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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.

Leveraging Large Language Model on Spam Email Detection and Classification

2025Applied Computational Intelligence and Soft ComputingJournalOpen access

10.1155/acis/7032960 Full text2 citations

Authors

5 authors across 4 institutions in 2 countries.

Charles Okechukwu UgwunnaFirst author
- Rivers State University (NG)
Ibidun Christiana ObagbuwaCorresponding
- Walter Sisulu University (ZA)
Mayowa Samuel Obadina
- Federal University of Agriculture, Abeokuta (NG)
Ifeanyi Godspower Akawuku
- Nnamdi Azikiwe University (NG)
Kingsley Chiwuike UkaohaSenior author
- Rivers State University (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 0.98
Mental Health via Writinglevel 3 · 0.00
Big Data and Digital Economylevel 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
2025 · Applied Computational Intelligence and Soft Computing · 2 citations
https://openalex.org/W4415642976

Leveraging Large Language Model on Spam Email Detection and Classification · Sankore