8 citations as recorded by crossref.

1. Enhanced Seafloor Topography Inversion Using an Attention Channel 1D Convolutional Network Based on Multiparameter Gravity Data: Case Study of the Mariana Trench Q. Wang et al. 10.3390/jmse13030507
2. Nonlinear black-box approaches and data fusion for ocean bathymetry modeling in south Iran M. Mohammad et al. 10.1186/s40562-025-00426-1
3. Satellite-Derived Bathymetry Using Sentinel-2 and Airborne Hyperspectral Data: A Deep Learning Approach with Adaptive Interpolation S. Lee et al. 10.3390/rs17152594
4. Enhanced Bathymetric Inversion for Tectonic Features via Multi-Gravity-Component DenseNet: A Case Study of Rift Identification in the South China Sea H. Zhang et al. 10.3390/rs17203453
5. Trans-UNet Network for Predicting Bathymetry in South China Sea From Gravity and Geological Data S. Zhou et al. 10.1109/JSTARS.2025.3579250
6. Recovering Bathymetry Using BP Neural Network Combined with Modified Gravity–Geologic Method: A Case Study in the South China Sea X. Chen et al. 10.3390/rs16214023
7. Techniques and methods for seafloor topography mapping: past, present, and future Y. Liu et al. 10.1007/s44295-025-00057-4
8. SDUST2023BCO: a global seafloor model determined from a multi-layer perceptron neural network using multi-source differential marine geodetic data S. Zhou et al. 10.5194/essd-17-165-2025