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Elizabeth Oluyemisi Ogunseye · Peerford

University of Ibadan / Scholars

EO

Elizabeth Oluyemisi Ogunseye

University of Ibadan

Publishing since 2022, latest 2025

Artificial Intelligence
Health Information Management
Demography
General Health Professions
Human Factors and Ergonomics
Radiology, Nuclear Medicine and Imaging

ORCID 0000-0001-9086-9436
Their record on OpenAlex

Publications: 42022–2025
Citations: 49to those papers
h-index: 1i10-index 1
Field-weighted impact: 1.411.00 is the world average
World top 10%: 25%1 of 4 scored papers
Open access: 100%4 papers free to read

By year

Papers, and the citations to them

Publications, left axisCitations to that year’s papers, right axis2026 still in progress

Citations received each year

Peerford

To all their work, old papers included. Google Scholar also counts citations from theses, books and web pages, so its line runs higher.

What they work on

From the classification of each paper

Subfields

Artificial Intelligence250%

Publications

4 in all

Newest Most cited Oldest Title

Search their publications by title

Towards Domain-Aware Language Models for Low-Resource Healthcare: Fine-Tuning LLMs and SLMs with Parallel English–Yoruba Maternal Health Data
2025Journal of Computer Sciences and ApplicationsJournalOpen accessFirst author1 citation10.12691/jcsa-13-2-3
Predictive and Diagnostic Analysis of Diabetes Patients Using DeepNet and Ensemble Models

Download CV:PDF · Word

Who they write with Where their co-authors are Every publication

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Health Information Management250%

Demography125%

General Health Professions125%

Human Factors and Ergonomics125%

Radiology, Nuclear Medicine and Imaging125%

Health Sciences
Physical Sciences
Social Sciences

Topics most written on

Artificial Intelligence in Healthcare2
Machine Learning in Healthcare2
COVID-19 diagnosis using AI1
Digital Accessibility for Disabilities1
Interpreting and Communication in Healthcare1
Technology Use by Older Adults1
Topic Modeling1

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

25% of their papers have a co-author abroad

papers co-written1111111Home

Most frequent partner countries

United Kingdom1

Papers with at least one author in that country.

Institutions written with most

University of SalfordGB1 paper
Ladoke Akintola University of TechnologyNG1 paper

Where they publish

Advances in Multidisciplinary & Scientific Research Journal Publication2
Journal of Computer Sciences and Applications1
ParadigmPlus1

How it can be read

100% free to read

Diamond 2 · 50%Free to read and to publish
Bronze 2 · 50%Free to read, no open licence

Development goals addressed

From each paper’s title and abstract

4Quality education1

Most cited

Predictive Analysis of Mental Health Conditions Using AdaBoost Algorithm
ParadigmPlus
202248 citationsWorld top 10%Open access · Diamond
Towards Domain-Aware Language Models for Low-Resource Healthcare: Fine-Tuning LLMs and SLMs with Parallel English–Yoruba Maternal Health Data
Journal of Computer Sciences and Applications
20251 citationOpen access · Diamond
Predictive and Diagnostic Analysis of Diabetes Patients Using DeepNet and Ensemble Models
Advances in Multidisciplinary & Scientific Research Journal Publication
20240 citationsOpen access · Bronze
Development of an Inclusive Visual Dictionary for Autistic Children Using Human-Computer Interaction
Advances in Multidisciplinary & Scientific Research Journal Publication4
20240 citationsOpen access · Bronze

2024

Advances in Multidisciplinary & Scientific Research Journal Publication

Journal

Open access

First author

0 citations

10.22624/aims/maths/v12n3p1

Development of an Inclusive Visual Dictionary for Autistic Children Using Human-Computer Interaction

2024Advances in Multidisciplinary & Scientific Research Journal PublicationJournalOpen access0 citations10.22624/aims/sij/v10n2p4

Predictive Analysis of Mental Health Conditions Using AdaBoost Algorithm

2022ParadigmPlusJournalOpen accessFirst author48 citations10.55969/paradigmplus.v3n2a2