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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.

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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.

Intelligent Models for Mitigating the Impact of Phishing on Electronic Commerce Data: A Critical Narrative Review of Detection Capability, Robustness and Operational Evidence

2026Asian Journal of Research in Computer ScienceJournalOpen access

10.9734/ajrcos/2026/v19i9903 Full text0 citations

Authors

5 authors across 3 institutions in 2 countries.

Chukwueke NwagbaraFirst author
- Federal University of Technology Owerri (NG)
E.C. Nwokorie
- Federal University of Technology Owerri (NG)
as printed: Euphemia Chioma Nwokorie
Mercy E. Bensone-Emenike
- Federal University of Technology Owerri (NG)
Njoku O. A.
- Federal University of Technology Owerri (NG)
as printed: Obilor Athanasius Njoku
Okwedi KelichaSenior author
- Madonna University (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 0.90
Imbalanced Data Classification Techniqueslevel 3 · 0.03
Cybercrime and Law Enforcement Studieslevel 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 · Asian Journal of Research in Computer Science · 0 citations
https://openalex.org/W7204241891

Intelligent Models for Mitigating the Impact of Phishing on Electronic Commerce Data: A Critical Narrative Review of Detection Capability, Robustness and Operational Evidence · Sankore