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Researcher · Kao Corporation (Japan) · Japan

Byungseok Roh

Byungseok Roh publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Image and Video Retrieval Techniques.

OpenAlex
World rank
#1,297,380
of 7,710,434 ranked researchers
Rank in Japan
#19,388
of 383,136
Works
24
Citations
803
Citations per work
33.5
h-index
10
i10-index 11Top 45% in Computer Vision and Pattern Recognition
Byungseok Roh

What does Byungseok Roh research?

Byungseok Roh's work is mostly in Computer Science (80%), Medicine (8%), Engineering (6%).

Physical Sciences: 21 works · 85.9% of their workComputer Science: 19 works · 80.3% of their workComputer Vision and Pattern Recognition: 12 works · 50.7% of their workArtificial Intelligence: 7 works · 29.6% of their workEngineering: 1 works · 5.6% of their workAerospace Engineering: 1 works · 2.8% of their workIndustrial and Manufacturing Engineering: 1 works · 2.8% of their workHealth Sciences: 2 works · 8.4% of their workMedicine: 2 works · 8.4% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 5.6% of their workPulmonary and Respiratory Medicine: 1 works · 2.8% of their workEverything else: 1 works · 5.7% of their workTHEIR WORKByungseok Roh24works
Physical Sciences86%Health Sciences8%

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
    1. Computer Science1980.3%
    2. Engineering15.6%
    1. Medicine28.4%
  3. Everything else15.7%
  1. 1Computer Vision and Pattern Recognition51% of their works
  2. 2Artificial Intelligence30% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Pulmonary and Respiratory Medicine3% of their works
  5. 5Aerospace Engineering3% of their works
  6. 6Industrial and Manufacturing Engineering3% of their works

Research topics

Which keywords describe Byungseok Roh's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Domain Adaptation, Transfer Learning, Feature Matching and Local Descriptors.

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 19 words, with their numbers
  1. Deep Learning355 topics
  2. Neural Networks202 topics
  3. Image Captioning151 topic
  4. Visual Question Answering151 topic
  5. Domain Adaptation141 topic
  6. Transfer Learning141 topic
  7. Feature Matching101 topic
  8. Local Descriptors101 topic
  9. Convolutional Neural Networks82 topics
  10. Image Recognition61 topic
  11. Object Detection61 topic
  12. Machine Translation51 topic
  13. Word Representation51 topic
  14. CT Screening21 topic
  15. Fabric Defect Detection21 topic
  16. Lung Cancer21 topic
  17. Machine Vision21 topic
  18. Object Tracking21 topic
  19. Visual Tracking21 topic

Where does Byungseok Roh work?

Byungseok Roh's main affiliation in the publication record is Kao Corporation (Japan), Japan.

How many publications and citations does Byungseok Roh have?

OpenAlex counts 24 works and 803 citations for Byungseok Roh, an h-index of 10, ranking #1,297,380 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.

Discussion

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