7 citations as recorded by crossref.

1. Uncertainty quantification for digital soil mapping: An overview A. ZHU et al.
2. A seventeen-year soil analysis dataset for ecosystem management M. Collinet et al.
3. Evaluating the Impact of Multi-Source Digital Elevation Model Quality on Archeological Predictive Modeling: An Integrated Framework Based on Machine Learning and SHAP-Based Interpretability Analysis J. Yang et al.
4. Mapping and modelling land degradation vulnerability in a semi-arid region: a case study from Battalgazi District, Turkiye M. Kılıç
5. Importance ranking of data and model uncertainties in quantile regression forest-based spatial predictions when data are sparse, imprecise and clustered J. Rohmer
6. Explainable machine learning models for predicting topsoil metals and oxides A. Suleymanov et al.
7. Evaluation of spatial effects on hydrogeochemical interactions in nitrate pollution using machine learning and explainable artificial intelligence J. Mogaraju