Lee Sael
Lee Sael publishes mostly in Molecular Biology, Artificial Intelligence and Cancer Research, on topics such as Machine Learning in Bioinformatics, Protein Structure and Dynamics and Bioinformatics and Genomic Networks.
- World rank
- #1,172,658 of 1,633,909 ranked researchers
- Rank in South Korea
- #24,248 of 38,381
- Works
- 26
- Citations
- 48
- Citations per work
- 1.8
What does Lee Sael research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Molecular Biology42% of their works
- 2Artificial Intelligence22% of their works
- 3Cancer Research8% of their works
- 4Computational Theory and Mathematics6% of their works
- 5Computer Vision and Pattern Recognition6% of their works
- 6Sociology and Political Science3% of their works
Research topics
Which keywords describe Lee Sael's research?
The keywords of their largest research topics: Machine Learning, Prediction, Protein, Bioinformatics, Deep Neural Networks, Amino Acid Composition, Gene Set Enrichment Analysis and Molecular Dynamics.
- Self-Organizing Maps
- Neural Networks
- Microarray
- Interpretable Models
- Gene Expression
- Structure
- Molecular Dynamics
- Amino Acid Composition
- Bioinformatics
- Prediction
- Machine Learning
- Protein
- Deep Neural Networks
- Gene Set Enrichment Analysis
- Protein-Protein Interaction Networks
- Subcellular Localization
- Hyperparameter Optimization
- Machine Learning Interpretability
- Molecular Docking
- Noisy Labels
- Virtual Screening
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 21 words, with their numbers
- Machine Learning73 topics
- Prediction62 topics
- Protein62 topics
- Bioinformatics52 topics
- Deep Neural Networks42 topics
- Amino Acid Composition31 topic
- Gene Set Enrichment Analysis31 topic
- Molecular Dynamics31 topic
- Protein-Protein Interaction Networks31 topic
- Structure31 topic
- Subcellular Localization31 topic
- Gene Expression21 topic
- Hyperparameter Optimization21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
- Microarray21 topic
- Molecular Docking21 topic
- Neural Networks21 topic
- Noisy Labels21 topic
- Self-Organizing Maps21 topic
- Virtual Screening21 topic
Where does Lee Sael work?
Lee Sael's main affiliation in the publication record is SUNY Korea, South Korea.
How many publications and citations does Lee Sael have?
Science Explorer counts 26 works and 48 citations for Lee Sael, ranking #1,172,658 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.