6 citations as recorded by crossref.

1. Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China R. Feng et al. https://doi.org/10.1016/j.envpol.2019.05.101
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3. Effect of Microstructure and Horizontal Inhomogeneity of Broken Cirrus Clouds on Mean Solar Radiative Fluxes in the Visible Wavelength Region: Results of Numerical Simulation T. Zhuravleva & I. Nasrtdinov https://doi.org/10.1134/S1024856021060294
4. Cirrus Horizontal Heterogeneity and 3‐D Radiative Effects on Cloud Optical Property Retrievals From MODIS Near to Thermal Infrared Channels as a Function of Spatial Resolution T. Fauchez et al. https://doi.org/10.1029/2018JD028726
5. Sensitivity of cirrus and contrail radiative effect on cloud microphysical and environmental parameters K. Wolf et al. https://doi.org/10.5194/acp-23-14003-2023
6. Recurrent Neural Network and random forest for analysis and accurate forecast of atmospheric pollutants: A case study in Hangzhou, China R. Feng et al. https://doi.org/10.1016/j.jclepro.2019.05.319