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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.

Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks

2025Applied Computational Intelligence and Soft ComputingJournalOpen access

10.1155/acis/7641994 Full text3 citations

Authors

9 authors across 8 institutions in 7 countries.

Stephen AfrifaFirst authorCorresponding
- University of Energy and Natural Resources (GH)
Tao Zhang
Peter Appiahene
- University of Energy and Natural Resources (GH)
Xin Zhao
Vijayakumar Varadarajan
Thomas Atta‐Darkwa
- University of Energy and Natural Resources (GH)
as printed: Thomas Atta-Darkwah
Yanzhang Geng
Daniel Gyamfi
Rose-Mary Owusuaa Mensah GyeningSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 1.00
Hydrology and Watershed Management Studieslevel 3 · 0.98
Flood Risk Assessment and Managementlevel 3 · 0.98

Sources

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

openalexseen September 5, 2026
2025 · Applied Computational Intelligence and Soft Computing · 3 citations
https://openalex.org/W4408338628

Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks · Sankore