34 citations as recorded by crossref.

1. Stochastic stability of aerosols-stimulated rainfall model A. Misra & A. Tripathi https://doi.org/10.1016/j.physa.2019.121337
2. Substantial contribution of anthropogenic air pollution to catastrophic floods in Southwest China J. Fan et al. https://doi.org/10.1002/2015GL064479
3. Role of updraft velocity in temporal variability of global cloud hydrometeor number S. Sullivan et al. https://doi.org/10.1073/pnas.1514039113
4. Altering rainfall patterns through aerosol dispersion M. Emetere et al. https://doi.org/10.1088/1742-6596/852/1/012008
5. Simulation of the responses of rainstorm in the Yangtze River Middle Reaches to changes in anthropogenic aerosol emissions Y. Bai et al. https://doi.org/10.1016/j.atmosenv.2019.117081
6. Impacts of open biomass burning in Southeast Asia on atmospheric PM2.5 concentrations over south China from 2009 to 2018 J. Li et al. https://doi.org/10.1016/j.atmosenv.2024.120491
7. Generating Hourly Fine Seamless Aerosol Optical Depth Products by Fusing Multiple Satellite and Numerical Model Data B. Zou et al. https://doi.org/10.1109/TGRS.2024.3385397
8. Dynamic Feedback of Aerosol Effects on the East Asian Summer Monsoon J. Chen et al. https://doi.org/10.1175/JCLI-D-15-0758.1
9. Recent decrease in inner‐core rain rate of tropical cyclones over the western North Pacific N. Wei et al. https://doi.org/10.1002/asl.1125
10. Investigating Southeast Asian biomass burning by the WRF-CMAQ two-way coupled model: Emission and direct aerosol radiative effects Y. Huang et al. https://doi.org/10.1016/j.atmosenv.2022.119521
11. Direct and indirect effects and feedbacks of biomass burning aerosols over Mainland Southeast Asia and South China in springtime J. Li et al. https://doi.org/10.1016/j.scitotenv.2022.156949
12. The Effects of Tropical Vegetation on Rainfall D. Spracklen et al. https://doi.org/10.1146/annurev-environ-102017-030136
13. Impacts of radiative effect of pre-monsoon biomass burning aerosols on atmospheric circulation and rainfall over Southeast Asia and southern China S. Yang et al. https://doi.org/10.1007/s00382-021-06135-7
14. Biomass burning in critical fire region over the Maritime Continent from 2012 to 2021: A review of the meteorological influence and cloud-aerosol-radiation interactions J. Chang et al. https://doi.org/10.1016/j.atmosenv.2023.120324
15. Indian monsoon and the elevated‐heat‐pump mechanism in a coupled aerosol‐climate model M. D'Errico et al. https://doi.org/10.1002/2015JD023346
16. Effects of Spring Biomass Burning in the Indochina Peninsula on May Precipitation in South China Q. Mao et al. https://doi.org/10.4236/jwarp.2023.155011
17. An interdecadal change in the relationship between summer Arctic Oscillation and surface air temperature over the eastern Tibetan Plateau around the late 1990s Z. Deng et al. https://doi.org/10.1007/s00382-023-06899-0
18. Three-dimensional spatiotemporal evolution of wildfire-induced smoke aerosols: A case study from Liangshan, Southwest China X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2020.144586
19. Mechanisms Contributing to Suppressed Precipitation in Mt. Hua of Central China. Part I: Mountain Valley Circulation Y. Yang et al. https://doi.org/10.1175/JAS-D-15-0233.1
20. Ambient black carbon particulate matter in the coal region of Dhanbad, India S. Singh et al. https://doi.org/10.1016/j.scitotenv.2017.09.307
21. Estimation of aerosol radiative effects on terrestrial gross primary productivity and water use efficiency using process-based model and satellite data Z. Zhang et al. https://doi.org/10.1016/j.atmosres.2020.105245
22. A review of biomass burning: Emissions and impacts on air quality, health and climate in China J. Chen et al. https://doi.org/10.1016/j.scitotenv.2016.11.025
23. A stochastic model for making artificial rain using aerosols A. Misra & A. Tripathi https://doi.org/10.1016/j.physa.2018.04.054
24. Air pollution from biomass burning in India S. Tripathi et al. https://doi.org/10.1088/1748-9326/ad4a90
25. Numerical analysis of aerosol direct and indirect effects on an extreme rainfall event over Beijing in July 2016 Y. Zhang et al. https://doi.org/10.1016/j.atmosres.2021.105871
26. An accurate and efficient forecast framework for fine PM2.5 maps using spatiotemporal recurrent neural networks N. Liu et al. https://doi.org/10.1016/j.jclepro.2024.143624
27. Instant and delayed effects of March biomass burning aerosols over the Indochina Peninsula A. Zhu et al. https://doi.org/10.5194/acp-22-15425-2022
28. Direct/indirect effects of aerosols and their separate contributions to Typhoon Lupit (2009): Eyewall versus peripheral rainbands Z. Liang et al. https://doi.org/10.1007/s11430-020-9816-7
29. Impact of regional climate patterns on the biomass burning emissions and transport over Peninsular Southeast Asia, 2000-2019 H. Huang et al. https://doi.org/10.1016/j.atmosres.2023.107067
30. Aerosol–Cloud Interactions over the Indian Subcontinent Using an Information-Theoretic Approach S. Budakoti et al. https://doi.org/10.34133/olar.0116
31. Radiative and microphysical responses of clouds to an anomalous increase in fire particles over the Maritime Continent in 2015 A. Takeishi & C. Wang https://doi.org/10.5194/acp-22-4129-2022
32. Circulation responses to regional aerosol climate forcing in summer over East Asia G. Chen et al. https://doi.org/10.1007/s00382-018-4267-3
33. Interactions between biomass-burning aerosols and clouds over Southeast Asia: Current status, challenges, and perspectives N. Lin et al. https://doi.org/10.1016/j.envpol.2014.06.036
34. Aerosol-cloud-precipitation interaction during some convective events over southwestern Iran using the WRF model P. Masrour & M. Rezazadeh https://doi.org/10.1016/j.apr.2023.101667