472 citations as recorded by crossref.

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2. Retrievals of smoke particle properties using AirMSPI measurements acquired during FIREX-AQ field campaign B. Chen et al. https://doi.org/10.1016/j.atmosenv.2026.121960
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4. Direct radiative effect of the Russian wildfires and its impact on air temperature and atmospheric dynamics during August 2010 J. Péré et al. https://doi.org/10.5194/acp-14-1999-2014
5. Retrieval of aerosol composition from spectral aerosol optical depth and optical properties using a machine learning approach D. Ji et al. https://doi.org/10.5194/amt-19-421-2026
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9. Satellite retrieval of aerosol microphysical and optical parameters using neural networks: a new methodology applied to the Sahara desert dust peak M. Taylor et al. https://doi.org/10.5194/amt-7-3151-2014
10. Atmospheric Aerosol Over Ukraine Region: Current Status of Knowledge and Research Efforts G. Milinevsky & V. Danylevsky https://doi.org/10.3389/fenvs.2018.00059
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13. Porous aerosol in degassing plumes of Mt. Etna and Mt. Stromboli V. Shcherbakov et al. https://doi.org/10.5194/acp-16-11883-2016
14. Assessing Superspheroids in Modeling the Scattering Matrices of Dust Aerosols W. Lin et al. https://doi.org/10.1029/2018JD029464
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17. Continental aerosol properties and absorption retrieval using random forest machine learning method specific to geostationary remote sensing F. Bao et al. https://doi.org/10.1016/j.rse.2024.114275
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24. Remote sensing of aerosol properties over the ocean using near-infrared and shortwave infrared multiangular polarimetry: information content analysis Y. Wei et al. https://doi.org/10.1364/OE.562547
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32. Consistent estimation of multiple parameters from MODIS top of atmosphere reflectance data using a coupled soil-canopy-atmosphere radiative transfer model H. Shi et al. https://doi.org/10.1016/j.rse.2016.06.008
33. Comparison of diurnal aerosol products retrieved from combinations of micro-pulse lidar and sun photometer observations over the KAUST observation site A. Lopatin et al. https://doi.org/10.5194/amt-17-4445-2024
34. Aerosol retrieval from space – how does geometry of acquisition impact our ability to characterize aerosol properties B. Fougnie et al. https://doi.org/10.1016/j.jqsrt.2020.107304
35. Derived Profiles of CCN and INP Number Concentrations in the Taklimakan Desert via Combined Polarization Lidar, Sun-Photometer, and Radiosonde Observations S. Zhang et al. https://doi.org/10.3390/rs15051216
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39. Retrieval of aerosol properties from ceilometer and photometer measurements: long-term evaluation with in situ data and statistical analysis at Montsec (southern Pyrenees) G. Titos et al. https://doi.org/10.5194/amt-12-3255-2019
40. Using satellite multi-angle polarization measurements to characterize atmospheric aerosol above Bohai Bay P. Salyuk et al. https://doi.org/10.1016/j.asr.2023.10.007
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44. Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data A. Moallemi et al. https://doi.org/10.5194/amt-15-5619-2022
45. Satellite retrieval of the linear polarization components of the water-leaving radiance in open oceans T. Pan et al. https://doi.org/10.1364/OE.489680
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47. Accounting for particle non-sphericity in modeling of mineral dust radiative properties in the thermal infrared M. Legrand et al. https://doi.org/10.1016/j.jqsrt.2014.07.014
48. Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model H. Wang et al. https://doi.org/10.1029/2019JD032097
49. Shortwave radiative forcing and efficiency of key aerosol types using AERONET data O. García et al. https://doi.org/10.5194/acp-12-5129-2012
50. Inferring Fine-Mode and Coarse-Mode Aerosol Complex Refractive Indices from AERONET Inversion Products over China Q. Chen et al. https://doi.org/10.3390/atmos10030158
51. Global quantification of the dispersion effect with POLDER satellite data H. Wang et al. https://doi.org/10.1038/s41467-025-62238-3
52. Analysis of Aerosol Radiative Forcing over Beijing under Different Air Quality Conditions Using Ground-Based Sun-Photometers between 2013 and 2015 W. Chen et al. https://doi.org/10.3390/rs8060510
53. A Satellite Data Based Detailed Study of the Aerosol Emitted from Open Biomass Burning in Northeast China S. Shi et al. https://doi.org/10.3390/atmos12121700
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55. Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. https://doi.org/10.5194/acp-21-2637-2021
56. Optimization of Aerosol Model Selection for TROPOMI/S5P L. Rao et al. https://doi.org/10.3390/rs13132489
57. Aerosol optical depth and fine-mode fraction retrieval over East Asia using multi-angular total and polarized remote sensing T. Cheng et al. https://doi.org/10.5194/amt-5-501-2012
58. Probing the dynamic characteristics of aerosol originated from South Asia biomass burning using POLDER/GRASP satellite data with relevant accessory technique design S. Shi et al. https://doi.org/10.1016/j.envint.2020.106097
59. Emission-Based Machine Learning Approach for Large-Scale Estimates of Black Carbon in China Y. Li et al. https://doi.org/10.3390/rs16050837
60. Adaptation of the CIMEL-318T to shipborne use: 3 years of automated AERONET-compatible aerosol measurements on board the research vessel Marion Dufresne B. Torres et al. https://doi.org/10.5194/amt-18-4809-2025
61. Retrieving aerosols single scattering albedo from MODIS reflectances Q. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106381
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68. How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies A. Sayer https://doi.org/10.1029/2020EA001290
69. Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. https://doi.org/10.5194/amt-13-5207-2020
70. Optimal estimation retrieval for directional polarimetric camera onboard Chinese Gaofen-5 satellite: an analysis on multi-angle dependence and a posteriori error F. Zheng et al. https://doi.org/10.7498/aps.68.20181682
71. Combined neural network/Phillips–Tikhonov approach to aerosol retrievals over land from the NASA Research Scanning Polarimeter A. Di Noia et al. https://doi.org/10.5194/amt-10-4235-2017
72. 面向气溶胶垂直分布探测的高光谱偏振遥感信息量评估与通道优化研究（特邀） 陈. Chen Yuanlin et al. https://doi.org/10.3788/AOS260529
73. Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data V. Bovchaliuk et al. https://doi.org/10.5194/amt-9-3391-2016
74. Retrieval of aerosol properties from ground-based polarimetric sky-radiance measurements under cloudy conditions H. Grob et al. https://doi.org/10.1016/j.jqsrt.2019.02.025
75. Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat 8/OLI F. Yin et al. https://doi.org/10.5194/gmd-15-7933-2022
76. An algorithm for hyperspectral remote sensing of aerosols: 3. Application to the GEO-TASO data in KORUS-AQ field campaign W. Hou et al. https://doi.org/10.1016/j.jqsrt.2020.107161
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81. Synergy processing of diverse ground-based remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radiosonde observations A. Lopatin et al. https://doi.org/10.5194/amt-14-2575-2021
82. An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) B. Ge et al. https://doi.org/10.3390/rs14164045
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89. Comparative assessment of GRASP algorithm for a dust event over Granada (Spain) during ChArMEx-ADRIMED 2013 campaign J. Benavent-Oltra et al. https://doi.org/10.5194/amt-10-4439-2017
90. Impact of Vertical Profiles of Aerosols on the Photolysis Rates in the Lower Troposphere from the Synergy of Photometer and Ceilometer Measurements in Raciborz, Poland, for the Period 2015–2020 A. Pietruczuk et al. https://doi.org/10.3390/rs14051057
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95. Noise-free sensitivity test for lidar volume depolarization ratio and sun-photometer DoLP in GRASP code for a case study D. Oliveira et al. https://doi.org/10.1051/epjconf/202636210008
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108. The impact of uncertainty in black carbon's refractive index on simulated optical depth and radiative forcing R. Digby et al. https://doi.org/10.5194/acp-25-3109-2025
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110. Modeling radiative and climatic effects of brown carbon aerosols with the ARPEGE-Climat global climate model T. Drugé et al. https://doi.org/10.5194/acp-22-12167-2022
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125. A satellite-measured view of aerosol component content and optical property in a haze-polluted case over North China Plain L. Li et al. https://doi.org/10.1016/j.atmosres.2021.105958
126. Assessing remote polarimetric measurement sensitivities to aerosol emissions using the geos-chem adjoint model B. Meland et al. https://doi.org/10.5194/amt-6-3441-2013
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128. Using Rayleigh scattering over the ocean for satellite in-flight polarization calibration M. Zhu et al. https://doi.org/10.1364/OE.562308
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132. Aerosol properties over the ocean from PARASOL multiangle photopolarimetric measurements O. Hasekamp et al. https://doi.org/10.1029/2010JD015469
133. Rehearsal for Assessment of atmospheric optical Properties during biomass burning Events and Long-range transportation episodes at Metropolitan Area of São Paulo-Brazil (RAPEL) F. Lopes et al. https://doi.org/10.1051/epjconf/201817608011
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135. XCO2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements L. Wu et al. https://doi.org/10.5194/amt-13-713-2020
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