Jae-Gon Yoo
Jae-Gon Yoo publishes mostly in Mechanical Engineering, Automotive Engineering and Computer Networks and Communications, on topics such as Internet of Things and Social Network Interactions, Autonomous Vehicle Technology and Safety and Innovation in Digital Healthcare Systems.
- World rank
- #6,974,196 of 7,710,434 ranked researchers
- Rank in South Korea
- #140,752 of 162,609
- Works
- 20
- Citations
- 27
- Citations per work
- 1.4
What does Jae-Gon Yoo research?
Jae-Gon Yoo's work is mostly in Engineering (43%), Computer Science (10%), Health Professions (6%).
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 Sciences1153.1%
- Engineering942.9%
- Computer Science210.2%
- Everything else840.8%
- Health Sciences16.1%
- Health Professions16.1%
- 1Mechanical Engineering14% of their works
- 2Automotive Engineering14% of their works
- 3Computer Networks and Communications10% of their works
- 4Aerospace Engineering8% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Health Information Management6% of their works
Research topics
- Internet of Things and Social Network Interactions
- Autonomous Vehicle Technology and Safety
- Innovation in Digital Healthcare Systems
- Video Surveillance and Tracking Methods
- Satellite Communication Systems
- Vehicle Dynamics and Control Systems
- Electric and Hybrid Vehicle Technologies
- Engineering Applied Research
Which keywords describe Jae-Gon Yoo's research?
The keywords of their largest research topics: IoT Applications, Autonomous Vehicles, Deep Learning, Internet of Things, Social Networks, Electric Vehicles, Model Predictive Control and Driver Assistance Systems.
- Vehicle Dynamics
- Satellite Communications
- LEO Satellite Constellation
- Energy Storage Systems
- Control Systems
- Ontology-based
- Driver Assistance Systems
- Electric Vehicles
- Internet of Things
- Autonomous Vehicles
- IoT Applications
- Deep Learning
- Social Networks
- Model Predictive Control
- Healthcare
- Trajectory Prediction
- Design Optimization
- Hybrid Vehicles
- Object Tracking
- Structural Analysis
- Visual Tracking
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
- IoT Applications72 topics
- Autonomous Vehicles52 topics
- Deep Learning52 topics
- Internet of Things51 topic
- Social Networks51 topic
- Electric Vehicles42 topics
- Model Predictive Control42 topics
- Driver Assistance Systems31 topic
- Healthcare31 topic
- Ontology-based31 topic
- Trajectory Prediction31 topic
- Control Systems21 topic
- Design Optimization21 topic
- Energy Storage Systems21 topic
- Hybrid Vehicles21 topic
- LEO Satellite Constellation21 topic
- Object Tracking21 topic
- Satellite Communications21 topic
- Structural Analysis21 topic
- Vehicle Dynamics21 topic
- Visual Tracking21 topic
Where does Jae-Gon Yoo work?
Jae-Gon Yoo's main affiliation in the publication record is Hyundai Motors (South Korea), South Korea.
How many publications and citations does Jae-Gon Yoo have?
OpenAlex counts 20 works and 27 citations for Jae-Gon Yoo, an h-index of 2, ranking #6,974,196 of 7,710,434 researchers worldwide on the quality 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 have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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