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.

Causal Feature Selection for Explainable AI (XAI) in Fraud Detection: A Systematic Literature Review

2026Asian Journal of Research in Computer ScienceJournalOpen access

10.9734/ajrcos/2026/v19i1819 Full text0 citations

Authors

4 authors.

Adesuyan Mayowa EmmanuelFirst author
- Babcock University (NG)
Ayankoya Folasade
- Babcock University (NG)
Kuyoro Shade
- Babcock University (NG)
Ajayi OluwabukolaSenior author
- Babcock University (NG)

Fields

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

Explainable Artificial Intelligence (XAI)level 3 · 0.80
Imbalanced Data Classification Techniqueslevel 3 · 0.10
Ethics and Social Impacts of AIlevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · Asian Journal of Research in Computer Science · 0 citations
https://openalex.org/W7127582587

Causal Feature Selection for Explainable AI (XAI) in Fraud Detection: A Systematic Literature Review · Sankore