127 citations as recorded by crossref.

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2. Characterization of the major aerosol species over Egypt based on 10 years of CAMS reanalysis data M. Elshora & E. Fayez https://doi.org/10.1016/j.apr.2024.102094
3. Asian dust impacts on heterogeneous ice formation at Wuhan based on polarization lidar measurements Z. Yin et al. https://doi.org/10.1016/j.atmosenv.2020.118166
4. The Lower Atmospheric Characteristics of Dust Storms Using Ground-Based Sensor Data: A Comparative Analysis of Two Cases in Jinan, China T. Li et al. https://doi.org/10.3390/atmos15030282
5. Insight into global trends in aerosol composition from 2005 to 2015 inferred from the OMI Ultraviolet Aerosol Index M. Hammer et al. https://doi.org/10.5194/acp-18-8097-2018
6. Using composite fingerprints to quantify the potential dust source contributions in northwest China H. Luo et al. https://doi.org/10.1016/j.scitotenv.2020.140560
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8. Measurement of scattering and absorption properties of dust aerosol in a Gobi farmland region of northwestern China – a potential anthropogenic influence J. Bi et al. https://doi.org/10.5194/acp-17-7775-2017
9. Fallowed agricultural lands dominate anthropogenic dust sources in California A. Adebiyi et al. https://doi.org/10.1038/s43247-025-02306-0
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21. Variations in airborne bacterial communities at high altitudes over the Noto Peninsula (Japan) in response to Asian dust events T. Maki et al. https://doi.org/10.5194/acp-17-11877-2017
22. Relative effect of anthropogenic warming and natural climate variability to changes in Compound drought and heatwaves S. Mukherjee et al. https://doi.org/10.1016/j.jhydrol.2021.127396
23. Long-Range Transport of Airborne Bacteria by Westerly Winds: Asian Dust Events Carry Potential Mycobacterium Populations Causing Nontuberculous Mycobacterial Pulmonary Disease T. Maki et al. https://doi.org/10.2139/ssrn.4114264
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26. Seasonal estimates of the impacts of aerosol and dust pollution on orographic precipitation in the Colorado River Basin V. Jha et al. https://doi.org/10.1080/02723646.2020.1792602
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28. Water vapor and nano-sized coal dust interactions: Experimental insights and numerical modeling S. Azam et al. https://doi.org/10.1016/j.ijheatmasstransfer.2025.127600
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31. Spatial and temporal evolution of natural and anthropogenic dust events over northern China X. Wang et al. https://doi.org/10.1038/s41598-018-20382-5
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33. Influence of Dynamic and Thermal Forcing on the Meridional Transport of Taklimakan Desert Dust in Spring and Summer T. Yuan et al. https://doi.org/10.1175/JCLI-D-18-0361.1
34. Fugitive Road Dust PM2.5 Emissions and Their Potential Health Impacts S. Chen et al. https://doi.org/10.1021/acs.est.9b00666
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36. The relationship between anthropogenic dust and population over global semi-arid regions X. Guan et al. https://doi.org/10.5194/acp-16-5159-2016
37. Characterization of Atmospheric Deposition as the Only Mineral Matter Input to Ombrotrophic Bog V. Pezdir et al. https://doi.org/10.3390/min12080982
38. Automated detection of cloud and aerosol features with SACOL micro-pulse lidar in northwest China H. Xie et al. https://doi.org/10.1364/OE.25.030732
39. Comparison and evaluation of the simulated annual aerosol characteristics over China with two global aerosol models Y. Cheng et al. https://doi.org/10.1016/j.scitotenv.2020.143003
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44. Progress in Semi-arid Climate Change Studies in China J. Huang et al. https://doi.org/10.1007/s00376-018-8200-9
45. Three‐Year Continuous Observation of Pure and Polluted Dust Aerosols Over Northwest China Using the Ground‐Based Lidar and Sun Photometer Data Z. Zhang et al. https://doi.org/10.1029/2018JD028957
46. Using machine learning for air quality prediction and sustainable urban planning M. Mujtaba et al. https://doi.org/10.1016/j.sftr.2025.100981
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48. An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data B. Chen et al. https://doi.org/10.1016/j.atmosenv.2021.118827
49. East Asian dust storm in March 2021: Perspective views from ground observation, satellite measurement and numerical simulation Y. Xue et al. https://doi.org/10.1016/j.atmosenv.2025.121152
50. Measurement Report: Determination of aerosol vertical features on different timescales over East Asia based on CATS aerosol products Y. Cheng et al. https://doi.org/10.5194/acp-20-15307-2020
51. Optical and microphysical properties of natural mineral dust and anthropogenic soil dust near dust source regions over northwestern China X. Wang et al. https://doi.org/10.5194/acp-18-2119-2018
52. Dust-wind interactions can intensify aerosol pollution over eastern China Y. Yang et al. https://doi.org/10.1038/ncomms15333
53. The autumn haze-fog episode enhanced by the transport of dust aerosols in the Tianjin area L. Zhao et al. https://doi.org/10.1016/j.atmosenv.2020.117669
54. Detection and quantification of water-based aerosols using active open-path FTIR O. Kira et al. https://doi.org/10.1038/srep25110
55. Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing P. Tian et al. https://doi.org/10.5194/acp-17-2509-2017
56. Next-generation remote sensing and prediction of sand and dust storms: State-of-the-art and future trends P. Jiao et al. https://doi.org/10.1080/01431161.2021.1912433
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58. Effects of biomass burning on chlorophyll-a concentration and particulate organic carbon in the subarctic North Pacific Ocean based on satellite observations and WRF-Chem model simulations: A case study W. Wang et al. https://doi.org/10.1016/j.atmosres.2021.105526
59. Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset E. Marinou et al. https://doi.org/10.5194/acp-17-5893-2017
60. Quantifying the contribution of dust sources in the arid area of northwest China using multivariate statistical techniques and Bayesian mixing models H. Luo et al. https://doi.org/10.1016/j.jclepro.2022.134672
61. Synergistic effect of water-soluble species and relative humidity on morphological changes in aerosol particles in the Beijing megacity during severe pollution episodes X. Pan et al. https://doi.org/10.5194/acp-19-219-2019
62. The Regional Impact of Ecological Restoration in the Arid Steppe on Dust Reduction over the Metropolitan Area in Northeastern China C. Zhou et al. https://doi.org/10.1021/acs.est.0c00017
63. Dust storm detection for ground-based stations with imbalanced machine learning S. Du et al. https://doi.org/10.1016/j.envsoft.2025.106420
64. Seasonal characteristics of aerosol vertical structure and autumn enhancement of non-spherical particle over the semi-arid region of northwest China T. Zhou et al. https://doi.org/10.1016/j.atmosenv.2020.117912
65. Revealing the dust transport processes of the 2021 mega dust storm event in northern China P. Liang et al. https://doi.org/10.1016/j.scib.2021.08.014
66. Comparisons of the vertical distributions of aerosols in the CALIPSO and GEOS-Chem datasets in China S. Li et al. https://doi.org/10.1016/j.aeaoa.2019.100036
67. Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe A. Moustaka et al. https://doi.org/10.3390/rs16101689
68. Inconsistent aerosol indirect effects on water clouds and ice clouds over the Tibetan Plateau S. Hua et al. https://doi.org/10.1002/joc.6430
69. Impact of Arctic amplification on declining spring dust events in East Asia J. Liu et al. https://doi.org/10.1007/s00382-019-05094-4
70. North African mineral dust sources: new insights from a combined analysis based on 3D dust aerosol distributions, surface winds and ancillary soil parameters S. Vandenbussche et al. https://doi.org/10.5194/acp-20-15127-2020
71. The Impact of a Severe Drought on Dust Lifting in California’s Owens Lake Area C. Borlina & N. Rennó https://doi.org/10.1038/s41598-017-01829-7
72. Applying a dust index over North China and evaluating the contribution of potential factors to its distribution D. Wu et al. https://doi.org/10.1016/j.atmosres.2021.105515
73. Drivers to dust emissions over dust belt from 1980 to 2018 and their variation in two global warming phases L. Shi et al. https://doi.org/10.1016/j.scitotenv.2020.144860
74. Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting T. Wang et al. https://doi.org/10.3390/rs13061099
75. The application of a multi-channel sensor network to decompose the local and background sources and quantify their contributions X. Qin et al. https://doi.org/10.1016/j.buildenv.2023.110005
76. Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
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78. Measurement report: Dust and anthropogenic aerosols' vertical distributions over northern China dense aerosols gathered at the top of the mixing layer Z. Wang et al. https://doi.org/10.5194/acp-23-14271-2023
79. Variation in global chemical composition of PM2.5: emerging results from SPARTAN G. Snider et al. https://doi.org/10.5194/acp-16-9629-2016
80. Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey X. Wang et al. https://doi.org/10.5194/acp-17-2279-2017
81. Long-range transport of airborne bacteria over East Asia: Asian dust events carry potentially nontuberculous Mycobacterium populations T. Maki et al. https://doi.org/10.1016/j.envint.2022.107471
82. Aerosol data assimilation in the MOCAGE chemical transport model during the TRAQA/ChArMEx campaign: lidar observations L. El Amraoui et al. https://doi.org/10.5194/amt-13-4645-2020
83. Combining CALIPSO and AERONET Data to Classify Aerosols Globally Y. Lin et al. https://doi.org/10.1109/TGRS.2021.3138085
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