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Researcher · Adobe Systems (United States) · United States

Jae Shin Yoon

Jae Shin Yoon publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design, on topics such as Advanced Vision and Imaging, Generative Adversarial Networks and Image Synthesis and Human Pose and Action Recognition.

ORCID 0000-0003-0181-4869 OpenAlex
World rank
#1,002,778
of 7,710,434 ranked researchers
Rank in United States
#327,339
of 1,627,098
Works
46
Citations
858
Citations per work
18.7
h-index
13
i10-index 16Top 30% in Computer Vision and Pattern Recognition
Jae Shin Yoon

What does Jae Shin Yoon research?

Jae Shin Yoon's work is mostly in Computer Science (74%), Engineering (17%).

Physical Sciences: 42 works · 90.7% of their workComputer Science: 34 works · 73.8% of their workComputer Vision and Pattern Recognition: 32 works · 69.2% of their workComputer Graphics and Computer-Aided Design: 2 works · 4.6% of their workEngineering: 8 works · 16.9% of their workComputational Mechanics: 5 works · 10.0% of their workAerospace Engineering: 1 works · 2.3% of their workAutomotive Engineering: 1 works · 2.3% of their workControl and Systems Engineering: 1 works · 2.3% of their workEverything else: 4 works · 9.3% of their workTHEIR WORKJae Shin Yoon46works
Physical Sciences91%

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 Science3473.8%
    2. Engineering816.9%
  2. Everything else49.3%
  1. 1Computer Vision and Pattern Recognition69% of their works
  2. 2Computational Mechanics10% of their works
  3. 3Computer Graphics and Computer-Aided Design5% of their works
  4. 4Control and Systems Engineering2% of their works
  5. 5Automotive Engineering2% of their works
  6. 6Aerospace Engineering2% of their works

Research topics

Which keywords describe Jae Shin Yoon's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Unsupervised Learning, Pose Estimation, Convolutional Neural Networks, Depth Estimation, Stereo Vision and Action Recognition.

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
  1. Deep Learning666 topics
  2. Convolutional Networks312 topics
  3. Unsupervised Learning312 topics
  4. Pose Estimation222 topics
  5. Convolutional Neural Networks202 topics
  6. Depth Estimation171 topic
  7. Stereo Vision171 topic
  8. Action Recognition141 topic
  9. Generative Adversarial Networks141 topic
  10. Image Synthesis141 topic
  11. Spatiotemporal Features141 topic
  12. 3D Reconstruction131 topic
  13. Point Clouds131 topic
  14. Object Tracking121 topic
  15. Visual Tracking121 topic
  16. Face Recognition81 topic
  17. Facial Landmark Detection81 topic
  18. Computer Graphics61 topic
  19. Visualization61 topic
  20. Contrast Enhancement51 topic
  21. Dehazing51 topic

Where does Jae Shin Yoon work?

Jae Shin Yoon's main affiliation in the publication record is Adobe Systems (United States), United States.

How many publications and citations does Jae Shin Yoon have?

OpenAlex counts 46 works and 858 citations for Jae Shin Yoon, an h-index of 13, ranking #1,002,778 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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