145 citations as recorded by crossref.

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48. Effects of soiling on photovoltaic (PV) modules in the Atacama Desert R. Cordero et al. 10.1038/s41598-018-32291-8
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52. PM<sub>2.5</sub> surface concentrations in southern West African urban areas based on sun photometer and satellite observations J. Léon et al. 10.5194/acp-21-1815-2021
53. A comparative study of EOF and NMF analysis on downward trend of AOD over China from 2011 to 2019 Q. Ma et al. 10.1016/j.envpol.2021.117713
54. A Validation Approach Considering the Uneven Distribution of Ground Stations for Satellite-Based PM2.5 Estimation T. Li et al. 10.1109/JSTARS.2020.2977668
55. Comparison of Two Air Pollution Episodes over Northeast China in Winter 2016/17 Using Ground-Based Lidar Y. Ma et al. 10.1007/s13351-018-7047-4
56. Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data W. Zhang et al. 10.3390/rs16081410
57. Long-term temporal analysis of the columnar and surface aerosol relationship with planetary boundary layer height at a southern coastal site of Turkey G. Tuna Tuygun & T. Elbir 10.1016/j.apr.2020.09.008
58. Particulate air pollution in Durban: Characteristics and its relationship with 1 km resolution satellite aerosol optical depth B. Mahesh et al. 10.1016/j.asr.2022.04.053
59. Global and Geographically and Temporally Weighted Regression Models for Modeling PM2.5 in Heilongjiang, China from 2015 to 2018 Q. Wei et al. 10.3390/ijerph16245107
60. Spatio-temporal characteristics of air pollutants over Xinjiang, northwestern China D. Rupakheti et al. 10.1016/j.envpol.2020.115907
61. 15-year variability of desert dust optical depth on global and regional scales S. Logothetis et al. 10.5194/acp-21-16499-2021
62. The comparison of AOD-based and non-AOD prediction models for daily PM2.5 estimation in Guangdong province, China with poor AOD coverage G. Chen et al. 10.1016/j.envres.2021.110735
63. Satellite-based estimation of the impacts of summertime wildfires on PM<sub>2.5</sub> concentration in the United States Z. Xue et al. 10.5194/acp-21-11243-2021
64. Improving the estimating accuracy of extinction coefficient of surface aerosol with a new layer-resolved model in China L. Wang et al. 10.1016/j.scitotenv.2019.136443
65. Spatial Representativeness of PM2.5 Concentrations Obtained Using Observations From Network Stations X. Shi et al. 10.1002/2017JD027913
66. Time series modeling of PM2.5 concentrations with residual variance constraint in eastern mainland China during 2013–2017 S. Li et al. 10.1016/j.scitotenv.2019.135755
67. Classification of aerosol types using AERONET version 3 data over Kuwait City F. Khademi & A. Bayat 10.1016/j.atmosenv.2021.118716
68. The impact of aerosols on photolysis frequencies and ozone production in Beijing during the 4-year period 2012–2015 W. Wang et al. 10.5194/acp-19-9413-2019
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70. Stubborn aerosol: why particulate mass concentrations do not drop during the wet season in Metro Manila, Philippines M. Hilario et al. 10.1039/D2EA00073C
71. Satellite-Based Aerosol Classification for Capital Cities in Asia Using a Random Forest Model W. Choi et al. 10.3390/rs13132464
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74. Evaluating TROPOMI and MODIS performance to capture the dynamic of air pollution in São Paulo state: A case study during the COVID-19 outbreak A. Rudke et al. 10.1016/j.rse.2023.113514
75. The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations Q. Yang et al. 10.1016/j.envpol.2019.02.071
76. Determining the fluctuation of PM2.5 mass concentration and its applicability to Monin–Obukhov similarity Y. Ren et al. 10.1016/j.scitotenv.2019.136398
77. Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting N. Yang et al. 10.1016/j.rse.2021.112828
78. Mechanism of the effect of vertically propagating internal gravity waves on turbulence barrier and pollutant diffusion during heavy haze episodes Z. Wei et al. 10.1016/j.scitotenv.2022.157349
79. Effects of anthropogenic precursor emissions and meteorological conditions on PM2.5 concentrations over the “2+26” cities of northern China J. Dong et al. 10.1016/j.envpol.2022.120392
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83. Dynamics of Mixing Layer Height and Homogeneity from Ceilometer-Measured Aerosol Profiles and Correlation to Ground Level PM2.5 in New York City D. Li et al. 10.3390/rs14246370
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