I'm about to submit my paper which is about predicting the apparent geothermal gradient in a country using a machine learning algorythm, the main motivation is the fact that the country only has heat flow data for about half of the territory and it's measured in-situ from well logs, so there are a considerable part of the country devoid of data. I'm using a Machine Learning approach to estimate the geothermal gradient using geophysical and geological data available for all the territory.
I referenced 18 papers: data sources, XGBoost fundamentals, decision trees, geological information about the country, current geothermal gradients map; and some about similar jobs (Predicting heat flow in Greenland, predicting heat flow in Antarctica, Predicting very shallow geothermal potential in Switzerland, Statistical modelling for global heat flow, etc).
So, should I add more citations? The Antarctica paper has over 60 citations, but they are doing double job (They train and test the model in Australia and then use the model to do predictions Antarctica).
I'm not quite sure if 18 references is fine for my paper, as it not a survey research or a review, just a proposed methodology. Thanks in advance for any suggestion!