Kyungtae Kim Source Confirmed

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

Researcher

Arkansas State University

faculty

6 h-index 19 pubs 228 cited

Research Areas

Advanced Neural Network Applications Network Security and Intrusion Detection Technology Adoption and User Behaviour AI in cancer detection Environmental Monitoring and Analysis

Links

ORCID

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OverviewAI-generated summary

Kyungtae Kim's research investigates the application of artificial intelligence and advanced analytical techniques across diverse fields. His work includes developing AI-enhanced methods for predicting long-term changes in dissolved oxygen concentration in Masan Bay, utilizing intermittent time-series data. Kim also focuses on cybersecurity, specifically exploring enhanced Android malware detection through fine-grained opcode analysis, data augmentation, and zero-day evaluation. His research extends to understanding consumer behavior, examining the impact of game design features on users' purchase intentions and the influence of menu quality on customer satisfaction and relationship continuation in the restaurant industry.

With an h-index of 6 and 19 total publications, Kim has accumulated 228 citations. His recent publications in 2024 and 2025 demonstrate his active engagement with current research challenges in environmental science, cybersecurity, and behavioral economics.

Metrics

  • h-index: 6
  • Publications: 19
  • Citations: 228

Selected Publications

  • Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation (2025) DOI

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