15 citations as recorded by crossref.

1. Variations in the summer oceanic pCO2 and carbon sink in Prydz Bay using the self-organizing map analysis approach S. Xu et al.
2. A comparative assessment of the uncertainties of global surface ocean CO2 estimates using a machine-learning ensemble (CSIR-ML6 version 2019a) – have we hit the wall? L. Gregor et al.
3. A Surface Ocean CO2 Reference Network, SOCONET and Associated Marine Boundary Layer CO2 Measurements R. Wanninkhof et al.
4. Space–time regression and interpolation of metocean measurements: A focus on satellite data for the offshore energy sector L. Gambarelli et al.
5. Spatial reconstruction of long-term (2003–2020) sea surface pCO2 in the South China Sea using a machine-learning-based regression method aided by empirical orthogonal function analysis Z. Wang et al.
6. A Review of Machine Learning Applications in Ocean Color Remote Sensing Z. Zhang et al.
7. The impact of the South-East Madagascar Bloom on the oceanic CO2 sink N. Metzl et al.
8. Performance Evaluation of Gradient Descent Optimizers in Estuarine Turbidity Estimation with Multilayer Perceptron and Sentinel-2 Imagery N. Ndou & N. Nontongana
9. Global ocean surface pCO2 retrieval and the influence of mesoscale eddies on its performance Y. Wang et al.
10. Reconstruction of global surface ocean pCO2 using region-specific predictors based on a stepwise FFNN regression algorithm G. Zhong et al.
11. Modeling and Prediction of Environmental Factors and Chlorophyll a Abundance by Machine Learning Based on Tara Oceans Data Z. Cui et al.
12. High Resolution Estimation of Ocean Dissolved Inorganic Carbon, Total Alkalinity and pH Based on Deep Learning C. Galdies & R. Guerra
13. Applications of Machine Learning in Chemical and Biological Oceanography B. Sadaiappan et al.
14. Generalization of Parameter Selection of SVM and LS-SVM for Regression J. Zeng et al.
15. Estimation of Fugacity of Carbon Dioxide in the East Sea Using In Situ Measurements and Geostationary Ocean Color Imager Satellite Data E. Jang et al.