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.

Deep Learning Based Credit Card Fraud Detection in Electronic Payment Platforms

2026International Journal of Research and Innovation in Applied ScienceJournalOpen access

10.51584/ijrias.2026.11060026 Full text0 citations

Authors

3 authors across 2 institutions in 1 country.

Udeh Chukwuma CallistusFirst author
- Enugu State University of Science and Technology (NG)
Ibeonu Ogochukwu Chinyere
- Chukwuemeka Odumegwu Ojukwu University (NG)
Chukwujekwu John OkaforSenior author
- Enugu State University of Science and Technology (NG)

Fields

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

Imbalanced Data Classification Techniqueslevel 3 · 0.96
Financial Distress and Bankruptcy Predictionlevel 3 · 0.01
Spam and Phishing Detectionlevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Research and Innovation in Applied Science · 0 citations
https://openalex.org/W7165176169

Deep Learning Based Credit Card Fraud Detection in Electronic Payment Platforms · Sankore