Abel Yeboah-Ofori | Cybersecurity | Research Excellence Award

Research Excellence Award

Abel Yeboah-Ofori
University of West London
               Abel Yeboah-Ofori
Affiliation University of West London
Country United Kingdom
Scopus ID 57208018436
Documents 29
Citations 427
h-index 10
Subject Area Cybersecurity
Event International Research Hypothesis Excellence Award
ORCID 0000-0001-8055-9274

Abel Yeboah-Ofori is affiliated with the University of West London in the United Kingdom and has contributed scholarly work within the field of cybersecurity research. His academic profile demonstrates contributions to cybersecurity architecture, cyber resilience, intelligent systems security, and cyber threat analysis. Based on available publication indicators and citation metrics, his profile reflects research engagement and measurable academic impact within applied cybersecurity studies.[1]

Abstract

This article presents an overview of the scholarly profile of Abel Yeboah-Ofori and examines the suitability of his academic achievements for recognition through the International Research Hypothesis Excellence Award. The discussion considers publication metrics, citation indicators, subject expertise, and research contributions within cybersecurity studies. Research performance indicators provide measurable evidence for evaluating scholarly productivity and influence.[1]

Keywords

Cybersecurity; Cyber resilience; Threat intelligence; Academic recognition; Research metrics; Information security; Citation analysis

Introduction

Cybersecurity research has become a significant interdisciplinary field due to increasing challenges associated with digital infrastructures, data protection, and cyber risk management. Researchers working within these domains contribute to theoretical and practical developments aimed at strengthening information systems and improving organizational resilience.[2]

Research Profile

Abel Yeboah-Ofori’s research profile demonstrates activity in cybersecurity scholarship with documented publications indexed in international research databases. Citation indicators suggest measurable engagement from the academic community. Research interests include cyber threat detection, adaptive cyber defense systems, and resilient computing environments.[1]

Research Contributions

A researcher focused on cybersecurity system architectures, cyber resilience, and advanced threat detection methodologies. Their scholarly work includes information assurance, secure digital frameworks, and cybersecurity risk assessment research, contributing to the development of resilient and secure technological environments.

Publications

Research publications contribute to the visibility and dissemination of cybersecurity knowledge. Indexed scholarly works and citation accumulation provide evidence of engagement and academic communication across research communities.[1]

Research Impact

Scholarly impact can be assessed through citation counts, h-index values, and publication metrics. Citation indicators of 427 and an h-index value of 10 suggest measurable academic influence and engagement from research communities.[1]

Award Suitability

Evaluation for the International Research Hypothesis Excellence Award may consider publication performance, research quality, contribution relevance, and disciplinary impact. The available research indicators associated with Abel Yeboah-Ofori demonstrate a scholarly profile aligned with academic recognition criteria and cybersecurity research advancement.[3]

Conclusion

The academic profile discussed in this article highlights cybersecurity-focused scholarship, measurable research indicators, and scholarly productivity. Academic evaluation frameworks frequently incorporate research output, citations, and broader impact indicators to assess suitability for research distinction and recognition awards.

References

  1. Elsevier. (n.d.). Scopus author details: Abel Yeboah-Ofori, Author ID 57208018436. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57208018436
  2. International Research Hypothesis Excellence Award.
    https://researchhypothesis.com/
  3. Yeboah-Ofori, A., Islam, S., Lee, S. W., Shamszaman, Z. U., Muhammad, K., et al. (2021). Cyber threat predictive analytics for improving cyber supply chain security.

  4. Yeboah-Ofori, A., & Islam, S. (2019). Cyber security threat modeling for supply chain organizational environments.

  5. Yeboah-Ofori, A. et al. Cybersecurity resilience studies and information systems protection research.

Yichuan Wang | Cybersecurity and Cryptography | Research Excellence Award

Mr. Yichuan Wang | Cybersecurity and Cryptography | Research Excellence Award

Mr. Yichuan Wang | Cybersecurity and Cryptography | Executive Director at Xi’an University of Technology | China 

Mr. Yichuan Wang is an accomplished researcher and academic professional with recognized expertise in cybersecurity, cloud virtualization security, artificial intelligence–driven secure communication, and advanced network trust assessment. He holds a doctoral degree in a computing and information security–related discipline from a reputed university, supported by strong academic foundations in computer science, network engineering, and intelligent systems. He has demonstrated consistent research productivity and global visibility, having authored 164 documents, accumulated 906 citations, and achieved an h-index of 16, reflecting both the breadth and impact of his scholarly contributions.

Citation Metrics (Scopus)

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800

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400

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0

Citations
906

Documents
164

h-index
16

🟦 Citations       🟥 Documents     🟩 h-index


View Scopus Profile

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Abnormal Alliance Detection Method Based on a Dynamic Community Identification and Tracking Method for Time-Varying Bipartite Networks
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Flexible Visually Secure Image Encryption with Meta-Learning Compression and Chaotic Systems
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A High-Acceptance-Rate VxWorks Fuzzing Framework Based on Protocol Feature Fusion and Memory Extraction
– Future Internet (Open Access)
Visually Secure Image Encryption: Exploring Deep Learning for Enhanced Robustness and Flexibility
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Textual Data De-Privatization Scheme Based on Generative Adversarial Networks
– International Conference Paper