8 citations as recorded by crossref.

1. Could Airborne Geophysical Data Be Used to Improve Predictive Modeling of Agronomic Soil Properties in Tropical Hillslope Area? B. Bastos et al. 10.3390/rs15153719
2. Enhancing lithium exploration in the Borborema province, Northeast Brazil: Integrating airborne geophysics, low-density geochemistry, and machine learning algorithms G. Ferreira da Silva et al. 10.1016/j.gexplo.2025.107861
3. Sustainable Recovery of Lithium from Contaminated Soil through Halophyte Salt Excretion R. Yaokawa et al. 10.1021/acs.est.5c03574
4. Soil low-density geochemical mapping of technology-critical elements (TCEs) and its environmental implications: The case of lithium in Portugal O. Neves et al. 10.1016/j.scitotenv.2024.173207
5. Disentangling Jenny’s equation by machine learning F. Prieto-Castrillo et al. 10.1038/s41598-023-44171-x
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7. Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms S. Saidi et al. 10.1080/17538947.2023.2210314
8. Evaluation of the resource potential of economic minerals by fractal modeling and multivariate geostatistical analysis of stream sediment data in the Precambrian Oban, Nigeria, basement terrain and environs G. Sikakwe et al. 10.1007/s43217-025-00252-7