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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.

AI-driven fraud detection in banking: A systematic review of data science approaches to enhancing cybersecurity

2024GSC Advanced Research and ReviewsJournalOpen access

10.30574/gscarr.2024.21.2.0418 Full text23 citations

Authors

7 authors across 6 institutions in 3 countries.

Olawale OlowuFirst author
- Lagos State Health Service Commission (NG)
Ademilola Olowofela Adeleye
- Lagos State Health Service Commission (NG)
Abraham Okandeji Omokanye
Akintayo Micheal Ajayi
Adebayo Olabode Adepoju
Olayinka Mary Omole
Ernest Chinonso ChianumbaSenior authorCorresponding
as printed: Ernest C. Chianumba

Fields

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

Imbalanced Data Classification Techniqueslevel 3 · 0.96
Blockchain Technology Applications and Securitylevel 3 · 0.91

Sources

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

openalexseen September 9, 2026
2024 · GSC Advanced Research and Reviews · 23 citations
https://openalex.org/W4404418512

AI-driven fraud detection in banking: A systematic review of data science approaches to enhancing cybersecurity · Sankore