Dae‐Won Kim
Dae‐Won Kim publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Advanced Clustering Algorithms Research, Text and Document Classification Technologies and Face and Expression Recognition.
- World rank
- #165,422 of 1,633,909 ranked researchers
- Rank in South Korea
- #1,209 of 38,381
- Works
- 60
- Citations
- 265
- Citations per work
- 4.4
What does Dae‐Won Kim research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence23% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Molecular Biology7% of their works
- 4Mechanical Engineering7% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Management Science and Operations Research4% of their works
Research topics
- Advanced Clustering Algorithms Research
- Text and Document Classification Technologies
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Machine Learning in Bioinformatics
- Advanced Computational Techniques and Applications
- Bayesian Modeling and Causal Inference
- Non-Destructive Testing Techniques
Which keywords describe Dae‐Won Kim's research?
The keywords of their largest research topics: Machine Learning, Feature Selection, Local Binary Patterns, Support Vector Machines, Clustering Algorithms, Dimensionality Reduction, Face Recognition and K-means.
- Wavelet Analysis
- Protein
- Expert Systems
- Causal Inference
- Shape Matching
- Text Classification
- K-means
- Dimensionality Reduction
- Support Vector Machines
- Feature Selection
- Machine Learning
- Local Binary Patterns
- Clustering Algorithms
- Face Recognition
- Multi-label Learning
- Content-Based Image Retrieval
- Bayesian Networks
- Eddy Current Testing
- Non-Destructive Evaluation
- Subcellular Localization
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 20 words, with their numbers
- Machine Learning94 topics
- Feature Selection82 topics
- Local Binary Patterns72 topics
- Support Vector Machines62 topics
- Clustering Algorithms41 topic
- Dimensionality Reduction41 topic
- Face Recognition41 topic
- K-means41 topic
- Multi-label Learning41 topic
- Text Classification41 topic
- Content-Based Image Retrieval31 topic
- Shape Matching31 topic
- Bayesian Networks21 topic
- Causal Inference21 topic
- Eddy Current Testing21 topic
- Expert Systems21 topic
- Non-Destructive Evaluation21 topic
- Protein21 topic
- Subcellular Localization21 topic
- Wavelet Analysis21 topic
Where does Dae‐Won Kim work?
Dae‐Won Kim's main affiliation in the publication record is Chung-Ang University, South Korea.
How many publications and citations does Dae‐Won Kim have?
Science Explorer counts 60 works and 265 citations for Dae‐Won Kim, ranking #165,422 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 Dae‐Won Kim
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