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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.

Deep learning ResNet34 model-assisted diagnosis of sickle cell disease via microcolumn isoelectric focusing

2024Analytical MethodsJournal

10.1039/d4ay01005a Full text4 citations

Authors

13 authors across 3 institutions in 2 countries.

ALI SANIFirst author
as printed: Ali Sani
Youli Tian
Saud Shah
Saud Shah
Saud Shah
Muhammad Idrees Khan
Hafiz Rabiu Abdurrahman
- Aminu Kano Teaching Hospital (NG)
Genhan Zha
Qiang Zhang
Weiwen Liu
Ibrahim Lawal Abdullahi
- Bayero University Kano (NG)
Yuxin WangCorresponding
ChengXi CaoSenior authorCorresponding
as printed: Chengxi Cao

Fields

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

Hemoglobinopathies and Related Disorderslevel 3 · 0.99
Digital Imaging for Blood Diseaseslevel 3 · 0.98
Imbalanced Data Classification Techniqueslevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · Analytical Methods · 4 citations
https://openalex.org/W4402369162

Deep learning ResNet34 model-assisted diagnosis of sickle cell disease via microcolumn isoelectric focusing · Sankore