Yeong-Tae Song
Yeong-Tae Song publishes mostly in Information Systems, Health Information Management and Computer Networks and Communications, on topics such as Electronic Health Records Systems, Biomedical Text Mining and Ontologies and Educational Robotics and Engineering.
- World rank
- #1,517,727 of 1,633,909 ranked researchers
- Rank in United States
- #342,173 of 358,040
- Works
- 18
- Citations
- 10
- Citations per work
- 0.6
What does Yeong-Tae Song research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Information Systems16% of their works
- 2Health Information Management16% of their works
- 3Computer Networks and Communications9% of their works
- 4Computer Science Applications6% of their works
- 5General Health Professions6% of their works
- 6Artificial Intelligence6% of their works
Research topics
Which keywords describe Yeong-Tae Song's research?
The keywords of their largest research topics: Clinical Decision Support Systems, Electronic Health Records, Distributed Systems, Autonomic Computing, Biomedical Ontologies, Edge Computing, Education and Educational Data Mining.
- Self-Adaptive Systems
- Robotics Programming
- Peer-to-Peer
- Learning Analytics
- Educational Data Mining
- Edge Computing
- Autonomic Computing
- Electronic Health Records
- Clinical Decision Support Systems
- Distributed Systems
- Biomedical Ontologies
- Education
- Internet of Things
- Log Analysis
- Performance Prediction
- Scalable
- Text Mining
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 17 words, with their numbers
- Clinical Decision Support Systems31 topic
- Electronic Health Records31 topic
- Distributed Systems22 topics
- Autonomic Computing11 topic
- Biomedical Ontologies11 topic
- Edge Computing11 topic
- Education11 topic
- Educational Data Mining11 topic
- Internet of Things11 topic
- Learning Analytics11 topic
- Log Analysis11 topic
- Peer-to-Peer11 topic
- Performance Prediction11 topic
- Robotics Programming11 topic
- Scalable11 topic
- Self-Adaptive Systems11 topic
- Text Mining11 topic
Where does Yeong-Tae Song work?
Yeong-Tae Song's main affiliation in the publication record is Towson University, United States.
How many publications and citations does Yeong-Tae Song have?
Science Explorer counts 18 works and 10 citations for Yeong-Tae Song, ranking #1,517,727 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.