209 citations as recorded by crossref.

1. Aerosol–radiation feedback deteriorates the wintertime haze in the North China Plain J. Wu et al. 10.5194/acp-19-8703-2019
2. The Influence of Internal Climate Variability on Projections of Synoptically Driven Beijing Haze C. Callahan & J. Mankin 10.1029/2020GL088548
3. On the Analysis of the Low-Level Double Temperature Inversion Over the United Arab Emirates: A Case Study During April 2019 M. Weston et al. 10.1109/LGRS.2020.2972597
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11. Haze pollution under a high atmospheric oxidization capacity in summer in Beijing: insights into formation mechanism of atmospheric physicochemical processes D. Zhao et al. 10.5194/acp-20-4575-2020
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21. Modeling study of aerosol-meteorology feedback during winter haze events over the north China plain J. Li et al. 10.1016/j.apr.2021.101311
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24. Adjusting prediction of ozone concentration based on CMAQ model and machine learning methods in Sichuan-Chongqing region, China H. Lu et al. 10.1016/j.apr.2021.101066
25. Reduction in European anthropogenic aerosols and the weather conditions conducive to PM2.5 pollution in North China: a potential global teleconnection pathway Z. Wang et al. 10.1088/1748-9326/ac269d
26. The two-way feedback effect between aerosol pollution and planetary boundary layer structure on the explosive rise of PM2.5 after the “Ten Statements of Atmosphere” in Beijing T. Zhang et al. 10.1016/j.scitotenv.2019.136259
27. Regional transport dominates air pollution events in all seasons in Beijing in 2020 Z. Zhang et al. 10.1016/j.atmosenv.2024.120395
28. Fast Secondary Aerosol Formation in Residual Layer and Its Impact on Air Pollution Over Eastern China X. Zhou et al. 10.1029/2023JD038501
29. Combustion-driven inorganic nitrogen in PM2.5 from a city in central China has the potential to enhance the nitrogen load of North China H. Xiao et al. 10.1016/j.jhazmat.2024.136620
30. Unexpected Increases of Severe Haze Pollution During the Post COVID‐19 Period: Effects of Emissions, Meteorology, and Secondary Production W. Zhou et al. 10.1029/2021JD035710
31. Evaluating the contributions of changed meteorological conditions and emission to substantial reductions of PM2.5 concentration from winter 2016 to 2017 in Central and Eastern China W. Zhang et al. 10.1016/j.scitotenv.2020.136892
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37. Contradictory response of ozone and particulate matter concentrations to boundary layer meteorology Y. Liu & G. Tang 10.1016/j.envpol.2023.123209
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39. Spatial source, simulating improvement, and short-term health effect of high PM2.5 exposure during mutation event in the key urban agglomeration regions in China X. Cheng et al. 10.1016/j.envpol.2024.124738
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41. Atmospheric teleconnection processes linking winter air stagnation and haze extremes in China with regional Arctic sea ice decline Y. Zou et al. 10.5194/acp-20-4999-2020
42. Research Progress on Estimation of the Atmospheric Boundary Layer Height H. Zhang et al. 10.1007/s13351-020-9910-3
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46. Characteristics of PM2.5 and secondary inorganic pollution formation during the heating season of 2021 in Beijing J. Wang et al. 10.3389/fenvs.2022.1028468
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48. Simulation and Projection of Near-Surface Wind Speeds in China by BCC-CSM Models Y. Xiong et al. 10.1007/s13351-019-8043-z
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50. Robust prediction of hourly PM2.5 from meteorological data using LightGBM J. Zhong et al. 10.1093/nsr/nwaa307
51. Molecular and Elemental Tracers‐Based Receptor Modeling of PM2.5 in Suburban Hong Kong With Hourly Time‐Scale Air Quality Considerations S. Wang et al. 10.1029/2023JD039875
52. Meteorological mechanisms of regional PM2.5 and O3 transport in the North China Plain driven by the East Asian monsoon S. Liu et al. 10.1016/j.apr.2022.101638
53. PM 2.5 estimation and its relationship with NO 2 and SO 2 in China from 2016 to 2020 H. Tan et al. 10.1080/17538947.2024.2398055
54. Spatiotemporal characteristics of PM2.5 concentration in the Yangtze River Delta urban agglomeration, China on the application of big data and wavelet analysis J. Wang et al. 10.1016/j.scitotenv.2020.138134
55. Evolution of organic carbon during COVID-19 lockdown period: Possible contribution of nocturnal chemistry Z. Feng et al. 10.1016/j.scitotenv.2021.152191
56. Exploring efficient strategies for air quality improvement in China based on its regional characteristics and interannual evolution of PM2.5 pollution X. Geng et al. 10.1016/j.envres.2024.119009
57. Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005–2017 C. Zhang et al. 10.1038/s41377-019-0210-6
58. Submicron Aerosol Composition and Source Contribution across the Kathmandu Valley, Nepal, in Winter B. Werden et al. 10.1021/acsearthspacechem.2c00226
59. The evolution of an aerosol event observed from aircraft in Beijing: An insight into regional pollution transport P. Tian et al. 10.1016/j.atmosenv.2019.02.005
60. Quantitative verification of the turbulence barrier effect during heavy haze pollution events Y. Ren et al. 10.1088/2515-7620/ac6381
61. Impacts of Aerosol Chemical Composition on Cloud Condensation Nuclei (CCN) Activity during Wintertime in Beijing, China Q. Liu et al. 10.3390/rs15174119
62. Seasonal and Diurnal Characteristics of the Vertical Profile of Aerosol Optical Properties in Urban Beijing, 2017–2021 X. Zhang et al. 10.3390/rs15020475
63. Effects of aerosol pollution on PM2.5-associated bacteria in typical inland and coastal cities of northern China during the winter heating season M. Wei et al. 10.1016/j.envpol.2020.114188
64. Meteorological factors related to winter severe PM2.5 pollution in China: In perspective of thresholds and relation of occurrence frequency with East Asian trough Y. Li et al. 10.1016/j.apr.2023.102002
65. Global view on China's foggy-haze associated with air-pollutant conveyor belts J. Wang et al. 10.1016/j.scitotenv.2019.07.254
66. Air pollution episodes during the COVID-19 outbreak in the Beijing–Tianjin–Hebei region of China: An insight into the transport pathways and source distribution N. Zhao et al. 10.1016/j.envpol.2020.115617
67. Formation mechanism of heavy haze-fog associated with the interactions between different scales of atmospheric processes in China W. Deying et al. 10.1016/j.apr.2021.101085
68. Influence of cloud, fog, and high relative humidity during pollution transport events in South Korea: Aerosol properties and PM2.5 variability T. Eck et al. 10.1016/j.atmosenv.2020.117530
69. COATS: Comprehensive observation on the atmospheric boundary layer three-dimensional structure during haze pollution in the North China Plain Q. Li et al. 10.1007/s11430-022-1092-y
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73. COVID-19 pandemic over 2020 (with lockdowns) and 2021 (with vaccinations): similar effects for seasonality and environmental factors M. Coccia 10.1016/j.envres.2022.112711
74. Factors affecting the different growth rates of PM2.5：Evidence from composition variation, formation mechanisms, and importance analysis of water-soluble inorganic ions with case study in northern China H. Li et al. 10.1016/j.atmosenv.2024.120913
75. 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. 10.5194/acp-19-8651-2019
76. Micro-environmental dynamics of particulate (PM2.5 and PM10) air pollution in Rajshahi City: a spatiotemporal analysis H. Mahmud et al. 10.1108/MEQ-08-2023-0265
77. Spatiotemporal distribution of PM2.5 and health risk assessment in Kolkata, India: Evaluation of non-carcinogenic health hazards and premature mortality B. Ghosh et al. 10.1016/j.uclim.2024.102005
78. Attribution of the worse aerosol pollution in March 2018 in Beijing to meteorological variability J. Zhong et al. 10.1016/j.atmosres.2020.105294
79. Exploring dust heterogeneous chemistry over China: Insights from field observation and GEOS-Chem simulation R. Tian et al. 10.1016/j.scitotenv.2021.149307
80. Comparison of mixing layer height inversion algorithms using lidar and a pollution case study in Baoding, China X. Ji et al. 10.1016/j.jes.2018.11.003
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87. The ‘two-way feedback mechanism’ between unfavorable meteorological conditions and cumulative PM2.5 mass existing in polluted areas south of Beijing L. Liu et al. 10.1016/j.atmosenv.2019.02.050
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