80 citations as recorded by crossref.

1. Aerosol radiative effects with MACv2 S. Kinne https://doi.org/10.5194/acp-19-10919-2019
2. A CloudSat Perspective on the Cloud Climatology and Its Association with Aerosol Perturbations in the Vertical over Eastern China T. Chen et al. https://doi.org/10.1175/JAS-D-15-0309.1
3. The contribution of the strength and structure of extratropical cyclones to observed cloud–aerosol relationships B. Grandey et al. https://doi.org/10.5194/acp-13-10689-2013
4. Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes? H. Jia et al. https://doi.org/10.5194/acp-19-8879-2019
5. Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability S. Ghan et al. https://doi.org/10.1073/pnas.1514036113
6. Aerosol indirect effect dictated by liquid clouds M. Christensen et al. https://doi.org/10.1002/2016JD025245
7. Anthropogenic emissions from South Asia reverses the aerosol indirect effect over the northern Indian Ocean S. Jose et al. https://doi.org/10.1038/s41598-020-74897-x
8. 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
9. A satellite perspective on cloud water to rain water conversion rates and relationships with environmental conditions A. Sorooshian et al. https://doi.org/10.1002/jgrd.50523
10. Negative Aerosol‐Cloud re Relationship From Aircraft Observations Over Hebei, China C. Zhao et al. https://doi.org/10.1002/2017EA000346
11. The global aerosol‐cloud first indirect effect estimated using MODIS, MERRA, and AeroCom D. McCoy et al. https://doi.org/10.1002/2016JD026141
12. Systematic satellite observations of the impact of aerosols from passive volcanic degassing on local cloud properties S. Ebmeier et al. https://doi.org/10.5194/acp-14-10601-2014
13. 8-Year ground-based observational analysis about the seasonal variation of the aerosol-cloud droplet effective radius relationship at SGP site Y. Qiu et al. https://doi.org/10.1016/j.atmosenv.2017.06.002
14. Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. https://doi.org/10.1038/s41467-018-05028-4
15. Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al. https://doi.org/10.1029/2022EA002706
16. Satellite observed aerosol-induced variability in warm cloud properties under different meteorological conditions over eastern China F. Wang et al. https://doi.org/10.1016/j.atmosenv.2013.11.018
17. Limitations of passive remote sensing to constrain global cloud condensation nuclei P. Stier https://doi.org/10.5194/acp-16-6595-2016
18. The scale problem in quantifying aerosol indirect effects A. McComiskey & G. Feingold https://doi.org/10.5194/acp-12-1031-2012
19. Impact of aerosols on warm clouds over the Sichuan Basin, China in winter based on the MERRA-2 reanalysis dataset S. Zhu et al. https://doi.org/10.1016/j.apr.2022.101342
20. Influence of aerosol optical depth on cloud droplet radius over South India, as observed by MODIS V. Valappil & D. Madhu https://doi.org/10.1007/s00703-026-01176-1
21. Relationship between aerosol and cloud fraction over Australia J. Small et al. https://doi.org/10.1029/2011GL049404
22. Aerosol effects on liquid cloud microphysical properties in south China: Land–ocean contrasts Y. Wang et al. https://doi.org/10.1016/j.apr.2023.102032
23. Estimates of aerosol radiative forcing from the MACC re-analysis N. Bellouin et al. https://doi.org/10.5194/acp-13-2045-2013
24. Satellite-Derived Aerosol–Cloud Relationships Under Anthropogenic Polluted Conditions of Arabian Sea C. Lima et al. https://doi.org/10.1109/TGRS.2021.3137089
25. Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas https://doi.org/10.1038/s41558-023-01775-5
26. Variations of aerosol and cloud vertical characteristics based on aircraft measurements in upstream of Shanghai during the 2020 China international import expo Y. Yu et al. https://doi.org/10.3389/fenvs.2022.1098611
27. Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. https://doi.org/10.5194/acp-20-1607-2020
28. Satellite-based estimate of the variability of warm cloud properties associated with aerosol and meteorological conditions Y. Liu et al. https://doi.org/10.5194/acp-18-18187-2018
29. Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. https://doi.org/10.1007/s00382-018-4384-z
30. Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. https://doi.org/10.5194/acp-24-4651-2024
31. An observational study of the effects of aerosols on diurnal variation of heavy rainfall and associated clouds over Beijing–Tianjin–Hebei S. Zhou et al. https://doi.org/10.5194/acp-20-5211-2020
32. Spatiotemporal characteristics of aerosols and low clouds from MODIS and their implications for marine cloud brightening L. Niu et al. https://doi.org/10.1007/s11430-025-1794-7
33. Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. https://doi.org/10.5194/acp-22-7353-2022
34. Global Estimates of Changes in Shortwave Low‐Cloud Albedo and Fluxes Due to Variations in Cloud Droplet Number Concentration Derived From CERES‐MODIS Satellite Sensors D. Painemal https://doi.org/10.1029/2018GL078880
35. Satellite observations of cloud regime development: the role of aerosol processes E. Gryspeerdt et al. https://doi.org/10.5194/acp-14-1141-2014
36. CHASER: An Innovative Satellite Mission Concept to Measure the Effects of Aerosols on Clouds and Climate N. Rennó et al. https://doi.org/10.1175/BAMS-D-11-00239.1
37. Analysis of aerosol effects on warm clouds over the Yangtze River Delta from multi-sensor satellite observations Y. Liu et al. https://doi.org/10.5194/acp-17-5623-2017
38. General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path J. Mülmenstädt et al. https://doi.org/10.5194/acp-24-7331-2024
39. Variability in the correlation between satellite-derived liquid cloud droplet effective radius and aerosol index over the northern Pacific Ocean S. Tan et al. https://doi.org/10.1080/16000889.2017.1391656
40. Investigating relationships between aerosol optical depth and cloud fraction using satellite, aerosol reanalysis and general circulation model data B. Grandey et al. https://doi.org/10.5194/acp-13-3177-2013
41. Opposite Aerosol Index‐Cloud Droplet Effective Radius Correlations Over Major Industrial Regions and Their Adjacent Oceans X. Ma et al. https://doi.org/10.1029/2018GL077562
42. Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. https://doi.org/10.5194/essd-16-443-2024
43. Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. https://doi.org/10.5194/acp-20-15079-2020
44. Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. https://doi.org/10.1029/2022RG000799
45. Aerosol impacts on warm-cloud microphysics and drizzle in a moderately polluted environment Y. Chen et al. https://doi.org/10.5194/acp-21-4487-2021
46. Valuing Air Quality in Indonesia Using Households’ Locational Choices J. Tan Soo https://doi.org/10.1007/s10640-017-0182-z
47. Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate M. Christensen et al. https://doi.org/10.5194/acp-17-13151-2017
48. Aerosol first indirect effect over narrow longitude regions of North Pacific and same-latitude lands J. Yang et al. https://doi.org/10.1016/j.atmosenv.2022.119081
49. Quantifying variations in shortwave aerosol–cloud–radiation interactions using local meteorology and cloud state constraints A. Douglas & T. L'Ecuyer https://doi.org/10.5194/acp-19-6251-2019
50. Optimal choice of proxy for cloud condensation nuclei reduces uncertainty in aerosol-cloud-climate forcing H. Jia et al. https://doi.org/10.1126/sciadv.aea4828
51. Dissipating the correlation smokescreen: causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic E. Fons et al. https://doi.org/10.1017/eds.2026.10049
52. Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data M. Lv et al. https://doi.org/10.1029/2017JD028102
53. Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods H. Jia et al. https://doi.org/10.1038/s41467-021-23888-1
54. Contrasting effects of land and marine aerosols on warm clouds in South China based on satellite observations S. Yang et al. https://doi.org/10.1016/j.atmosres.2025.108491
55. Known and unknown unknowns: uncertainty estimation in satellite remote sensing A. Povey & R. Grainger https://doi.org/10.5194/amt-8-4699-2015
56. Spatial Heterogeneity of Aerosol Effect on Liquid Cloud Microphysical Properties in the Warm Season Over Tibetan Plateau P. Zhao et al. https://doi.org/10.1029/2022JD037738
57. Interhemispheric Aerosol Radiative Forcing and Tropical Precipitation Shifts during the Late Twentieth Century R. Allen et al. https://doi.org/10.1175/JCLI-D-15-0148.1
58. Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties F. Bender et al. https://doi.org/10.16993/tellusb.1868
59. 基于MODIS观测的全球气溶胶与低云时空特征及其对<?A3B2 pi6?>海洋云增亮的启示 莉. 牛 et al. https://doi.org/10.1360/SSTe-2025-0229
60. Review of aircraft measurements over China: aerosol, atmospheric photochemistry, and cloud J. Quan & X. Jia https://doi.org/10.1016/j.atmosres.2020.104972
61. Multi-sensor quantification of aerosol-induced variability in warm clouds over eastern China F. Wang et al. https://doi.org/10.1016/j.atmosenv.2015.04.063
62. Cloud drop number concentrations over the western North Atlantic Ocean: seasonal cycle, aerosol interrelationships, and other influential factors H. Dadashazar et al. https://doi.org/10.5194/acp-21-10499-2021
63. Observational evidence of aerosol-warm cloud interaction over two urban locations in eastern India S. Kant et al. https://doi.org/10.1007/s11707-024-1124-z
64. Estimates of the aerosol indirect effect over the Baltic Sea region derived from 12 years of MODIS observations G. Saponaro et al. https://doi.org/10.5194/acp-17-3133-2017
65. Examining Intrinsic Aerosol‐Cloud Interactions in South Asia Through Multiple Satellite Observations Z. Pan et al. https://doi.org/10.1029/2017JD028232
66. Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data D. Neubauer et al. https://doi.org/10.5194/acp-17-13165-2017
67. Impact of Cloud Condensation Nuclei Reduction on Cloud Characteristics and Solar Radiation during COVID-19 Lockdown 2020 in Moscow J. Shuvalova et al. https://doi.org/10.3390/atmos13101710
68. Current status of aerosol-cloud interactions and their impact over the Northern Indian Ocean: A comprehensive review S. Tiwari et al. https://doi.org/10.1016/j.atmosres.2022.106555
69. An airborne study of the aerosol effect on the dispersion of cloud droplets in a drizzling marine stratocumulus cloud over eastern China F. Wang et al. https://doi.org/10.1016/j.atmosres.2021.105885
70. Aerosols enhance cloud lifetime and brightness along the stratus-to-cumulus transition M. Christensen et al. https://doi.org/10.1073/pnas.1921231117
71. The effects of aerosols on water cloud microphysics and macrophysics based on satellite-retrieved data over East Asia and the North Pacific T. Michibata et al. https://doi.org/10.5194/acp-14-11935-2014
72. Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations H. Andersen et al. https://doi.org/10.5194/acp-23-10775-2023
73. Evaluating clouds, aerosols, and their interactions in three global climate models using satellite simulators and observations G. Ban-Weiss et al. https://doi.org/10.1002/2014JD021722
74. Global observations of cloud‐sensitive aerosol loadings in low‐level marine clouds H. Andersen et al. https://doi.org/10.1002/2016JD025614
75. A review of aerosol-cloud interactions: Mechanisms, climate effects, and observation methods T. Li et al. https://doi.org/10.1016/j.atmosres.2025.108267
76. Contrasting influences of aerosols on cloud properties during deficient and abundant monsoon years N. Patil et al. https://doi.org/10.1038/srep44996
77. Stratocumulus adjustments to aerosol perturbations disentangled with a causal approach E. Fons et al. https://doi.org/10.1038/s41612-023-00452-w
78. Spatial-scale dependence of aerosol indirect effects over land in eastern China: a comparative analysis Y. Liu et al. https://doi.org/10.5194/acp-26-6351-2026
79. Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms N. Benas et al. https://doi.org/10.5194/acp-20-457-2020
80. Analysis of the cloud fraction adjustment to aerosols and its dependence on meteorological controls using explainable machine learning Y. Jia et al. https://doi.org/10.5194/acp-24-13025-2024