127 citations as recorded by crossref.

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2. Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City W. Tang et al. https://doi.org/10.3390/su9091499
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5. Columnar aerosol types and compositions over peninsular Southeast Asia based on long-term AERONET data S. Wang et al. https://doi.org/10.1007/s11869-021-01119-2
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33. Validation of MODIS Aerosol Optical Depth Retrieval over Mountains in Central China Based on a Sun-Sky Radiometer Site of SONET Y. Ma et al. https://doi.org/10.3390/rs8020111
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36. Characteristics and chemical reactivity of biogenic volatile organic compounds from dominant forest species in the Jing-Jin-Ji area, China Y. Lin et al. https://doi.org/10.1186/s40663-021-00322-y
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39. Contribution of regional transport to the black carbon aerosol during winter haze period in Beijing Q. Wang et al. https://doi.org/10.1016/j.atmosenv.2016.02.031
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43. A Two-Stage Algorithm for Pan-Asian Haze Mapping with the FY-4A/AGRI Geostationary Imager O. Liu et al. https://doi.org/10.3390/rs18050737
44. A review of experimental techniques for aerosol hygroscopicity studies M. Tang et al. https://doi.org/10.5194/acp-19-12631-2019
45. Variations in major aerosol components from long-term measurement of columnar aerosol optical properties at a SKYNET site downwind of Seoul, Korea Y. Choi & Y. Ghim https://doi.org/10.1016/j.atmosenv.2020.117991
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47. 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. https://doi.org/10.1016/j.atmosenv.2021.118205
48. Estimation of Surface Concentrations of Black Carbon from Long-Term Measurements at Aeronet Sites over Korea Y. Choi et al. https://doi.org/10.3390/rs12233904
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50. Long-term trend and spatiotemporal variations of haze over China by satellite observations from 1979 to 2013 X. Zhang et al. https://doi.org/10.1016/j.atmosenv.2015.08.053
51. Interdecadal variation in aerosol optical properties and their relationships to meteorological parameters over northeast China from 1980 to 2017 H. Zhao et al. https://doi.org/10.1016/j.chemosphere.2019.125737
52. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. https://doi.org/10.1016/j.earscirev.2023.104634
53. Long‐Term Investigation of Aerosol Optical and Radiative Characteristics in a Typical Megacity of Central China During Winter Haze Periods Y. Ma et al. https://doi.org/10.1029/2019JD030840
54. Brown carbon unveiled: Molecular complexity, observational frontiers, and climate forcing T. Yang et al. https://doi.org/10.1016/j.fmre.2026.01.010
55. Monitoring of aerosol optical-microphysical properties from DPC/GF-5(02): A case study of dust event in north China plain Y. Cao et al. https://doi.org/10.1016/j.atmosenv.2025.121193
56. Multi-Year Analyses of Columnar Aerosol Optical and Microphysical Properties in Xi’an, a Megacity in Northwestern China X. Su et al. https://doi.org/10.3390/rs10081169
57. Spatial and Temporal Variability of Aerosol Vertical Distribution Based on Lidar Observations: A Haze Case Study over Jinhua Basin W. Zhang et al. https://doi.org/10.1155/2015/349592
58. Retrieval of aerosol components directly from satellite and ground-based measurements L. Li et al. https://doi.org/10.5194/acp-19-13409-2019
59. 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. https://doi.org/10.1016/j.scitotenv.2021.149155
60. Aerosol Optical Properties Retrieved from a Prede Sky Radiometer over an Urban Site of Beijing, China H. CHE et al. https://doi.org/10.2151/jmsj.2014-A02
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63. Variation of ambient carbonyl levels in urban Beijing between 2005 and 2012 W. Chen et al. https://doi.org/10.1016/j.atmosenv.2015.12.062
64. Aerosol optical, microphysical, chemical and radiative properties of high aerosol load cases over the Arctic based on AERONET measurements Y. Xie et al. https://doi.org/10.1038/s41598-018-27744-z
65. Characterization of vertical distribution and radiative forcing of ambient aerosol over the Yangtze River Delta during 2013–2015 T. Sun et al. https://doi.org/10.1016/j.scitotenv.2018.09.262
66. Aerosol Optical Properties over Beijing during the World Athletics Championships and Victory Day Military Parade in August and September 2015 Y. Zheng et al. https://doi.org/10.3390/atmos7030047
67. A decadal optical investigation (2009–2018) of anthropogenic aerosol of Beijing, China R. Meziane et al. https://doi.org/10.1007/s11869-021-01135-2
68. Study on an Air Quality Evaluation Model for Beijing City Under Haze-Fog Pollution Based on New Ambient Air Quality Standards L. Li & D. Liu https://doi.org/10.3390/ijerph110908909
69. 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
70. Air Quality in Ningbo and Transport Trajectory Characteristics of Primary Pollutants in Autumn and Winter X. Tu et al. https://doi.org/10.3390/atmos10030120
71. Diversity and Composition of Airborne Fungal Community Associated with Particulate Matters in Beijing during Haze and Non-haze Days D. Yan et al. https://doi.org/10.3389/fmicb.2016.00487
72. Optical and radiative properties of aerosols during a severe haze episode over the North China Plain in December 2016 Y. Zheng et al. https://doi.org/10.1007/s13351-017-7073-7
73. Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data Y. Zhang et al. https://doi.org/10.3390/atmos10060338
74. Estimation of columnar concentrations of absorbing and scattering fine mode aerosol components using AERONET data Y. Choi & Y. Ghim https://doi.org/10.1002/2016JD025080
75. Contrasting aerosol optical and radiative properties between dust and urban haze episodes in megacities of Pakistan M. Iftikhar et al. https://doi.org/10.1016/j.atmosenv.2017.11.011
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78. 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. https://doi.org/10.3390/atmos8110222
79. Real-time retrieval of aerosol chemical composition using effective density and the imaginary part of complex refractive index S. Wang et al. https://doi.org/10.1016/j.atmosenv.2020.117959
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