Kyungtae Kim Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Kyungtae Kim's research interests encompass the application of artificial intelligence and data analysis to diverse fields. His work includes developing enhanced Android malware detection systems utilizing fine-grained opcode analysis and data augmentation. Kim has also investigated the impact of game design features on user purchase intentions and explored how menu quality in unlimited refill pork specialty restaurants influences customer satisfaction and relationship continuation, with a focus on franchise operations. Additionally, he has contributed to predicting long-term changes in dissolved oxygen concentration in Masan Bay using AI-enhanced analysis of intermittent time series data.
Kim's scholarly output includes 18 publications, with a current h-index of 6 and a total of 229 citations. He has collaborated with Christopher Chadwick and Caiden Chadwick at Arkansas State University on shared publications. Kim remains an active researcher, with his most recent publication dating to 2025.
Metrics
- h-index: 6
- Publications: 18
- Citations: 233
Selected Publications
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Enhancing deep hashing with graph filters and autoencoder-based embeddings (2026)
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Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation (2025)
Collaboration Network
Top Collaborators
- AI Enhanced Prediction of Long Term Change in Bottom Dissolved Oxygen Concentration Using Intermittent Time Series Data Observed at Masan Bay
- AI Enhanced Prediction of Long Term Change in Bottom Dissolved Oxygen Concentration Using Intermittent Time Series Data Observed at Masan Bay
- AI Enhanced Prediction of Long Term Change in Bottom Dissolved Oxygen Concentration Using Intermittent Time Series Data Observed at Masan Bay
- The impact of menu quality at unlimited refill pork specialty restaurants on satisfaction and intention to continue the relationship : Focusing on franchise companies
- The Study of the Impact of Game Design Features on Users' Purchase Intention
- Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation
- Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation
- Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation
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