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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.

Application of SVC, k-NN, and LDA machine learning algorithms for improved prediction of Bioturbation: Example from the Subei Basin, China

2024Earth Science InformaticsJournal

10.1007/s12145-024-01450-z Full text4 citations

Authors

7 authors across 4 institutions in 2 countries.

Jonathan Atuquaye QuayeFirst authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Kwame Sarkodie
- Kwame Nkrumah University of Science and Technology (GH)
Zaixing Jiang
Chenlin Hu
Joshua Agbanu
- Kwame Nkrumah University of Science and Technology (GH)
Stephen Adjei
- Kwame Nkrumah University of Science and Technology (GH)
Baiqiang LiSenior author

Fields

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

Reservoir Engineering and Simulation Methodslevel 3 · 1.00
Hydraulic Fracturing and Reservoir Analysislevel 3 · 1.00
Drilling and Well Engineeringlevel 3 · 1.00

Sources

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

openalexseen September 5, 2026
2024 · Earth Science Informatics · 4 citations
https://openalex.org/W4401967539

Application of SVC, k-NN, and LDA machine learning algorithms for improved prediction of Bioturbation: Example from the Subei Basin, China · Sankore