17 citations as recorded by crossref.

1. A Physics-informed deep neural network for the joint prediction of 3D chlorophyll-a and hydrographic fields in the Mediterranean Sea M. Sammartino et al. https://doi.org/10.1016/j.envsoft.2025.106660
2. InWaveSR: Topography-aware super-resolution network for internal solitary waves X. Wang et al. https://doi.org/10.1016/j.ocemod.2026.102700
3. A lightweight intelligent compression method for fast Sea Level Anomaly data transmission X. Ma et al. https://doi.org/10.1371/journal.pone.0327220
4. Reconstructing High-Resolution Coastal Water Quality Data Based on a Deep Learning Multivariate Downscaling Approach X. Liu et al. https://doi.org/10.3390/rs18091346
5. A Sea Surface Temperature Prediction Method Based on Spatiotemporal Scale Fusion and Multi-Factor Correlation Mining J. Chang et al. https://doi.org/10.1109/ACCESS.2025.3633610
6. Research on High-Resolution Modeling of Satellite-Derived Marine Environmental Parameters Based on Adaptive Global Attention R. Cui et al. https://doi.org/10.3390/rs17040709
7. Detecting global ocean subsurface density change with high-resolution via dual-task densely-former H. Su et al. https://doi.org/10.1016/j.isprsjprs.2026.01.026
8. Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms D. Ciani et al. https://doi.org/10.5194/os-21-199-2025
9. Insights into transportation CO2 emissions with big data and artificial intelligence Z. Luo et al. https://doi.org/10.1016/j.patter.2025.101186
10. SGD-SST: Seamless global daily sea surface temperature products reconstruction and validation via deep spatio-temporal fusion model Q. Wang et al. https://doi.org/10.1016/j.eswa.2025.128703
11. CoastalBench-downscaling: a machine learning benchmark for reconstructing high-resolution three-dimensional coastal fields from surface data B. Yuan et al. https://doi.org/10.1016/j.oceaneng.2026.125851
12. A combined modeling and EOF approach to characterize the hydrodynamics of a semi-enclosed bay D. Bindoni et al. https://doi.org/10.1016/j.dynatmoce.2026.101691
13. Surface-driven AI reconstruction of global subsurface ocean temperature profiles from ERA5 forcing M. Cavaiola https://doi.org/10.1016/j.apor.2026.105121
14. Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change M. Ptak et al. https://doi.org/10.3390/forecast7020024
15. CRITER 1.0: a coarse reconstruction with iterative refinement network for sparse spatio-temporal satellite data M. Zupančič Muc et al. https://doi.org/10.5194/gmd-18-5549-2025
16. A ResNet-Based Super-Resolution Approach for Constructing a High-Resolution Temperature Dataset from ERA5 Reanalysis Z. Li et al. https://doi.org/10.3390/app15095013
17. Resilient Anomaly Detection in Ocean Drifters with Unsupervised Learning, Deep Learning Models, and Energy-Efficient Recovery C. Guo et al. https://doi.org/10.3390/oceans7010005