Abdul Razaque Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Professor

Last publication 2025 Last refreshed 2026-04-25

faculty

28 h-index 224 pubs 2,919 cited

Biography and Research Information

OverviewAI-generated summary

Abdul Razaque's research focuses on the application of advanced computational methods, including deep learning and machine learning algorithms, to address challenges in diverse fields. His work investigates the use of artificial intelligence for tasks such as unmanned aerial vehicle detection, remote sensing image classification, and cyberbullying detection on social media. He has also explored the integration of artificial intelligence in diagnosing diseases, as indicated by his work on AI methods for Alzheimer's disease diagnosis using neuroimaging and sensor data.

Razaque's research interests extend to network security and the Internet of Things (IoT), with publications addressing DDoS detection in 5G-enabled IoT networks and energy-efficient cloud solutions for IoT. His work also touches upon emerging technologies like blockchain in the context of the Internet of Vehicles. His scholarship metrics include an h-index of 30, 249 total publications, and 3,209 total citations, designating him as a highly cited researcher.

Metrics

  • h-index: 28
  • Publications: 224
  • Citations: 2,919

Selected Publications

  • Comprehensive analysis of Li-Fi technology: positioning algorithms, security vulnerabilities, and future IoT applications (2025)
    6 citations DOI OpenAlex
  • Blockchain-Enabled Smart Contracts and Prioritized Delegated Proof-of-Stake Paradigm for Secure and Scalable Electronic Voting Systems (2025)
    3 citations DOI OpenAlex
  • Enhancing Pharmaceutical Supply Chain Transparency and Security with Blockchain and Big Data Integration (2025)
    6 citations DOI OpenAlex
  • A reinforcement learning and predictive analytics approach for enhancing credit assessment in manufacturing (2025)
    6 citations DOI OpenAlex
  • Review of malicious code detection in data mining applications: challenges, algorithms, and future direction (2025)
    9 citations DOI OpenAlex
  • Advanced Segmentation of Gastrointestinal (GI) Cancer Disease Using a Novel U-MaskNet Model (2024)
    5 citations DOI OpenAlex
  • Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques (2024)
    38 citations DOI OpenAlex
  • A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction (2024)
    3 citations DOI OpenAlex
  • Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0 (2024)
    11 citations DOI OpenAlex
  • Blockchain-enabled heterogeneous 6G supported secure vehicular management system over cloud edge computing (2024)
    16 citations DOI OpenAlex
  • A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis (2024)
    48 citations DOI OpenAlex
  • Deep learning for unmanned aerial vehicles detection: A review (2024)
    126 citations DOI OpenAlex
  • Efficient Internet-of-Things Cyberattack Depletion Using Blockchain-Enabled Software-Defined Networking and 6G Network Technology (2023)
    12 citations DOI OpenAlex
  • Developing Robotic Process Automation to Efficiently Integrate Long-Term Business Process Management (2023)
    13 citations DOI OpenAlex
  • Quantum communication networks: Design, reliability, and security (2023)
    8 citations DOI OpenAlex

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Collaboration Network

115 Collaborators 45 Institutions 17 Countries

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