100 citations as recorded by crossref.

1. Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. 10.1016/j.atmosenv.2023.119676
2. Long-term AOD trend assessment over the Eastern Mediterranean region: A comparative study including a new merged aerosol product A. Shaheen et al. 10.1016/j.atmosenv.2020.117736
3. Convection-permitting regional climate simulation of warm-season precipitation over Eastern China Y. Yun et al. 10.1007/s00382-019-05070-y
4. Climatological variations in aerosol optical depth and aerosol type identification in Liaoning of Northeast China based on MODIS data from 2002 to 2019 H. Zhao et al. 10.1016/j.scitotenv.2021.146810
5. Evaluation of MERRA-2 Aerosol Optical and Component Properties over China Using SONET and PARASOL/GRASP Data Y. Ou et al. 10.3390/rs14040821
6. Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China H. Kang et al. 10.1016/j.atmosres.2018.09.012
7. Evaluation and analysis of long-term MODIS MAIAC aerosol products in China G. Huang et al. 10.1016/j.scitotenv.2024.174983
8. Investigation of Spatiotemporal Variation and Drivers of Aerosol Optical Depth in China from 2010 to 2020 Y. Wang et al. 10.3390/atmos14030477
9. Decadal variations in natural and anthropogenic aerosol optical depth over the Bay of Bengal: the influence of pollutants from Indo-GangeticPlain K. Yadav et al. 10.1007/s11356-021-14703-x
10. Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type, aerosol loading and aerosol absorption L. Mei et al. 10.1016/j.atmosres.2019.05.023
11. Nonlinear response of Asian summer monsoon precipitation to emission reductions in South and East Asia R. Herbert et al. 10.1088/1748-9326/ac3b19
12. Investigations into the development of a satellite-based aerosol climate data record using ATSR-2, AATSR and AVHRR data over north-eastern China from 1987 to 2012 Y. Che et al. 10.5194/amt-12-4091-2019
13. Exploring the relationships between ground-measured particulate matter and satellite-retrieved aerosol parameters in China S. Yin 10.1007/s11356-022-19049-6
14. Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
15. Long-term PM2.5 pollution over China: Identification of PM2.5 pollution hotspots and source contributions M. Ali et al. 10.1016/j.scitotenv.2023.164871
16. The Cross-Border Transport of PM2.5 from the Southeast Asian Biomass Burning Emissions and Its Impact on Air Pollution in Yunnan Plateau, Southwest China Q. Yang et al. 10.3390/rs14081886
17. Satellite Observations of PM2.5 Changes and Driving Factors Based Forecasting Over China 2000–2025 Y. Zhang et al. 10.3390/rs12162518
18. Evaluation of MACC total aerosol optical depth and its correction model based on the random forest regression Y. Zhen & G. Shi 10.1007/s00704-023-04455-8
19. Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean X. Shen et al. 10.3390/rs10040573
20. VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China L. He et al. 10.1016/j.atmosenv.2021.118265
21. Long-Term Variation of Black Carbon Absorption Aerosol Optical Depth from AERONET Data over East Asia N. Dehkhoda et al. 10.3390/rs12213551
22. A satellite-derived, ground-measurement-independent monthly PM2.5 mass concentration dataset over China during 2000–2015 Y. Zhang et al. 10.1080/20964471.2021.1918908
23. Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites H. Shi et al. 10.1016/j.atmosres.2019.01.009
24. Monitoring multiple satellite aerosol optical depth (AOD) products within the Copernicus Atmosphere Monitoring Service (CAMS) data assimilation system S. Garrigues et al. 10.5194/acp-22-14657-2022
25. Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. 10.5194/acp-21-12331-2021
26. Long-term evolution of clear sky surface solar radiation and its driving factors over East Asia Z. Wang et al. 10.1016/j.atmosenv.2021.118661
27. Long-term analysis of AOD separated by aerosol type in East Asia J. Shin et al. 10.1016/j.atmosenv.2023.119957
28. Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry L. Remer et al. 10.3389/fenvs.2019.00094
29. A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. 10.1029/2018JD029929
30. Analysis of Long-Term Aerosol Optical Properties Combining AERONET Sunphotometer and Satellite-Based Observations in Hong Kong X. Yu et al. 10.3390/rs14205220
31. Estimation of remote sensing based ecological index along the Grand Canal based on PCA-AHP-TOPSIS methodology Y. Li et al. 10.1016/j.ecolind.2020.107214
32. Vertical Structures of Meteorological Elements and Black Carbon at Mt. Tianshan Using an Unmanned Aerial Vehicle System H. Wang et al. 10.3390/rs13071267
33. Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing F. Bao et al. 10.1016/j.rse.2024.114275
34. Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China M. Ali et al. 10.1016/j.gsf.2021.101325
35. Spatiotemporal changes in aerosols over Bangladesh using 18 years of MODIS and reanalysis data M. Ali et al. 10.1016/j.jenvman.2022.115097
36. Evaluation of the MODIS Collection 6.1 3 km aerosol optical depth product over China M. Zhang et al. 10.1016/j.atmosenv.2022.118970
37. Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. 10.1016/j.apr.2022.101359
38. The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China C. Fan et al. 10.3390/rs12101613
39. Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017) A. Gkikas et al. 10.5194/acp-22-3553-2022
40. Long-term spatiotemporal variations of aerosol optical depth over Yellow and Bohai Sea X. Shen et al. 10.1007/s11356-019-04203-4
41. A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia Y. Wang et al. 10.3390/rs13030365
42. Spatio-Temporal Variation in AOD and Correlation Analysis with PAR and NPP in China from 2001 to 2017 X. Li et al. 10.3390/rs12060976
43. Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis Y. Yu et al. 10.5194/acp-19-363-2019
44. Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases M. Bilal et al. 10.1016/j.rse.2021.112617
45. LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion K. Bai et al. 10.5194/essd-14-907-2022
46. Investigation of Aerosol Direct Effect over China under El Niño and Its Spatial Distribution Using WRF-Chem F. Li et al. 10.3390/atmos12010058
47. 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
48. Analysis of spatial and temporal variability of aerosol optical depth over China using MODIS combined Dark Target and Deep Blue product M. Filonchyk et al. 10.1007/s00704-018-2737-5
49. A Long-term Trend of Annual Average Aerosol Optical Properties in the Korean Peninsula using AERONET Sun/Sky Radiometer Data Y. Noh 10.5572/KOSAE.2021.37.3.456
50. Interdecadal Changes in Aerosol Optical Depth over Pakistan Based on the MERRA-2 Reanalysis Data during 1980–2018 R. Khan et al. 10.3390/rs13040822
51. Variability of NO<sub>2</sub> concentrations over China and effect on air quality derived from satellite and ground-based observations C. Fan et al. 10.5194/acp-21-7723-2021
52. Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations L. Sogacheva et al. 10.5194/acp-18-16631-2018
53. Aerosol first indirect effect over narrow longitude regions of North Pacific and same-latitude lands J. Yang et al. 10.1016/j.atmosenv.2022.119081
54. Effects of anthropogenic and sea salt aerosols on a heavy rainfall event during the early-summer rainy season over coastal Southern China J. Guo et al. 10.1016/j.atmosres.2021.105923
55. Preliminary Investigation of a New AHI Aerosol Optical Depth (AOD) Retrieval Algorithm and Evaluation with Multiple Source AOD Measurements in China F. Yang et al. 10.3390/rs10050748
56. Spatio-temporal variations and trends of MODIS C6.1 Dark Target and Deep Blue merged aerosol optical depth over China during 2000–2017 G. Xie et al. 10.1016/j.atmosenv.2019.116846
57. Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth H. Che et al. 10.5194/acp-19-10497-2019
58. Interdecadal variation in aerosol optical properties and their relationships to meteorological parameters over northeast China from 1980 to 2017 H. Zhao et al. 10.1016/j.chemosphere.2019.125737
59. An Ensemble Machine-Learning Model To Predict Historical PM2.5Concentrations in China from Satellite Data Q. Xiao et al. 10.1021/acs.est.8b02917
60. Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017) L. Sogacheva et al. 10.5194/acp-18-11389-2018
61. Characteristics of Pre-summer Daytime Cloud Regimes over Coastal South China from the Himawari-8 Satellite M. Li et al. 10.1007/s00376-021-1148-1
62. Characterizing regional aerosol pollution in central China based on 19 years of MODIS data: Spatiotemporal variation and aerosol type discrimination L. Shen et al. 10.1016/j.envpol.2020.114556
63. A Comprehensive Analysis of AOD and its Species from Reanalysis Data over the Middle East and North Africa Regions: Evaluation of Model Performance Using Machine Learning Techniques S. Berhane et al. 10.1007/s41748-024-00513-x
64. Long-term aerosol optical depth trend over Iran and identification of dominant aerosol types R. Yousefi et al. 10.1016/j.scitotenv.2020.137906
65. Identification of Aerosol Pollution Hotspots in Jiangsu Province of China Y. Wang et al. 10.3390/rs13142842
66. Declining diurnal temperature range in the North China Plain related to environmental changes W. Xue et al. 10.1007/s00382-018-4505-8
67. Seasonal evolution of aerosol loading and its vertical distribution in northeastern China from long-term satellite observations and model reanalysis H. Zhao et al. 10.1016/j.atmosenv.2023.119720
68. Multi-Time Scale Analysis of Regional Aerosol Optical Depth Changes in National-Level Urban Agglomerations in China Using Modis Collection 6.1 Datasets from 2001 to 2017 L. Zhang et al. 10.3390/rs11020201
69. Description and evaluation of a secondary organic aerosol and new particle formation scheme within TM5-MP v1.2 T. Bergman et al. 10.5194/gmd-15-683-2022
70. Impact of Optical Aerosol Depth (AOD) on Light Pollution Level: a spatio-temporal analysis A. Ayudyanti & I. Hidayati 10.1088/1755-1315/884/1/012037
71. Study of transport of atmospheric admixtures and temperature anomalies using trajectory methods at the A.M. Obukhov Institute of Atmospheric Physics K. Shukurov et al. 10.1088/1755-1315/231/1/012048
72. Variations and photochemical transformations of atmospheric constituents in North China J. Bai et al. 10.1016/j.atmosenv.2018.07.004
73. 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
74. Analysis of spatial-temporal heterogeneity in remotely sensed aerosol properties observed during 2005–2015 over three countries along the Gulf of Guinea Coast in Southern West Africa M. Aklesso et al. 10.1016/j.atmosenv.2018.03.062
75. Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China D. Li et al. 10.3390/rs12060978
76. Reconstructing MODIS aerosol optical depth and exploring dynamic and influential factors of AOD via random forest at the global scale B. Guo et al. 10.1016/j.atmosenv.2023.120159
77. Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, deep blue, and dark target AOD and machine learning algorithms S. Nabavi et al. 10.1016/j.apr.2018.12.017
78. Interannual variability and trends of combustion aerosol and dust in major continental outflows revealed by MODIS retrievals and CAM5 simulations during 2003–2017 H. Yu et al. 10.5194/acp-20-139-2020
79. Research agenda for the Russian Far East and utilization of multi-platform comprehensive environmental observations T. Petäjä et al. 10.1080/17538947.2020.1826589
80. Contrasting Aerosol Optical Characteristics and Source Regions During Summer and Winter Pollution Episodes in Nanjing, China J. Wang et al. 10.3390/rs11141696
81. Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach J. Li et al. 10.1029/2019JD031884
82. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. 10.1016/j.earscirev.2023.104634
83. Quantitative Analysis of Aerosol Influence on Suomi-NPP VIIRS Nighttime Light in China X. Wang et al. 10.1109/JSTARS.2020.3003480
84. Integrating satellite and model data to explore spatial-temporal changes in aerosol optical properties and their meteorological relationships in northwest India P. Pippal et al. 10.1016/j.scitotenv.2024.170835
85. Characterization of the major aerosol species over Egypt based on 10 years of CAMS reanalysis data M. Elshora & E. Fayez 10.1016/j.apr.2024.102094
86. An assessment of land energy balance over East Asia from multiple lines of evidence and the roles of the Tibet Plateau, aerosols, and clouds Q. Wang et al. 10.5194/acp-22-15867-2022
87. Causes of Dimming and Brightening in China Inferred from Homogenized Daily Clear-Sky and All-Sky in situ Surface Solar Radiation Records (1958–2016) S. Yang et al. 10.1175/JCLI-D-18-0666.1
88. Spatiotemporal Variation of Aerosol Optical Depth Based on 3-D Spatiotemporal Interpolation L. Zhang & M. Zhang 10.1109/LGRS.2021.3120105
89. The impact of aerosol on MODIS cloud detection and property retrieval in seriously polluted East China X. Zhang et al. 10.1016/j.scitotenv.2019.134634
90. Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
91. Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
92. Spatiotemporal Variations and Driving Factor Analysis of Aerosol Optical Depth in Terrestrial Ecosystems in Northern Xinjiang from 2001 to 2023 Z. Xiang et al. 10.3390/atmos15111302
93. Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event X. Wei et al. 10.1016/j.jag.2021.102366
94. Spatiotemporal Investigations of Aerosol Optical Properties Over Bangladesh for the Period 2002–2016 M. Islam et al. 10.1007/s41748-019-00120-1
95. Monitoring temporal–spatial variations of AOD over the Yangtze River Delta, China X. Wang et al. 10.1007/s00477-018-1575-4
96. Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
97. Trends and Variability in Aerosol Optical Depth over North China from MODIS C6 Aerosol Products during 2001–2016 P. Wang et al. 10.3390/atmos8110223
98. Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets K. Hu et al. 10.1007/s11356-017-0715-6
99. The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program H. Lappalainen et al. 10.1080/20964471.2018.1437704
100. What drives changes in aerosol properties over the Yangtze River Basin in past four decades？ L. He et al. 10.1016/j.atmosenv.2018.07.034