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.

Systematic Review of Machine Learning and Deep Learning Approaches for Spam Detection in Online Social Networks

2026Impact in ComputicsJournalOpen access

10.65500/computics-2026-004 Full text0 citations

Authors

5 authors across 3 institutions in 2 countries.

Abdu IbrahimFirst author
- Abubakar Tafawa Balewa University (NG)
Badamasi Imam Ya’u
- Islamic University in Uganda (UG)
Fatima Umar Zambuk
- Abubakar Tafawa Balewa University (NG)
Shehu Adamu
- The Federal Polytechnic, Ado-Ekiti (NG)
Augustine Ndudi EgereSenior author
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 0.97
Cybercrime and Law Enforcement Studieslevel 3 · 0.00
Imbalanced Data Classification Techniqueslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · Impact in Computics · 0 citations
https://openalex.org/W7172503721

Systematic Review of Machine Learning and Deep Learning Approaches for Spam Detection in Online Social Networks · Sankore