Chinonyerem Anamemena Grace Johnson

University of Ibadan

Also at Dominion University, Ibadanfrom their recent papers

Publishing since 2023, latest 2026

Artificial Intelligence
Computational Theory and Mathematics
Genetics
Computer Vision and Pattern Recognition
Molecular Biology
Pharmacology

Publications: 42023–2026
Citations: 24to those papers
h-index: 1i10-index 1
Field-weighted impact: 3.761.00 is the world average
World top 10%: 25%1 of 4 scored papers
Open access: 50%2 papers free to read

1 other work — a preprint, a dataset or the like — is listed but not counted.

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%
Computational Theory and Mathematics2

Career

On their papers

Every institution they have given on a paper.

Publications

4 in all

An integrated machine learning and structure-based framework for identifying natural inhibitors of estrogen receptor alpha using curated MCF-7 cytotoxicity data
2026Discover Chemistry.JournalOpen accessFirst authorCorresponding0 citations10.1007/s44371-026-00729-y
An Integrated Machine Learning and Structure-Based Framework for Identifying Natural Inhibitors of Estrogen Receptor Alpha Using Curated MCF-7 Cytotoxicity Data

Download CV:PDFWord

Computer Vision and Pattern Recognition125%

Molecular Biology125%

Health Sciences
Life Sciences
Physical Sciences

Topics most written on

Computational Drug Discovery Methods2
Estrogen and related hormone effects2
Imbalanced Data Classification Techniques2
Machine Learning and Data Classification2
Data Stream Mining Techniques1
Digital Imaging for Blood Diseases1
Machine Learning in Bioinformatics1
Microbial Natural Products and Biosynthesis1

Who they write with

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

Where their co-authors are

50% of their papers have a co-author abroad

papers co-written2222222Home

Most frequent partner countries

Brazil2

Papers with at least one author in that country.

Institutions written with most

Obafemi Awolowo UniversityNG2 papers
Universidade Estadual de Campinas (UNICAMP)BR1 paper
Universidade Federal da BahiaBR1 paper
Ladoke Akintola University of TechnologyNG1 paper
University of IlorinNG1 paper
Dominion University, IbadanNG1 paper

Where they publish

STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health2
Discover Chemistry.1
Zenodo (CERN European Organization for Nuclear Research)1

How it can be read

50% free to read

Diamond 1 · 25%Free to read and to publish
Green 1 · 25%A copy in a repository
Closed 2 · 50%Behind a paywall

Development goals addressed

From each paper’s title and abstract

3Good health and well-being1
5Gender equality1

Most cited

Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers: Application to Anaemia Diagnosis
STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
202323 citationsWorld top 10%
Overweight Prediction Using Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers
STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health5
20241 citation
An integrated machine learning and structure-based framework for identifying natural inhibitors of estrogen receptor alpha using curated MCF-7 cytotoxicity data
Discover Chemistry.3
20260 citationsOpen access · Diamond
An Integrated Machine Learning and Structure-Based Framework for Identifying Natural Inhibitors of Estrogen Receptor Alpha Using Curated MCF-7 Cytotoxicity Data
Zenodo (CERN European Organization for Nuclear Research)
20250 citationsOpen access · Green

2025Zenodo (CERN European Organization for Nuclear Research)JournalOpen accessFirst authorCorresponding0 citations10.5281/zenodo.17879976

Overweight Prediction Using Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers

2024STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & HealthBook chapter1 citation10.1007/978-3-031-72215-8_3

Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers: Application to Anaemia Diagnosis

2023STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & HealthBook chapter23 citations10.1007/978-3-031-41352-0_18