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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.

Explainable AI for Water Quality Monitoring: A Systematic Review of Transparency, Interpretability, and Trust

2025IEEE Sensors ReviewsJournalOpen access

10.1109/sr.2025.3595500 Full text35 citations

Authors

6 authors across 6 institutions in 4 countries.

Ibraheem Adebayo AderemiFirst author
- University of Ilorin (NG)
Temitope Olubanjo Kehinde
Ugochukwu Daniel Okwor
- University of Nigeria (NG)
Khalid Hussain Ahmad
- Federal University Lokoja (NG)
Kofi Yeboah Adjei
- Ghana Institute of Management and Public Administration (GH)
Chijioke Cyriacus EkechiSenior author

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.98
Explainable Artificial Intelligence (XAI)level 3 · 0.98
Anomaly Detection Techniques and Applicationslevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2025 · IEEE Sensors Reviews · 35 citations
https://openalex.org/W4412939923

Explainable AI for Water Quality Monitoring: A Systematic Review of Transparency, Interpretability, and Trust · Sankore