26 citations as recorded by crossref.

1. Identifying sky conditions in Iran from MODIS Terra and Aqua cloud products K. Hatami Bahmanbeiglou & S. Movahedi https://doi.org/10.1007/s11769-017-0908-4
2. Climatology and changes in cloud cover in the area of the Black, Caspian, and Aral seas (1991–2010): a comparison of surface observations with satellite and reanalysis products J. Calbó et al. https://doi.org/10.1002/joc.4435
3. Aerosol and monsoon climate interactions over Asia Z. Li et al. https://doi.org/10.1002/2015RG000500
4. Variability of Sunlight Duration in Tomsk in 1961–2018 T. Sklyadneva & B. Belan https://doi.org/10.1134/S1024856020030112
5. Observed trends in clouds and precipitation (1983–2009): implications for their cause(s) X. Zhong et al. https://doi.org/10.5194/acp-21-4899-2021
6. On the Nature of Caspian Clouds R. Shahnaz et al. https://doi.org/10.1007/s13351-023-2167-x
7. On the drivers of variability and trend of surface solar radiation in Beijing metropolitan area X. Zhang et al. https://doi.org/10.1002/joc.3994
8. Measurement Biases Explain Discrepancies between the Observed and Simulated Decadal Variability of Surface Incident Solar Radiation K. Wang https://doi.org/10.1038/srep06144
9. Climatic–Environmental Effects of Aerosols and Their Sensitivity to Aerosol Mixing States in East Asia in Winter Y. Gao et al. https://doi.org/10.3390/rs14153539
10. Physical mechanism of the rapid increase in intense and long-lived extreme heatwaves in the Northern Hemisphere since 1980 Y. Wang et al. https://doi.org/10.1007/s11430-023-1332-x
11. Anomalous high ozone in the Pearl River Delta, China in 2019: A cause attribution analysis Y. Wu et al. https://doi.org/10.1016/j.atmosenv.2023.120278
12. Discussion on climate oscillations: CMIP5 general circulation models versus a semi-empirical harmonic model based on astronomical cycles N. Scafetta https://doi.org/10.1016/j.earscirev.2013.08.008
13. Do aerosols impact ground observation of total cloud cover over the North China Plain? L. Sun et al. https://doi.org/10.1016/j.gloplacha.2014.03.009
14. Evaluating the potential of database technology for documenting environmental change in China's deserts L. Scuderi et al. https://doi.org/10.1016/j.catena.2014.12.025
15. Effects of the meteorological variability on regional air quality in East Asia J. Jeong & R. Park https://doi.org/10.1016/j.atmosenv.2012.11.061
16. Impact of diurnal variability and meteorological factors on the PM2.5 - AOD relationship: Implications for PM2.5 remote sensing J. Guo et al. https://doi.org/10.1016/j.envpol.2016.11.043
17. Prediction and comparison of solar radiation using improved empirical models and Adaptive Neuro-Fuzzy Inference Systems L. Zou et al. https://doi.org/10.1016/j.renene.2017.01.042
18. Atmospheric impacts on climatic variability of surface incident solar radiation K. Wang et al. https://doi.org/10.5194/acp-12-9581-2012
19. A 39-Yr Survey of Cloud Changes from Land Stations Worldwide 1971–2009: Long-Term Trends, Relation to Aerosols, and Expansion of the Tropical Belt R. Eastman & S. Warren https://doi.org/10.1175/JCLI-D-12-00280.1
20. Wintertime cooling and a potential connection with transported aerosols in Hong Kong during recent decades X. Yang et al. https://doi.org/10.1016/j.atmosres.2018.04.029
21. The two leading modes of winter clear-sky days over China and their formation mechanisms H. Yan et al. https://doi.org/10.1007/s00382-020-05470-5
22. A New Method to Estimate Cloud Cover Fraction over El Leoncito Observatory from an All-Sky Imager Designed for Upper Atmosphere Studies C. Martinis et al. https://doi.org/10.1086/669255
23. Dust aerosol drives upward trend of surface solar radiation during 1980–2009 in the Taklimakan Desert Y. Fei et al. https://doi.org/10.1002/asl2.500
24. The Impact of the Aerosol Direct Radiative Forcing on Deep Convection and Air Quality in the Pearl River Delta Region Z. Liu et al. https://doi.org/10.1029/2018GL077517
25. On the characteristics and long-term trend of total cloud cover in Iran S. Rashedi et al. https://doi.org/10.1007/s11600-024-01351-1
26. Earth observation big data for climate change research H. Guo et al. https://doi.org/10.1016/j.accre.2015.09.007