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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Analysis of solar energy potentials of five selected south-east cities in nigeria using deep learning algorithms

2024Sustainable Energy ResearchJournalOpen access

10.1186/s40807-023-00096-7 Full text13 citations

Authors

6 authors across 4 institutions in 3 countries.

Samuel IkembaFirst author
Kim Song-hyun
Temiloluwa O Scott
- Vaal University of Technology (ZA)
Daniel Raphael Ejike EwimCorresponding
as printed: Daniel R. E. Ewim
Sogo Mayokun Abolarin
- University of the Free State (ZA)
as printed: Sogo M. Abolarin
Akeeb Adepoju FawoleSenior author

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Solar Radiation and Photovoltaicslevel 3 · 1.00
Energy and Environment Impactslevel 3 · 0.98

Sources

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

openalexseen September 8, 2026
2024 · Sustainable Energy Research · 13 citations
https://openalex.org/W4390619549

Analysis of solar energy potentials of five selected south-east cities in nigeria using deep learning algorithms · Sankore