https://doi.org/10.1016/j.apr.2018.01.015
11. Decomposition of the wind and nonwind effects on observed year‐to‐year air quality variation Y. Li et al. https://doi.org/10.1002/2013JD021300
12. Variation in black carbon concentration and aerosol optical properties in Beijing: Role of emission control and meteorological transport variability Y. Xia et al. https://doi.org/10.1016/j.chemosphere.2020.126849
13. Impact of natural and anthropogenic aerosols on stratocumulus and precipitation in the Southeast Pacific: a regional modelling study using WRF-Chem Q. Yang et al. https://doi.org/10.5194/acp-12-8777-2012
14. Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. https://doi.org/10.1002/2017JD027631
15. Impact of Chinese air pollutants on a record-breaking PMs episode in the Republic of Korea for 11–15 January 2019 H. Oh et al. https://doi.org/10.1016/j.atmosenv.2020.117262
16. Impact of low-pressure systems on winter heavy air pollution in the northwest Sichuan Basin, China G. Ning et al. https://doi.org/10.5194/acp-18-13601-2018
17. Simulating black carbon and dust and their radiative forcing in seasonal snow: a case study over North China with field campaign measurements C. Zhao et al. https://doi.org/10.5194/acp-14-11475-2014
18. A paradox for air pollution controlling in China revealed by “APEC Blue” and “Parade Blue” H. Liu et al. https://doi.org/10.1038/srep34408
19. Assessment of the short-term mortality effect of the national action plan on air pollution in Beijing, China L. Han et al. https://doi.org/10.1088/1748-9326/ab6f13
20. Modeling study on seasonal variation in aerosol extinction properties over China Y. Gao & M. Zhang https://doi.org/10.1016/S1001-0742(13)60385-X
21. Heavy air pollution with a unique “non-stagnant” atmospheric boundary layer in the Yangtze River middle basin aggravated by regional transport of PM2.5 over China C. Yu et al. https://doi.org/10.5194/acp-20-7217-2020
22. The impact of low-sulfur marine fuel policy on air pollution in global coastal cities J. Shi et al. https://doi.org/10.1016/j.horiz.2024.100130
23. Factors influencing improvements in air quality in Guanzhong cities of China, and variations therein for 2014–2020 H. Zhao et al. https://doi.org/10.1016/j.uclim.2021.100877
24. Impacts of additional HONO sources on O₃ and PM_2.5 chemical coupling and control strategies in the Beijing–Tianjin–Hebei region of China Y. Li et al. https://doi.org/10.3402/tellusb.v67.23930
25. Changes in atmospheric composition during the 2014 APEC conference in Beijing Z. Wang et al. https://doi.org/10.1002/2015JD023652
26. The Formation of Barrier Winds East of the Loess Plateau and Their Effects on Dispersion Conditions in the North China Plains X. Hu et al. https://doi.org/10.1007/s10546-016-0159-4
27. Sensitivity of biogenic volatile organic compounds to land surface parameterizations and vegetation distributions in California C. Zhao et al. https://doi.org/10.5194/gmd-9-1959-2016
28. On the severe haze in Beijing during January 2013: Unraveling the effects of meteorological anomalies with WRF-Chem L. Zhang et al. https://doi.org/10.1016/j.atmosenv.2015.01.001
29. Changes in the diurnal variations of clouds and precipitation induced by anthropogenic aerosols over East China in August 2008 Y. Gao & M. Zhang https://doi.org/10.1016/j.apr.2017.11.013
30. Characterization of speciated aerosol direct radiative forcing over California C. Zhao et al. https://doi.org/10.1029/2012JD018364
31. Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study N. Bei et al. https://doi.org/10.5194/acp-17-14579-2017
32. Possible influence of atmospheric circulations on winter haze pollution in the Beijing–Tianjin–Hebei region, northern China Z. Zhang et al. https://doi.org/10.5194/acp-16-561-2016
33. Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities J. He et al. https://doi.org/10.1016/j.envpol.2017.01.050
34. WRF-Chem simulations of aerosols and anthropogenic aerosol radiative forcing in East Asia Y. Gao et al. https://doi.org/10.1016/j.atmosenv.2014.04.038
35. The “Parade Blue”: effects of short-term emission control on aerosol chemistry H. Li et al. https://doi.org/10.1039/C6FD00004E
36. The large proportion of black carbon (BC)-containing aerosols in the urban atmosphere L. Chen et al. https://doi.org/10.1016/j.envpol.2020.114507
37. WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley L. Wu et al. https://doi.org/10.5194/acp-17-7291-2017
38. The conservative characteristic FD methods for atmospheric aerosol transport problems K. Fu & D. Liang https://doi.org/10.1016/j.jcp.2015.10.049
39. Effects of potential recirculation on air quality in coastal cities in the Yangtze River Delta C. Zhou et al. https://doi.org/10.1016/j.scitotenv.2018.08.423
40. Spatial and temporal variability of PM2.5 and PM10 over the North China Plain and the Yangtze River Delta, China J. Hu et al. https://doi.org/10.1016/j.atmosenv.2014.07.019
41. Enhanced hydrophobicity and volatility of submicron aerosols under severe emission control conditions in Beijing Y. Wang et al. https://doi.org/10.5194/acp-17-5239-2017
42. Long-term (1975–2016) variations of aerosol optical depth in South Central Hebei Plain, China, and its correlations with East Asian monsoon and economic activities L. Zhang et al. https://doi.org/10.1007/s12517-020-06438-9
43. Influence of particle growth and secondary aerosol formation on light scattering associated with PM2.5 variability in the North China plain A. Cai et al. https://doi.org/10.1016/j.atmosenv.2025.121650
44. Science–Policy Interplay: Improvement of Air Quality from 2008 to 2014 in Beijing and the Scientific Approach to Achieve APEC Blue Z. Wang et al. https://doi.org/10.1175/BAMS-D-15-00095.1
45. Regulatory measures significantly reduced air-pollutant concentrations in Seoul, Korea C. Ho et al. https://doi.org/10.1016/j.apr.2021.101098
46. Radiative Forcing of Nitrate Aerosols From 1975 to 2010 as Simulated by MOSAIC Module in CESM2‐MAM4 Z. Lu et al. https://doi.org/10.1029/2021JD034809
47. Impacts of local circulations on the wintertime air pollution in the Guanzhong Basin, China N. Bei et al. https://doi.org/10.1016/j.scitotenv.2017.02.151
48. Statistical bias correction for CESM-simulated PM2.5 Q. Ran et al. https://doi.org/10.1088/2515-7620/acf917
49. Cause and predictability for the severe haze pollution in downtown Beijing in November–December 2015 Z. Zhang et al. https://doi.org/10.1016/j.scitotenv.2017.03.009
50. Characterizing the volatility and mixing state of ambient fine particles in the summer and winter of urban Beijing L. Chen et al. https://doi.org/10.5194/acp-22-2293-2022
51. Widespread air pollutants of the North China Plain during the Asian summer monsoon season: a case study J. Wu et al. https://doi.org/10.5194/acp-18-8491-2018
52. Dominant Synoptic Patterns Controlling PM₁₀ Spatial Variabilities over the Korean Peninsula H. Park et al. https://doi.org/10.5467/JKESS.2019.40.5.476
53. Impact of the Loess Plateau on the atmospheric boundary layer structure and air quality in the North China Plain: A case study X. Hu et al. https://doi.org/10.1016/j.scitotenv.2014.08.053
54. Influences of meteorological conditions on interannual variations of particulate matter pollution during winter in the Beijing–Tianjin–Hebei area J. He et al. https://doi.org/10.1007/s13351-017-7039-9
55. Quantitative determination of carbonaceous particle mixing state in Paris using single-particle mass spectrometer and aerosol mass spectrometer measurements R. Healy et al. https://doi.org/10.5194/acp-13-9479-2013
56. Evaluation of an Air Pollution Forecasting System Based on Micro-Pulse Lidar Cruising Measurements in the South China Sea Y. Tang et al. https://doi.org/10.3390/rs13152855
57. Why is the air humid during wintertime heavy haze days in Beijing? J. Wu et al. https://doi.org/10.1016/j.scitotenv.2022.158597
58. Multi-model evaluation of short-lived pollutant distributions over east Asia during summer 2008 B. Quennehen et al. https://doi.org/10.5194/acp-16-10765-2016
59. Significant contribution of organics to aerosol liquid water content in winter in Beijing, China X. Jin et al. https://doi.org/10.5194/acp-20-901-2020
60. Numerical simulations of the effects of regional topography on haze pollution in Beijing Z. Zhang et al. https://doi.org/10.1038/s41598-018-23880-8
61. Effects of increasing surface reflectivity on aerosol, radiation, and cloud interactions in the urban atmosphere Z. Jandaghian & H. Akbari https://doi.org/10.1007/s00704-019-03006-4
62. Impact of China's ECA policies on air pollution in coastal cities: Empirical analysis based on synthetic-DID model J. Shi et al. https://doi.org/10.1016/j.cities.2024.104871
63. The impact of steel emissions on air quality and pollution control strategy in Caofeidian, North China J. He et al. https://doi.org/10.1016/j.apr.2020.04.012
64. Typical synoptic situations and their impacts on the wintertime air pollution in the Guanzhong basin, China N. Bei et al. https://doi.org/10.5194/acp-16-7373-2016
65. Change in diurnal variations of meteorological variables induced by anthropogenic aerosols over the North China Plain in summer 2008 Y. Gao et al. https://doi.org/10.1007/s00704-015-1403-4
66. Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing Z. Zhang et al. https://doi.org/10.1016/j.atmosenv.2015.02.071
67. Dynamic effect analysis of meteorological conditions on air pollution: A case study from Beijing Y. Zhang https://doi.org/10.1016/j.scitotenv.2019.05.360
68. Impact of Income, Density, and Population Size on PM2.5 Pollutions: A Scaling Analysis of 254 Large Cities in Six Developed Countries M. Kim et al. https://doi.org/10.3390/ijerph18179019
69. Coupling coordination relationships between air pollutant concentrations and emissions in China Q. Wu et al. https://doi.org/10.1016/j.apr.2023.101678
70. Unbalanced emission reductions and adverse meteorological conditions facilitate the formation of secondary pollutants during the COVID-19 lockdown in Beijing T. Ma et al. https://doi.org/10.1016/j.scitotenv.2022.155970
71. Opposite impact of emission reduction during the COVID-19 lockdown period on the surface concentrations of PM2.5 and O3 in Wuhan, China H. Yin et al. https://doi.org/10.1016/j.envpol.2021.117899
72. Spatiotemporal variations of air pollutants in western China and their relationship to meteorological factors and emission sources J. Yang et al. https://doi.org/10.1016/j.envpol.2019.07.120
73. Systematic bias of WRF-CMAQ PM10 simulations for Seoul, Korea S. Hur et al. https://doi.org/10.1016/j.atmosenv.2020.117904
74. WITHDRAWN: Cause and predictability for the severe haze pollutions in downtown Beijing during November–December 2015 Z. Zhang et al. https://doi.org/10.1016/j.scitotenv.2016.12.070
75. Impacts of short-term mitigation measures on PM2.5 and radiative effects: a case study at a regional background site near Beijing, China Q. Wang et al. https://doi.org/10.5194/acp-19-1881-2019
76. Investigations on the impact of single direct and indirect, and multiple emission–control measures on cold–season near–surface PM2.5 concentrations in Fairbanks, Alaska N. Mölders https://doi.org/10.5094/APR.2013.009
77. Modeling study of source contributions and emergency control effects during a severe haze episode over the Beijing-Tianjin-Hebei area H. Chen et al. https://doi.org/10.1007/s11426-015-5458-y
78. The influence of atmospheric blocking on regional PM10 aerosol transport to South Korea during February–March of 2019 J. Cho et al. https://doi.org/10.1016/j.atmosenv.2022.119056
79. Air pollution deterioration prior to dissipation induced by complex topography: A case study in the Sichuan Basin, southwestern China Y. Liu et al. https://doi.org/10.1016/j.atmosres.2025.108071
80. Seasonal Disparity in the Effect of Meteorological Conditions on Air Quality in China Based on Artificial Intelligence Y. Zhang https://doi.org/10.3390/atmos12121670
81. The impacts of pollution control measures on PM2.5 reduction: Insights of chemical composition, source variation and health risk H. Zheng et al. https://doi.org/10.1016/j.atmosenv.2018.10.023
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87. Air quality and acid deposition impacts of local emissions and transboundary air pollution in Japan and South Korea S. Yim et al. https://doi.org/10.5194/acp-19-13309-2019
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99. Exploring the inconsistent variations in atmospheric primary and secondary pollutants during the 2016 G20 summit in Hangzhou, China: implications from observations and models G. Zhang et al. https://doi.org/10.5194/acp-20-5391-2020
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102. Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 2: Impact of vehicle emission on urban air quality J. He et al. https://doi.org/10.5194/acp-16-3171-2016
103. Effect of emission control measures on ozone concentrations in Hangzhou during G20 meeting in 2016 Y. Wang & H. Liao https://doi.org/10.1016/j.chemosphere.2020.127729
104. Effectiveness of short-term air quality emission controls: a high-resolution model study of Beijing during the Asia-Pacific Economic Cooperation (APEC) summit period T. Ansari et al. https://doi.org/10.5194/acp-19-8651-2019
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