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Kwame Bell-Dzide · Peerford

Ghana Communication Technology University / Scholars

KB

Kwame Bell-Dzide

Ghana Communication Technology University

Publishing since 2025, latest 2026

Artificial Intelligence
Signal Processing
Computer Networks and Communications
Computer Vision and Pattern Recognition
Information Systems

ORCID 0009-0000-8203-3436
Their record on OpenAlex

Publications: 42025–2026
Citations: 7to those papers
h-index: 2i10-index 0
Field-weighted impact: 6.081.00 is the world average
World top 10%: 67%2 of 3 scored papers
Open access: 50%2 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%
Signal Processing250%
Computer Networks and Communications

Publications

4 in all

Newest Most cited Oldest Title

Search their publications by title

Explainable AI in Insider Financial Fraud Detection Models: A Review of Transparency and Trust
2026International Conference on Cyber Warfare and SecurityPublicationOpen access2 citations10.34190/iccws.21.1.4416
A Systematic Literature Review on Secure Extraction of Multiple Features for Privacy Protection in Wearable Medical Devices
2026

Download CV:PDF · Word

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

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125%

Computer Vision and Pattern Recognition125%

Information Systems125%

Physical Sciences

Topics most written on

Advanced Malware Detection Techniques1
Adversarial Robustness in Machine Learning1
Anomaly Detection Techniques and Applications1
Biometric Identification and Security1
Chaos-based Image/Signal Encryption1
Explainable Artificial Intelligence (XAI)1
Imbalanced Data Classification Techniques1
Network Security and Intrusion Detection1
User Authentication and Security Systems1

Who they write with

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

Where their co-authors are

100% of their papers have a co-author abroad

papers co-written1122334Home

Most frequent partner countries

South Africa4
China1

Papers with at least one author in that country.

Institutions written with most

Durban University of TechnologyZA3 papers
Sun Yat-sen UniversityCN1 paper
University of Energy and Natural ResourcesGH1 paper
University of KwaZulu-NatalZA1 paper
Koforidua Technical UniversityGH1 paper
University of GhanaGH1 paper

Where they publish

Communications in computer and information science1
International Conference on Cyber Warfare and Security1
Symmetry1

How it can be read

50% free to read

Diamond 1 · 25%Free to read and to publish
Gold 1 · 25%In an open-access journal
Closed 2 · 50%Behind a paywall

Who funds it

1 of 4 papers name a funder

National Key Research and Development Program of China1
National Research Foundation1

Development goals addressed

From each paper’s title and abstract

8Decent work and economic growth1

Most cited

Application of Machine Learning and Deep Learning Techniques for Enhanced Insider Threat Detection in Cybersecurity: Bibliometric Review
Symmetry
20255 citationsWorld top 10%Open access · Gold
Explainable AI in Insider Financial Fraud Detection Models: A Review of Transparency and Trust
International Conference on Cyber Warfare and Security
20262 citationsWorld top 10%Open access · Diamond
A Systematic Literature Review on Secure Extraction of Multiple Features for Privacy Protection in Wearable Medical Devices
Communications in computer and information science
20260 citations
A Bibliometric Study of the Application of Biometric Signals in Encryption
8
20250 citations

Communications in computer and information science

Publication

First author

Corresponding

0 citations

10.1007/978-3-032-22190-2_10

Application of Machine Learning and Deep Learning Techniques for Enhanced Insider Threat Detection in Cybersecurity: Bibliometric Review

2025SymmetryJournalOpen access5 citations10.3390/sym17101704

A Bibliometric Study of the Application of Biometric Signals in Encryption

2025PublicationFirst author0 citations10.1109/icgsp66091.2025.11377937