25 citations as recorded by crossref.

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4. Net Sea–Air CO$_{2}$ Fluxes and Modeled Partial Pressure of CO$_{2}$ in Open Ocean of Bay of Bengal A. Dixit et al. 10.1109/JSTARS.2019.2902253
5. Remote estimation of surface pCO2 on the West Florida Shelf S. Chen et al. 10.1016/j.csr.2016.09.004
6. Variations in the summer oceanic <i>p</i>CO<sub>2</sub> and carbon sink in Prydz Bay using the self-organizing map analysis approach S. Xu et al. 10.5194/bg-16-797-2019
7. Estimating spatial and temporal variation in ocean surface pCO2 in the Gulf of Mexico using remote sensing and machine learning techniques Z. Fu et al. 10.1016/j.scitotenv.2020.140965
8. Estimating temporal and spatial variation of ocean surface <i>p</i>CO<sub>2</sub> in the North Pacific using a self-organizing map neural network technique S. Nakaoka et al. 10.5194/bg-10-6093-2013
9. A statistical gap‐filling method to interpolate global monthly surface ocean carbon dioxide data S. Jones et al. 10.1002/2014MS000416
10. At‐sea intercomparison of three underway pCO2 systems R. Arruda et al. 10.1002/lom3.10346
11. Estimation of sea surface pCO2 and air–sea CO2 flux in the East China Sea using in-situ and satellite data over the period 2000–2016 J. Liu et al. 10.1016/j.csr.2022.104879
12. A seamless ensemble-based reconstruction of surface ocean <i>p</i>CO<sub>2</sub> and air–sea CO<sub>2</sub> fluxes over the global coastal and open oceans T. Chau et al. 10.5194/bg-19-1087-2022
13. Investigating the complex relationship between in situ Southern Ocean $$pCO_{2}$$ p C O 2 and its ocean physics and biogeochemical drivers using a nonparametric regression approach W. Pretorius et al. 10.1007/s10651-014-0276-5
14. Space-Time Sea Surface pCO2 Estimation in the North Atlantic Based on CatBoost H. Sun et al. 10.3390/rs13142805
15. A Global Surface Ocean fCO2 Climatology Based on a Feed-Forward Neural Network J. Zeng et al. 10.1175/JTECH-D-13-00137.1
16. A novel sea surface pCO2-product for the global coastal ocean resolving trends over 1982–2020 A. Roobaert et al. 10.5194/essd-16-421-2024
17. A Multiparametric Nonlinear Regression Approach for the Estimation of Global Surface Ocean pCO2 Using Satellite Oceanographic Data K. Krishna et al. 10.1109/JSTARS.2020.3026363
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19. A machine learning approach to estimate surface ocean pCO2 from satellite measurements S. Chen et al. 10.1016/j.rse.2019.04.019
20. Estimating mixed layer nitrate in the North Atlantic Ocean T. Steinhoff et al. 10.5194/bg-7-795-2010
21. Estimating the monthly <i>p</i>CO<sub>2</sub> distribution in the North Atlantic using a self-organizing neural network M. Telszewski et al. 10.5194/bg-6-1405-2009
22. The Distribution of pCO2W and Air-Sea CO2 Fluxes Using FFNN at the Continental Shelf Areas of the Arctic Ocean I. Wrobel-Niedzwiecka et al. 10.3390/rs14020312
23. Remote sensing the sea surface CO<sub>2</sub> of the Baltic Sea using the SOMLO methodology G. Parard et al. 10.5194/bg-12-3369-2015
24. Technical note: Evaluation of three machine learning models for surface ocean CO<sub>2</sub> mapping J. Zeng et al. 10.5194/os-13-303-2017
25. Satellite-derived CO2fugacity in surface seawater of the tropical Atlantic Ocean using a feedforward neural network H. Moussa et al. 10.1080/01431161.2015.1131872