Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Enhancing Credit Card Fraud Detection Using Explainable Artificial Intelligence

2025FUOYE Journal of Engineering and TechnologyJournalOpen access

10.4314/fuoyejet.v10i1.13 Full text3 citations

Authors

5 authors.

Samera U OtorFirst author
- Benue State University (NG)
Philip O. Anefu
- Benue State University (NG)
Beatrice O. Akumba
- Benue State University (NG)
Caleb D. Iornongo
- Benue State University (NG)
Joseph S. IdikwuSenior author
- Benue State University (NG)

Fields

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

Imbalanced Data Classification Techniqueslevel 3 · 0.76
Explainable Artificial Intelligence (XAI)level 3 · 0.13
Financial Distress and Bankruptcy Predictionlevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2025 · FUOYE Journal of Engineering and Technology · 3 citations
https://openalex.org/W7124272999

Enhancing Credit Card Fraud Detection Using Explainable Artificial Intelligence · Sankore