Koji Tsuda
Koji Tsuda publishes mostly in Molecular Biology, Materials Chemistry and Artificial Intelligence, on topics such as Machine Learning in Materials Science, Computational Drug Discovery Methods and Gene expression and cancer classification.
- World rank
- #310,131 of 7,710,434 ranked researchers
- Rank in Japan
- #2,681 of 383,136
- Works
- 411
- Citations
- 14k
- Citations per work
- 35.0
What does Koji Tsuda research?
Koji Tsuda's work is mostly in Computer Science (28%), Biochemistry, Genetics and Molecular Biology (20%), Materials Science (14%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences18645.2%
- Computer Science11528.1%
- Materials Science5513.5%
- Engineering153.6%
- Everything else14334.9%
- Life Sciences8219.9%
- 1Molecular Biology20% of their works
- 2Materials Chemistry14% of their works
- 3Artificial Intelligence13% of their works
- 4Computational Theory and Mathematics10% of their works
- 5Computer Vision and Pattern Recognition5% of their works
- 6Electrical and Electronic Engineering4% of their works
Research topics
Which keywords describe Koji Tsuda's research?
The keywords of their largest research topics: Machine Learning, Data Mining, Molecular Dynamics, High-Throughput, Materials Informatics, Molecular Docking, Virtual Screening and Bioinformatics.
- Self-Organizing Maps
- Structure
- Frequent Patterns
- Subcellular Localization
- Protein-Protein Interaction Networks
- Microarray
- Protein
- Bioinformatics
- Molecular Docking
- High-Throughput
- Data Mining
- Machine Learning
- Molecular Dynamics
- Materials Informatics
- Virtual Screening
- Prediction
- Gene Expression
- Gene Set Enrichment Analysis
- Amino Acid Composition
- Association Rules
- Force Field
- Neural Networks
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 22 words, with their numbers
- Machine Learning2455 topics
- Data Mining1132 topics
- Molecular Dynamics1112 topics
- High-Throughput911 topic
- Materials Informatics911 topic
- Molecular Docking771 topic
- Virtual Screening771 topic
- Bioinformatics552 topics
- Prediction432 topics
- Protein432 topics
- Gene Expression321 topic
- Microarray321 topic
- Gene Set Enrichment Analysis301 topic
- Protein-Protein Interaction Networks301 topic
- Amino Acid Composition231 topic
- Subcellular Localization231 topic
- Association Rules221 topic
- Frequent Patterns221 topic
- Force Field201 topic
- Structure201 topic
- Neural Networks191 topic
- Self-Organizing Maps191 topic
Where does Koji Tsuda work?
Koji Tsuda's main affiliation in the publication record is The University of Tokyo, Japan.
How many publications and citations does Koji Tsuda have?
OpenAlex counts 411 works and 14,383 citations for Koji Tsuda, an h-index of 56, ranking #310,131 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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 Koji Tsuda
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