J. K. Kim
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
J. K. Kim's research focuses on data-driven modeling of health behaviors, particularly in the domains of nutrition and exercise. This work involves the application of predictive analytics to understand and forecast outcomes related to these behaviors. Kim has published on topics such as time-series prediction for sales, yield, and fitness performance, indicating a methodology applicable across various fields. The researcher's scholarly output includes 12 publications, with a total of 156 citations and an h-index of 5.
Metrics
- h-index: 5
- Publications: 12
- Citations: 156
Selected Publications
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Data-Driven Health Behavior Modeling across Nutrition and Exercise Domains (2025)
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Time-Series Prediction of Sales, Yield, and Fitness Performance (2025)
Collaboration Network
Top Collaborators
- Time-Series Prediction of Sales, Yield, and Fitness Performance
- Data-Driven Health Behavior Modeling across Nutrition and Exercise Domains
- Time-Series Prediction of Sales, Yield, and Fitness Performance
- Time-Series Prediction of Sales, Yield, and Fitness Performance
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