14 citations as recorded by crossref.

1. Aerosol optical depth trends and variability over the Middle East from MODIS, MISR, OMI, and AERONET observations N. Rezaei-Nokandeh et al. https://doi.org/10.1038/s41598-025-25895-4
2. Identification of typical dust sources in Tarim Basin based on multi-wavelength Raman polarization lidar H. Wang et al. https://doi.org/10.1016/j.atmosenv.2022.119358
3. A physics-based AI algorithm integrating radiative transfer and machine learning for joint retrieval of aerosol layer height and optical thickness from hyperspectral satellite observations over the ocean R. Yao et al. https://doi.org/10.1016/j.rse.2026.115379
4. T-matrix methods for electromagnetic structured beams: A commented reference database for the period 2019–2023 G. Gouesbet https://doi.org/10.1016/j.jqsrt.2024.109015
5. Deciphering aerosol impacts: Unravelling long-term AOD trends and radiative forcing across key regions G. Gupta et al. https://doi.org/10.1016/j.atmosenv.2025.121693
6. A Method to Account for the Impact of Water Vapor on Observation‐Based Estimates of the Clear‐Sky Shortwave Direct Radiative Effect of Mineral Dust A. Kuwano & A. Evan https://doi.org/10.1029/2022JD036620
7. Satellite-Based Identification of VOC-Driven HCHO Hotspots and Their Role in Ozone Pollution Formation in the Beijing–Tianjin–Hebei Region S. Dong et al. https://doi.org/10.3390/atmos17030321
8. Prediction of dust storms using MODIS images and a machine learning approach in the western provinces of Iran S. Arami et al. https://doi.org/10.1016/j.asr.2026.06.101
9. Columnar optical, microphysical and radiative properties of the 2022 Hunga Tonga volcanic ash plumes K. Gui et al. https://doi.org/10.1016/j.scib.2022.08.018
10. Accuracy assessment and climatology of MODIS aerosol optical properties over North Africa A. Merdji et al. https://doi.org/10.1007/s11356-022-22997-8
11. An analysis of air pollution associated with the 2023 sand and dust storms over China: Aerosol properties and PM10 variability M. Filonchyk et al. https://doi.org/10.1016/j.gsf.2023.101762
12. Evaluating and Enhancing Fengyun AGRI Cloud Detection with the Ensemble Learning Algorithm M. Xiao et al. https://doi.org/10.1007/s00376-024-4206-7
13. Characterization of Saharan and Middle Eastern dust aerosols and their associated shortwave direct radiative effects over Cyprus G. Charalampous et al. https://doi.org/10.5194/amt-19-5753-2026
14. A Physically Consistent Modeling Framework for Evaluating Dust Aerosol Direct Radiative Forcing on Cotton GPP and Yield in Arid Oases K. Li et al. https://doi.org/10.3390/su18147443