Sang-Gil Kang
Sang-Gil Kang publishes mostly in Statistics and Probability, Information Systems and Statistics, Probability and Uncertainty, on topics such as Advanced Statistical Methods and Models, Statistical Distribution Estimation and Applications and Recommender Systems and Techniques.
- World rank
- #1,302,961 of 1,633,909 ranked researchers
- Rank in South Korea
- #28,513 of 38,381
- Works
- 15
- Citations
- 6
- Citations per work
- 0.4
What does Sang-Gil Kang research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Statistics and Probability71% of their works
- 2Information Systems14% of their works
- 3Statistics, Probability and Uncertainty14% of their works
Research topics
Which keywords describe Sang-Gil Kang's research?
The keywords of their largest research topics: Generalized Exponential, Multicollinearity, Regression Analysis, Skew Distributions, Bayesian Modeling, Collaborative Filtering, Healthcare Improvement and Matrix Factorization.
- Statistical Process Control
- Matrix Factorization
- Collaborative Filtering
- Skew Distributions
- Multicollinearity
- Generalized Exponential
- Regression Analysis
- Bayesian Modeling
- Healthcare Improvement
- Multiple Imputation
Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.
All 10 words, with their numbers
- Generalized Exponential21 topic
- Multicollinearity21 topic
- Regression Analysis21 topic
- Skew Distributions21 topic
- Bayesian Modeling11 topic
- Collaborative Filtering11 topic
- Healthcare Improvement11 topic
- Matrix Factorization11 topic
- Multiple Imputation11 topic
- Statistical Process Control11 topic
Where does Sang-Gil Kang work?
Sang-Gil Kang's main affiliation in the publication record is Sangji University, South Korea.
How many publications and citations does Sang-Gil Kang have?
Science Explorer counts 15 works and 6 citations for Sang-Gil Kang, ranking #1,302,961 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Other researchers named Sang-Gil Kang
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