71 citations as recorded by crossref.

1. Overview of size distribution, concentration, and dry deposition of airborne particulate elements measured worldwide A. Mamun et al. https://doi.org/10.1139/er-2019-0035
2. Seasonal characteristics and key sources of trace element deposition fluxes in coastal Poland P. Bukowska https://doi.org/10.1038/s41598-025-32170-z
3. Quantifying particulate matter reduction and their deposition on the leaves of green infrastructure K. Abhijith & P. Kumar https://doi.org/10.1016/j.envpol.2020.114884
4. Estimation of Atmospheric Dry and Wet Deposition of Particulate Elements at Four Monitoring Sites in the Canadian Athabasca Oil Sands Region A. Mamun et al. https://doi.org/10.1029/2021JD035787
5. Parameterization schemes on dust deposition in northwest China: Model validation and implications for the global dust cycle X. Zhang et al. https://doi.org/10.1016/j.atmosenv.2019.04.017
6. Quantitative estimation of the PM2.5 removal capacity and influencing factors of urban green infrastructure K. Li et al. https://doi.org/10.1016/j.scitotenv.2023.161476
7. Improving the Representation of Whitecap Fraction and Sea Salt Aerosol Emissions in the ECMWF IFS-AER S. Rémy & M. Anguelova https://doi.org/10.3390/rs13234856
8. Removal of PM2.5 and secondary inorganic aerosols in the North China Plain by dry deposition J. Du et al. https://doi.org/10.1016/j.scitotenv.2018.10.024
9. The dust deposition model (DDM): An empirical model for monitoring dust deposition using meteorological data over the Isfahan province in central Iran M. Bagheri-Bodaghabadi & M. Jafari https://doi.org/10.1016/j.catena.2021.105952
10. On the application and grid-size sensitivity of the urban dispersion model CAIRDIO v2.0 under real city weather conditions M. Weger et al. https://doi.org/10.5194/gmd-15-3315-2022
11. Managing the supply-demand mismatches and potential flows of ecosystem services from the perspective of regional integration: A case study of Hangzhou, China Y. Lyu & C. Wu https://doi.org/10.1016/j.scitotenv.2023.165918
12. Air Pollution Affecting Pollen Concentrations through Radiative Feedback in the Atmosphere C. Skjøth et al. https://doi.org/10.3390/atmos12111376
13. Atmospheric deposition mapping of particulate elements in the Canadian Athabasca oil sands region A. Mamun et al. https://doi.org/10.1016/j.envpol.2023.121868
14. Observational constraints on the parameterization of particle dry deposition over bare cropland X. Dang et al. https://doi.org/10.1016/j.atmosenv.2024.120530
15. The Dry Deposition Effect of PM2.5 in Urban Green Spaces of Beijing, China H. Lei et al. https://doi.org/10.3390/su17219608
16. Responses of Microbial Communities in River to Atmospheric Deposition Q. Qu et al. https://doi.org/10.1021/acs.est.6c01648
17. Spatial distribution and factors determining the level of particulate matter over Lake Baikal M. Shikhovtsev et al. https://doi.org/10.1016/j.jglr.2026.102937
18. Atmospheric removal of PM 2.5 by man-made Three Northern Regions Shelter Forest in Northern China estimated using satellite retrieved PM 2.5 concentration X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2017.03.206
19. Passive sampling to capture the spatial variability of coarse particles by composition in Cleveland, OH E. Sawvel et al. https://doi.org/10.1016/j.atmosenv.2015.01.030
20. Characterization of particulate matter deposited on urban tree foliage: A landscape analysis approach L. Lin et al. https://doi.org/10.1016/j.atmosenv.2017.09.012
21. Air synthesis review: polycyclic aromatic compounds in the oil sands region T. Harner et al. https://doi.org/10.1139/er-2018-0039
22. Dry deposition of polycyclic aromatic compounds to various land covers in the Athabasca oil sands region L. Zhang et al. https://doi.org/10.1002/2015MS000473
23. Does magnification of SEM image influence quantification of particulate matters deposited on vegetation foliage L. Lin et al. https://doi.org/10.1016/j.micron.2018.08.003
24. Flux of fine and coarse particulates and metallic pollutants at a commercial site G. Fang et al. https://doi.org/10.1080/15275922.2017.1340369
25. A Method Estimating Dry Deposition for Assessment of Nitrogen Load on Forests in East Asia S. Ban et al. https://doi.org/10.1007/s11270-022-05874-5
26. Impacts of Large-Scale Land-Use Change on the Uptake of Polycyclic Aromatic Hydrocarbons in the Artificial Three Northern Regions Shelter Forest Across Northern China T. Huang et al. https://doi.org/10.1021/acs.est.6b04835
27. Sensitivity Analysis of the Surface Acoustic Wave Sensor towards Size-Distributed Particulate Matter J. Yang et al. https://doi.org/10.1155/2020/6665508
28. Bulk or modal parameterizations for below‐cloud scavenging of fine, coarse, and giant particles by both rain and snow X. Wang et al. https://doi.org/10.1002/2014MS000392
29. Long-term atmospheric inorganic nitrogen deposition in West African savanna over 16 year period (Lamto, Côte d’Ivoire) M. Ossohou et al. https://doi.org/10.1088/1748-9326/abd065
30. Size‐Resolved Dry Deposition Velocities of Dust Particles: In Situ Measurements and Parameterizations Testing G. Bergametti et al. https://doi.org/10.1029/2018JD028964
31. A trait-based investigation into evergreen woody plants for traffic-related air pollution mitigation over time Y. Barwise et al. https://doi.org/10.1016/j.scitotenv.2023.169713
32. Assessing particle dry deposition in an urban environment by using dispersion models D. de Ferreyro Monticelli et al. https://doi.org/10.1016/j.apr.2019.07.010
33. Ambient air particulates and Hg(p) concentrations and dry depositions estimations, distributions for various particles sizes ranges G. Fang et al. https://doi.org/10.1080/10934529.2021.1918976
34. WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes Y. Zeng et al. https://doi.org/10.5194/gmd-13-2125-2020
35. Non-monotonic response of net dust deposition kinetics to low wind speeds R. Jia et al. https://doi.org/10.5194/acp-26-14245-2026
36. The Estimated Six-Year Mercury Dry Deposition Across North America L. Zhang et al. https://doi.org/10.1021/acs.est.6b04276
37. Evaluation of five dry particle deposition parameterizations for incorporation into atmospheric transport models T. Khan & J. Perlinger https://doi.org/10.5194/gmd-10-3861-2017
38. Elevated methylmercury in Arctic rain and aerosol linked to air-sea exchange of dimethylmercury Y. He et al. https://doi.org/10.1126/sciadv.adr3805
39. Understanding ambient and settled dust in communities near intensive resource development to improve monitoring and mitigation K. Iorio et al. https://doi.org/10.1016/j.apr.2026.103187
40. Dry deposition velocities of particles on grass: Field experimental data and comparison with models O. Connan et al. https://doi.org/10.1016/j.jaerosci.2018.08.004
41. Contributions of the oil sands sources to the ambient concentrations and deposition of particulate elements in the Canadian Athabasca oil sands region F. Yang et al. https://doi.org/10.1016/j.scitotenv.2023.165519
42. A database of modeled gridded dry deposition velocities for 45 gaseous species and three particle size ranges across North America L. Zhang et al. https://doi.org/10.1016/j.jes.2022.05.030
43. Revisiting particle dry deposition and its role in radiative effect estimates E. Emerson et al. https://doi.org/10.1073/pnas.2014761117
44. Contribution of emissions from the oil sands activities in Alberta, Canada to atmospheric concentration and deposition of nitrogen and sulfur species at a downwind site Y. You et al. https://doi.org/10.1016/j.envpol.2024.124301
45. An enhanced approach for the use of satellite-derived leaf area index values in dry deposition modeling in the Athabasca oil sands region M. Davies et al. https://doi.org/10.1016/j.jenvman.2016.09.045
46. Ice-nucleating particle concentrations of the past: insights from a 600-year-old Greenland ice core J. Schrod et al. https://doi.org/10.5194/acp-20-12459-2020
47. Vertical variations and source identification of PM2.5 and PM10–2.5–bound elements around a high–rise building in urban Bangkok, Thailand S. Intrakun et al. https://doi.org/10.1016/j.uclim.2026.103068
48. Description and evaluation of the tropospheric aerosol scheme in the Integrated Forecasting System (IFS-AER, cycle 47R1) of ECMWF S. Rémy et al. https://doi.org/10.5194/gmd-15-4881-2022
49. Improving Wet and Dry Deposition of Aerosols in WRF‐Chem: Updates to Below‐Cloud Scavenging and Coarse‐Particle Dry Deposition Y. Ryu & S. Min https://doi.org/10.1029/2021MS002792
50. Development of WRF/CUACE v1.0 model and its preliminary application in simulating air quality in China L. Zhang et al. https://doi.org/10.5194/gmd-14-703-2021
51. Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale D. Schwede et al. https://doi.org/10.1016/j.envpol.2018.09.084
52. Eight-year dry deposition of atmospheric mercury to a tropical high mountain background site downwind of the East Asian continent L. Phu Nguyen et al. https://doi.org/10.1016/j.envpol.2019.113128
53. Characteristics of airborne particles retained on conifer needles across China in winter and preliminary evaluation of the capacity of trees in haze mitigation Z. Cao et al. https://doi.org/10.1016/j.scitotenv.2021.150704
54. Effects of urban land expansion on the regional meteorology and air quality of eastern China W. Tao et al. https://doi.org/10.5194/acp-15-8597-2015
55. Validation of aerosol chemical composition and optical properties provided by Copernicus Atmosphere Monitoring Service (CAMS) using ground-based global data A. Amarillo et al. https://doi.org/10.1016/j.atmosenv.2024.120683
56. Variability of aerosol particle concentrations from tyre and brake wear emissions in an urban area M. Samland et al. https://doi.org/10.1016/j.aeaoa.2024.100304
57. Deposition velocity concept does not apply to fluxes of ambient aerosol R. Kouznetsov et al. https://doi.org/10.5194/gmd-19-1833-2026
58. Development of a semi-mechanistic allergenic pollen emission model T. Cai et al. https://doi.org/10.1016/j.scitotenv.2018.10.243
59. Ambient Atmospheric Deposition of Anthropogenic Microfibers and Microplastics on the Western Periphery of Europe (Ireland) B. Roblin et al. https://doi.org/10.1021/acs.est.0c04000
60. Atmospheric mercury deposition over the land surfaces and the associated uncertainties in observations and simulations: a critical review L. Zhang et al. https://doi.org/10.5194/acp-19-15587-2019
61. Windblown dust in the Tarim basin, Northwest China X. Zhang et al. https://doi.org/10.1038/s41598-025-95974-z
62. A review of measurements of air-surface exchange of reactive nitrogen in natural ecosystems across North America J. Walker et al. https://doi.org/10.1016/j.scitotenv.2019.133975
63. Aerosol particle dry deposition velocity above natural surfaces: Quantification according to the particles diameter G. Pellerin et al. https://doi.org/10.1016/j.jaerosci.2017.09.004
64. A Review of Dry Deposition Schemes for Speciated Atmospheric Mercury L. Zhang et al. https://doi.org/10.1007/s00128-022-03641-0
65. Long-term declines in atmospheric nitrogen and sulfur deposition reduce critical loads exceedances at multiple Canadian rural sites, 2000–2018 I. Cheng et al. https://doi.org/10.5194/acp-22-14631-2022
66. A new index to assess the air quality impact of urban tree plantation S. Datta et al. https://doi.org/10.1016/j.uclim.2021.100995
67. Simulation and spatiotemporal dynamic analysis of air-mediated ecosystem service flows: A case study of Guanzhong Plain urban agglomeration Y. Wang et al. https://doi.org/10.1016/j.ecolind.2025.113892
68. Vegetation-related dry deposition of global PM2.5 from satellite observations H. Feng et al. https://doi.org/10.1007/s11442-022-1962-0
69. Unexpectedly high PCDD/F loadings on coarse particle in municipal solid waste incineration flue gas R. Cao et al. https://doi.org/10.1016/j.jhazmat.2026.141654
70. Modeling nitrogen deposition with an ultra-fine mesh: application in farmland with dense river network Z. Ling et al. https://doi.org/10.1039/D6EM00304D
71. Modeling Spatiotemporal Dynamics and Driving Mechanisms of Ecosystem Services Bundles in Resource-Based Cities: Supply–Demand Mismatch in Xingtai, China R. Wang et al. https://doi.org/10.3390/land14112270