121 citations as recorded by crossref.

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30. Retrieving aerosols single scattering albedo from MODIS reflectances Q. Wang et al. 10.1016/j.atmosres.2022.106381
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40. Improved inversion of aerosol components in the atmospheric column from remote sensing data Y. Zhang et al. 10.5194/acp-20-12795-2020
41. Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China Y. Su et al. 10.1016/j.atmosenv.2021.118205
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44. Long-term trend and spatiotemporal variations of haze over China by satellite observations from 1979 to 2013 X. Zhang et al. 10.1016/j.atmosenv.2015.08.053
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47. Multi-Year Analyses of Columnar Aerosol Optical and Microphysical Properties in Xi’an, a Megacity in Northwestern China X. Su et al. 10.3390/rs10081169
48. Spatial and Temporal Variability of Aerosol Vertical Distribution Based on Lidar Observations: A Haze Case Study over Jinhua Basin W. Zhang et al. 10.1155/2015/349592
49. Retrieval of aerosol components directly from satellite and ground-based measurements L. Li et al. 10.5194/acp-19-13409-2019
50. Light-absorption properties of brown carbon aerosols in the Asian outflow: Implications of a combination of filter and ground remote-sensing observations at Fukue Island, Japan C. Zhu et al. 10.1016/j.scitotenv.2021.149155
51. Aerosol Optical Properties Retrieved from a Prede Sky Radiometer over an Urban Site of Beijing, China H. CHE et al. 10.2151/jmsj.2014-A02
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53. Impact of aerosol–meteorology interactions on fine particle pollution during China’s severe haze episode in January 2013 J. Wang et al. 10.1088/1748-9326/9/9/094002
54. Variation of ambient carbonyl levels in urban Beijing between 2005 and 2012 W. Chen et al. 10.1016/j.atmosenv.2015.12.062
55. Aerosol optical, microphysical, chemical and radiative properties of high aerosol load cases over the Arctic based on AERONET measurements Y. Xie et al. 10.1038/s41598-018-27744-z
56. Characterization of vertical distribution and radiative forcing of ambient aerosol over the Yangtze River Delta during 2013–2015 T. Sun et al. 10.1016/j.scitotenv.2018.09.262
57. Aerosol Optical Properties over Beijing during the World Athletics Championships and Victory Day Military Parade in August and September 2015 Y. Zheng et al. 10.3390/atmos7030047
58. A decadal optical investigation (2009–2018) of anthropogenic aerosol of Beijing, China R. Meziane et al. 10.1007/s11869-021-01135-2
59. On the severe haze in Beijing during January 2013: Unraveling the effects of meteorological anomalies with WRF-Chem L. Zhang et al. 10.1016/j.atmosenv.2015.01.001
60. Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter X. Tu et al. 10.3390/atmos10030120
61. Diversity and Composition of Airborne Fungal Community Associated with Particulate Matters in Beijing during Haze and Non-haze Days D. Yan et al. 10.3389/fmicb.2016.00487
62. Optical and radiative properties of aerosols during a severe haze episode over the North China Plain in December 2016 Y. Zheng et al. 10.1007/s13351-017-7073-7
63. Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data Y. Zhang et al. 10.3390/atmos10060338
64. Estimation of columnar concentrations of absorbing and scattering fine mode aerosol components using AERONET data Y. Choi & Y. Ghim 10.1002/2016JD025080
65. Contrasting aerosol optical and radiative properties between dust and urban haze episodes in megacities of Pakistan M. Iftikhar et al. 10.1016/j.atmosenv.2017.11.011
66. Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data F. Wang et al. 10.5194/amt-15-6127-2022
67. Aerosol optical characteristics and radiative forcing in urban Beijing S. Zhao et al. 10.1016/j.atmosenv.2019.05.034
68. A Quantitatively Operational Judging Method for the Process of Large Regional Heavy Haze Event Based on Satellite Remote Sensing and Numerical Simulations Q. Wang et al. 10.3390/atmos8110222
69. Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index S. Wang et al. 10.1016/j.atmosenv.2020.117959
70. Retrieval of Atmospheric Fine Particulate Density Based on Merging Particle Size Distribution Measurements: Multi‐instrument Observation and Quality Control at Shouxian Z. Li et al. 10.1029/2018JD028956
71. Contrasting Aerosol Optical Characteristics and Source Regions During Summer and Winter Pollution Episodes in Nanjing, China . Wang et al. 10.3390/rs11141696
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78. Dependence of columnar aerosol size distribution, optical properties, and chemical components on regional transport in Beijing S. Wang et al. 10.1016/j.atmosenv.2017.09.016
79. Sub-Mode Aerosol Volume Size Distribution and Complex Refractive Index from the Three-Year Ground-Based Measurements in Chengdu China C. Zhang et al. 10.3390/atmos10020046
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88. Two heavy haze events over Lumbini in southern Nepal: Enhanced aerosol radiative forcing and heating rates D. Rupakheti et al. 10.1016/j.atmosenv.2020.117658
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