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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.

Oyewole Dokun · Sankore

Federal University of Technology Owerri

Oyewole Dokun

ORCID, self-asserted

ORCID 0009-0000-0125-3286

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it.

Publications

7

Citations

22

h-index

3

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

1

Works published 2022 onward have been swept for this country. Figures are complete within that window, to the extent the open indexes are.

Affiliations

Every institution this scholar has appeared with on a work, by how many.

Federal University of Technology Owerri3 works
Glorious Vision University2 works

Publications

7 works in the graph, newest first.

Investigation of the Innovative use of Mobile Computing Devices in the Nigerian Working Environment
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen accessFirst author0 citations10.5281/zenodo.20287505
Investigation of the Innovative use of Mobile Computing Devices in the Nigerian Working Environment
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen accessFirst author0 citations10.5281/zenodo.20287504
Integrating Artificial Intelligence with Internet of Things (IoT) for Scientific Experiments
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen accessFirst author0 citations10.5281/zenodo.20314049
Integrating Artificial Intelligence with Internet of Things (IoT) for Scientific Experiments
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen accessFirst author0 citations10.5281/zenodo.20314048

Advancing COVID-19 Prediction with Deep Learning Models: A Review

2024Publication12 citations10.1109/seb4sdg60871.2024.10630186

Deep Learning Model for COVID-19 Classification Using Fine Tuned ResNet50 on Chest X-Ray Images

2024Machine Learning ResearchJournalOpen accessFirst author3 citations10.11648/j.mlr.20240901.12

A Hybrid Model using MobileNetv2 and SVM for Enhanced Classification and Prediction of Tomato Leaf Diseases

2023International Journal of Electrical and Electronics EngineeringJournalOpen accessSenior author7 citations10.14445/23488379/ijeee-v10i8p104