39 citations as recorded by crossref.

1. Atmospheric microplastic deposition in a coastal city of India: The influence of a landfill source on monsoon winds M. Kannankai & S. Devipriya https://doi.org/10.1016/j.scitotenv.2023.168235
2. Contrasting roles of clouds as a sink and source of aerosols: A quantitative assessment using WRF-Chem over East Asia Y. Ryu et al. https://doi.org/10.1016/j.atmosenv.2022.119073
3. Impacts of long-range transports from Central and South Asia on winter surface PM2.5 concentrations in China J. Mo et al. https://doi.org/10.1016/j.scitotenv.2021.146243
4. Refractory black carbon aerosols in rainwater in the summer of 2019 in Beijing: Mass concentration, size distribution and wet scavenging ratio S. Lei et al. https://doi.org/10.1016/j.jes.2022.07.039
5. Unexpected high contribution of in-cloud wet scavenging to nitrogen deposition induced by pumping effect of typhoon landfall in China Q. Tan et al. https://doi.org/10.1088/2515-7620/acb90b
6. Clean Production of Biofuel from Waste Cooking Oil to Reduce Emissions, Fuel Cost, and Respiratory Disease Hospitalizations J. Santana et al. https://doi.org/10.3390/su13169185
7. Application of neural network to simulate the behavior of hospitalizations and their costs under the effects of various polluting gases in the city of São Paulo A. Miranda et al. https://doi.org/10.1007/s11869-021-01077-9
8. The variation in the particle number size distribution during the rainfall: wet scavenging and air mass changing G. Niu et al. https://doi.org/10.5194/acp-23-7521-2023
9. Parameterization of below-cloud scavenging for polydisperse fine mode aerosols as a function of rain intensity C. Jung et al. https://doi.org/10.1016/j.jes.2022.07.031
10. Variability of PM10 level with gaseous pollutants and meteorological parameters during episodic haze event in Malaysia: Domestic or solely transboundary factor? N. Addiena A Rahim et al. https://doi.org/10.1016/j.heliyon.2023.e17472
11. A Study on the Wet Scavenging Characteristics of Atmospheric Aerosol in the Korean Peninsula Using NAMIS (National Ambient Air Quality Monitoring Information System) Data and Its Application to Air Quality Modeling System D. Park et al. https://doi.org/10.5572/KOSAE.2023.39.4.437
12. Atmospheric aerosol spatial variability: Impacts on air quality and climate change S. Manavi et al. https://doi.org/10.1016/j.oneear.2025.101237
13. Inter-annual variations of wet deposition in Beijing from 2014–2017: implications of below-cloud scavenging of inorganic aerosols B. Ge et al. https://doi.org/10.5194/acp-21-9441-2021
14. Impacts of artificial cloud seeding on surface PM2.5 and PM10 scavenging in the Yangtze River Delta J. Sun et al. https://doi.org/10.1016/j.jes.2026.01.043
15. Assessing potential indicators of aerosol wet scavenging during long-range transport M. Hilario et al. https://doi.org/10.5194/amt-17-37-2024
16. Aerosol Populations, Processes, and Ages in Bulk Deposition: Insights From a 9‐Year Study of 7Be, 210Pb, Sulfate, and Major/Trace Elements J. Landis et al. https://doi.org/10.1029/2021JD035612
17. New Insights Into Scavenging Effect of Aerosol Species During Summer Rainfall Process in Beijing Y. Li et al. https://doi.org/10.1029/2023JD038642
18. Development of the Global to Mesoscale Air Quality Forecast and Analysis System (GMAF) and Its Application to PM2.5 Forecast in Korea S. Cho et al. https://doi.org/10.3390/atmos12030411
19. Influence of meteorological conditions on atmospheric microplastic transport and deposition Y. Liu et al. https://doi.org/10.1016/j.envres.2024.120460
20. Classifying and quantifying decadal changes in wet deposition over Southeast and East Asia using EANET, OMI, and GPCP S. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107400
21. 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
22. Empirical estimation of size-resolved scavenging coefficients derived from in-situ measurements at background sites in Korea during 2013–2020 Y. Choi et al. https://doi.org/10.1016/j.atmosres.2023.106971
23. Influence of rainfall and non-rainfall factors on the estimation of below-cloud scavenging coefficient across different particle modes in the subtropical urban atmosphere of South China L. Xiao et al. https://doi.org/10.1016/j.atmosenv.2025.121395
24. Influence of precipitation on the daily beryllium-7 (7Be) activity concentration in the atmospheric surface layer D. Kremenchutskii https://doi.org/10.1016/j.jenvrad.2021.106722
25. Coupled modeling of in- and below-cloud wet deposition for atmospheric 137Cs transport following the Fukushima Daiichi accident using WRF-Chem: A self-consistent evaluation of 25 scheme combinations S. Fang et al. https://doi.org/10.1016/j.envint.2021.106882
26. Atmospheric phosphorus wet deposition and removal in the Southeastern Tibetan Plateau X. Diao et al. https://doi.org/10.1016/j.atmosres.2026.108908
27. Below-cloud scavenging of aerosol by rain: a review of numerical modelling approaches and sensitivity simulations with mineral dust in the Met Office's Unified Model A. Jones et al. https://doi.org/10.5194/acp-22-11381-2022
28. Intra-event evolution of elemental and ionic concentrations in wet deposition in an urban environment T. Audoux et al. https://doi.org/10.5194/acp-23-13485-2023
29. Microbial interactions and potential ecological implications in rain and snow: Novel insights from a semi-humid city in Northwest China G. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.107953
30. Below-cloud scavenging of fine and coarse particulate matters in Seoul and its change with rainfall types S. Hong et al. https://doi.org/10.1016/j.apr.2026.102902
31. Precipitation trend increases the contribution of dry reduced nitrogen deposition W. Chen et al. https://doi.org/10.1038/s41612-023-00390-7
32. Model behavior regarding in- and below-cloud 137Cs wet scavenging following the Fukushima accident using 1-km-resolution meteorological field data S. Zhuang et al. https://doi.org/10.1016/j.scitotenv.2023.162165
33. A neuro-fuzzy model to predict respiratory disease hospitalizations arising from the effects of traffic-related air pollution in São Paulo J. Santana et al. https://doi.org/10.1007/s10098-024-02877-0
34. Model Inter-Comparison Study for Asia (MICS-Asia) phase III: multimodel comparison of reactive nitrogen deposition over China B. Ge et al. https://doi.org/10.5194/acp-20-10587-2020
35. Consecutive wet deposition of nitrogen along half of China's coastal cities induced by Super Typhoon Muifa (2022) with multiple landfalls Y. Zhang et al. https://doi.org/10.1016/j.jes.2024.11.004
36. Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. https://doi.org/10.1029/2023JD039487
37. Sources of ammonium in seasonal wet deposition at a coastal New England city E. Le Roy et al. https://doi.org/10.1016/j.atmosenv.2021.118557
38. The atmospheric microplastics deposition contributes to microplastic pollution in urban waters J. Sun et al. https://doi.org/10.1016/j.watres.2022.119116
39. Long-term retrieval and analysis of aerosol components and optical properties in Tianjin, China: Insights from GRASP/component approach and sun-photometer observations (2014–2024) X. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108695