6 citations as recorded by crossref.

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2. Physical properties and in situ geoacoustic properties of seafloor surface sediments in the East China Sea J. Wang et al. 10.3389/fmars.2023.1195651
3. Machine-learning models to predict P- and S-wave velocity profiles for Japan as an example J. Kim et al. 10.3389/feart.2023.1267386
4. Estimating Compressional Velocity and Bulk Density Logs in Marine Gas Hydrates Using Machine Learning F. Naim et al. 10.3390/en16237709
5. Improved prediction of shear wave velocity for clastic sedimentary rocks using hybrid model with core data M. Miah 10.1016/j.jrmge.2021.06.014
6. Correlation between the sound speed ratio and physical properties of seafloor sediments in the northwestern shelf of the south China sea Y. Liu et al. 10.1016/j.oceaneng.2024.117496