9 citations as recorded by crossref.

1. Machine learning for predicting low-visibility event dynamics: an ensemble approach A. Shankar & B. Sahana
2. Evaluating station, satellite, & combined data for XGBoost-based visibility forecast M. Schütz et al.
3. Statistical post‐processing of visibility ensemble forecasts S. Baran & M. Lakatos
4. Machine Learning for Fog-and-Low-Stratus Nowcasting from Meteosat SEVIRI Satellite Images D. Bari et al.
5. Machine learning analysis and nowcasting of marine fog visibility using FATIMA Grand Banks campaign measurements E. Gultepe et al.
6. A hybrid deep learning framework for image-based visibility and runway visual range estimation for aviation services A. Shankar & B. Chandra Sahana
7. Enhancing multivariate post‐processed visibility predictions utilizing Copernicus Atmosphere Monitoring Service forecasts M. Lakatos & S. Baran
8. FogFusionNet: Coastal Sea Fog Prediction by Using a Multimodal Deep Learning Approach D. Son et al.
9. Sea Fog Dissipation Prediction in Incheon Port and Haeundae Beach Using Machine Learning and Deep Learning J. Han et al.