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.

SAE-IF: A hybrid sparse autoencoder–isolation forest framework for real-time credit-card fraud detection and sustainable digital-economy protection

2026Journal of the Nigerian Society of Physical SciencesJournalOpen access

10.46481/jnsps.2026.3401 Full text0 citations

Authors

8 authors across 2 institutions in 1 country.

Ogochukwu C. OkekeFirst author
- Chukwuemeka Odumegwu Ojukwu University (NG)
Ike Mgbeafulike
- Chukwuemeka Odumegwu Ojukwu University (NG)
as printed: Ike J. Mgbeafulike
Anthony I Adigwe
- Federal Polytechnic Oko (NG)
as printed: Anthony I. Adigwe
CHIDIOGO C. NWOKEDI
- Federal Polytechnic Oko (NG)
as printed: Chidiogo C. Nwokedi
Nwadiogo E. G. Mmaduakonam
- Chukwuemeka Odumegwu Ojukwu University (NG)
Calista U. Okpala
- Federal Polytechnic Oko (NG)
Chinonso J. Okonkwo
- Chukwuemeka Odumegwu Ojukwu University (NG)
Nnamdi C. EzenwegbuSenior author
- Chukwuemeka Odumegwu Ojukwu University (NG)

Fields

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

Imbalanced Data Classification Techniqueslevel 3 · 0.86
Financial Distress and Bankruptcy Predictionlevel 3 · 0.07
Anomaly Detection Techniques and Applicationslevel 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
2026 · Journal of the Nigerian Society of Physical Sciences · 0 citations
https://openalex.org/W7171972623

SAE-IF: A hybrid sparse autoencoder–isolation forest framework for real-time credit-card fraud detection and sustainable digital-economy protection · Sankore