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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Deep Learning and Explainable AI for Critical Mineral Prospectivity Mapping: Multi-target Prediction with Uncertainty Quantification

2026Natural Resources ResearchJournal

10.1007/s11053-026-10712-0 Full text1 citations

Authors

6 authors across 6 institutions in 4 countries.

Sidique GawusuFirst authorCorresponding
Mahamuda Abu
- University for Development Studies (GH)
Xiaobing Zhang
John Desderius Kalimenze
- The University of Dodoma (TZ)
Benatus Norbert Mvile
- The University of Dodoma (TZ)
Salaam Jansbaka AdamsSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Geochemistry and Geologic Mappinglevel 3 · 0.95
Mineral Processing and Grindinglevel 3 · 0.03
Soil Geostatistics and Mappinglevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 8, 2026
2026 · Natural Resources Research · 1 citations
https://openalex.org/W7164050935

Deep Learning and Explainable AI for Critical Mineral Prospectivity Mapping: Multi-target Prediction with Uncertainty Quantification · Sankore