Support vector machine: A tool for mapping mineral prospectivityRenguang Zuo, Emmanuel John M. Carranza|Computers & Geosciences|2010Cited by 489
Deep learning and its application in geochemical mappingRenguang Zuo, Emmanuel John M. Carranza, Jian Wang et al.|Earth-Science Reviews|2019Cited by 388
Mapping mineral prospectivity through big data analytics and a deep learning algorithmYihui Xiong, Emmanuel John M. Carranza, Renguang Zuo|Ore Geology Reviews|2018Cited by 224
Predictive mapping of prospectivity and quantitative estimation of undiscovered VMS deposits in Skellefte district (Sweden)Emmanuel John M. Carranza, Martiya Sadeghi|Ore Geology Reviews|2010Cited by 159
Spatial analysis and visualization of exploration geochemical dataRenguang Zuo, Jian Wang, Emmanuel John M. Carranza|Earth-Science Reviews|2016Cited by 156