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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.

Detecting and Neutralizing Prompt Injection Attacks in Web-Deployed Large Language Model APIs Using Context-Aware Token Sanitization

2025International Journal of Multidisciplinary Evolutionary ResearchJournalOpen access

10.54660/ijmer.2025.6.2.92-100 Full text0 citations

Authors

6 authors across 4 institutions in 3 countries.

Stephanie Onyekachi OparahFirst author
Stephanie Onyekachi OparahFirst author
Funmi Eko Ezeh
- Cleen Foundation (NG)
Pamela Gado
Adeyeni Suliat Adeleke
Stephen Vure GbarabaSenior author

Fields

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

Topic Modelinglevel 3 · 0.98
Access Control and Trustlevel 3 · 0.96
Natural Language Processing Techniqueslevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2025 · International Journal of Multidisciplinary Evolutionary Research · 0 citations
https://openalex.org/W4415536854

Detecting and Neutralizing Prompt Injection Attacks in Web-Deployed Large Language Model APIs Using Context-Aware Token Sanitization · Sankore