Sookyung Kim
Sookyung Kim publishes mostly in Artificial Intelligence, Sociology and Political Science and Information Systems, on topics such as Explainable Artificial Intelligence (XAI), Educational Systems and Policies and Machine Learning in Materials Science.
- World rank
- #1,514,745 of 1,633,909 ranked researchers
- Rank in United States
- #341,754 of 358,040
- Works
- 18
- Citations
- 9
- Citations per work
- 0.5
What does Sookyung Kim research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence26% of their works
- 2Sociology and Political Science17% of their works
- 3Information Systems13% of their works
- 4Materials Chemistry9% of their works
- 5Molecular Biology4% of their works
- 6Safety Research4% of their works
Research topics
- Explainable Artificial Intelligence (XAI)
- Educational Systems and Policies
- Machine Learning in Materials Science
- Protein Structure and Dynamics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Adversarial Robustness in Machine Learning
- Artificial Intelligence in Games
Which keywords describe Sookyung Kim's research?
The keywords of their largest research topics: Machine Learning, Molecular Dynamics, Evolutionary Algorithms, High-Throughput, Interpretable Models, Machine Learning Interpretability, Materials Informatics and Semantic Network Analysis.
- Protein
- Particle Swarm Optimization
- Genetic Programming
- Deep Learning
- Adversarial Examples
- Semantic Network Analysis
- Machine Learning Interpretability
- High-Throughput
- Molecular Dynamics
- Machine Learning
- Evolutionary Algorithms
- Interpretable Models
- Materials Informatics
- Smart Education
- Classification
- Differential Evolution
- Monte Carlo Tree Search
- Procedural Content Generation
- Structure
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 19 words, with their numbers
- Machine Learning43 topics
- Molecular Dynamics32 topics
- Evolutionary Algorithms22 topics
- High-Throughput21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
- Materials Informatics21 topic
- Semantic Network Analysis21 topic
- Smart Education21 topic
- Adversarial Examples11 topic
- Classification11 topic
- Deep Learning11 topic
- Differential Evolution11 topic
- Genetic Programming11 topic
- Monte Carlo Tree Search11 topic
- Particle Swarm Optimization11 topic
- Procedural Content Generation11 topic
- Protein11 topic
- Structure11 topic
Where does Sookyung Kim work?
Sookyung Kim's main affiliation in the publication record is Lawrence Livermore National Laboratory, United States.
How many publications and citations does Sookyung Kim have?
Science Explorer counts 18 works and 9 citations for Sookyung Kim, ranking #1,514,745 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 Sookyung Kim
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