Stephen Kofi Dotse

University of Professional Studies

Publishing since 2025, latest 2026

Artificial Intelligence
Computer Networks and Communications
Control and Systems Engineering
Civil and Structural Engineering
Computational Theory and Mathematics
Computer Science Applications

Their record on OpenAlex

Publications: 62025–2026
Citations: 0to those papers
h-index: 0i10-index 0
Field-weighted impact: 0.001.00 is the world average
World top 10%: 0%0 of 6 scored papers
Open access: 100%6 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

What they work on

From the classification of each paper

Subfields

Artificial Intelligence583%
Computer Networks and Communications233%
Control and Systems Engineering233%

Publications

6 in all

Predict Student Dropout Rates in Higher Education Using Academic and Non-Academic Factors: A Machine Learning Approach
2026International Journal of Computer ApplicationsJournalOpen accessFirst author0 citations10.5120/ijca2026926382
A Systematic Review of Metaheuristic-Metaheuristic (MH-MH) Hybridizations for Optimization
2026

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Civil and Structural Engineering

Computational Theory and Mathematics117%

Computer Science Applications117%

Computer Vision and Pattern Recognition117%

Electrical and Electronic Engineering117%

Industrial and Manufacturing Engineering117%

Physical Sciences
Social Sciences

Topics most written on

Smart Grid Security and Resilience2
Advanced Multi-Objective Optimization Algorithms1
Adversarial Robustness in Machine Learning1
Anomaly Detection Techniques and Applications1
Digital Imaging for Blood Diseases1
Higher Education Research Studies1
Infrastructure Resilience and Vulnerability Analysis1
Intelligent Tutoring Systems and Adaptive Learning1
Metaheuristic Optimization Algorithms Research1
Mobile Ad Hoc Networks1
Network Security and Intrusion Detection1
Online Learning and Analytics1

Who they write with

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

Where their co-authors are

33% of their papers have a co-author abroad

papers co-written2222222Home

Most frequent partner countries

United Kingdom2

Papers with at least one author in that country.

Institutions written with most

Valley View UniversityGH4 papers
Nottingham Trent UniversityGB2 papers
Kwame Nkrumah University of Science and TechnologyGH2 papers
Wisconsin International University CollegeGH2 papers
University of GhanaGH1 paper

Where they publish

International Journal of Computer Applications4
Future Technology1
Journal of Computer Science1

How it can be read

100% free to read

Diamond 5 · 83%Free to read and to publish
Hybrid 1 · 17%Open in a subscription journal

Who funds it

1 of 6 papers name a funder

National Institutes of Health1

Development goals addressed

From each paper’s title and abstract

9Industry, innovation and infrastructure2
4Quality education1
17Partnerships for the goals1

Most cited

Predict Student Dropout Rates in Higher Education Using Academic and Non-Academic Factors: A Machine Learning Approach
International Journal of Computer Applications4
20260 citationsOpen access · Diamond
A Systematic Review of Metaheuristic-Metaheuristic (MH-MH) Hybridizations for Optimization
Journal of Computer Science17
20260 citationsOpen access · Hybrid
A descriptive systematic review of contemporary MANET security research: themes, design structures, and reporting rigor
Future Technology
20260 citationsOpen access · Diamond
Integrating DNP3 Secure Authentication with Transport Layer Security for enhanced industrial control system security
International Journal of Computer Applications9
20260 citationsOpen access · Diamond
Robust Machine Learning Models for Cybersecurity in Critical Infrastructures A Systematic Review, Empirical Synthesis, and Framework Proposal
International Journal of Computer Applications9
20260 citationsOpen access · Diamond

Journal of Computer Science

Advances in Malaria Detection: Synergizing Deep Learning and Traditional Machine Learning

2025International Journal of Computer ApplicationsJournalOpen access0 citations10.5120/ijca2025925171