Yongtae Do
Yongtae Do publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, on topics such as Advanced Vision and Imaging, Video Surveillance and Tracking Methods and Optical measurement and interference techniques.
- World rank
- #3,833,436 of 7,710,434 ranked researchers
- Rank in South Korea
- #61,644 of 162,609
- Works
- 54
- Citations
- 208
- Citations per work
- 3.9
What does Yongtae Do research?
Yongtae Do's work is mostly in Computer Science (50%), Engineering (28%).
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 Sciences4277.7%
- Computer Science2750.0%
- Engineering1527.7%
- Everything else1222.3%
- 1Computer Vision and Pattern Recognition50% of their works
- 2Aerospace Engineering9% of their works
- 3Media Technology8% of their works
- 4Industrial and Manufacturing Engineering5% of their works
- 5Electrical and Electronic Engineering3% of their works
- 6Safety, Risk, Reliability and Quality3% of their works
Research topics
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Optical measurement and interference techniques
- Robotics and Sensor-Based Localization
- Image Processing Techniques and Applications
- Image and Object Detection Techniques
- Industrial Vision Systems and Defect Detection
- Fire Detection and Safety Systems
Which keywords describe Yongtae Do's research?
The keywords of their largest research topics: Depth Estimation, Convolutional Neural Networks, Deep Learning, Optical Flow, Stereo Vision, Object Tracking, Visual Tracking and Image Processing.
- Smoke Detection
- Fabric Defect Detection
- Hough Transform
- Autofocusing
- Real-Time Detection
- 3D Mapping
- Camera Calibration
- Image Processing
- Object Tracking
- Optical Flow
- Convolutional Neural Networks
- Depth Estimation
- Deep Learning
- Stereo Vision
- Visual Tracking
- Machine Vision
- Structured Light
- Computer Vision
- SLAM
- Microscopy
- Line Detection
- Fire Detection
- Texture Analysis
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 23 words, with their numbers
- Depth Estimation322 topics
- Convolutional Neural Networks262 topics
- Deep Learning262 topics
- Optical Flow221 topic
- Stereo Vision221 topic
- Object Tracking211 topic
- Visual Tracking211 topic
- Image Processing152 topics
- Machine Vision152 topics
- Camera Calibration131 topic
- Structured Light131 topic
- 3D Mapping111 topic
- Computer Vision112 topics
- Real-Time Detection112 topics
- SLAM111 topic
- Autofocusing101 topic
- Microscopy101 topic
- Hough Transform61 topic
- Line Detection61 topic
- Fabric Defect Detection51 topic
- Fire Detection51 topic
- Smoke Detection51 topic
- Texture Analysis51 topic
Where does Yongtae Do work?
Yongtae Do's main affiliation in the publication record is Daegu University, South Korea.
How many publications and citations does Yongtae Do have?
OpenAlex counts 54 works and 208 citations for Yongtae Do, an h-index of 8, ranking #3,833,436 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.
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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