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Researcher · Nvidia (United States) · United States

Wonmin Byeon

Wonmin Byeon publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Generative Adversarial Networks and Image Synthesis, Advanced Neural Network Applications and Multimodal Machine Learning Applications.

ORCID 0000-0002-4780-4749 OpenAlex
World rank
#1,105,305
of 7,710,434 ranked researchers
Rank in United States
#357,485
of 1,627,098
Works
78
Citations
2.7k
Citations per work
34.4
h-index
16
i10-index 24Top 21% in Computer Vision and Pattern Recognition
Wonmin Byeon

What does Wonmin Byeon research?

Wonmin Byeon's work is mostly in Computer Science (75%), Physics and Astronomy (4%), Engineering (2%).

Physical Sciences: 63 works · 80.9% of their workComputer Science: 59 works · 75.2% of their workComputer Vision and Pattern Recognition: 42 works · 54.1% of their workArtificial Intelligence: 12 works · 15.8% of their workSignal Processing: 4 works · 5.3% of their workPhysics and Astronomy: 3 works · 3.8% of their workStatistical and Nonlinear Physics: 3 works · 3.8% of their workEngineering: 1 works · 1.9% of their workComputational Mechanics: 1 works · 1.9% of their workEverything else: 13 works · 17.2% of their workHealth Sciences: 1 works · 1.9% of their workMedicine: 1 works · 1.9% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 1.9% of their workTHEIR WORKWonmin Byeon78works
Physical Sciences81%Health Sciences2%

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 Science5975.2%
    2. Physics and Astronomy33.8%
    3. Engineering11.9%
  2. Everything else1317.2%
    1. Medicine11.9%
  1. 1Computer Vision and Pattern Recognition54% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Signal Processing5% of their works
  4. 4Statistical and Nonlinear Physics4% of their works
  5. 5Radiology, Nuclear Medicine and Imaging2% of their works
  6. 6Computational Mechanics2% of their works

Research topics

Which keywords describe Wonmin Byeon's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Convolutional Neural Networks, Generative Adversarial Networks, Image Synthesis and Image 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. 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 21 words, with their numbers
  1. Deep Learning756 topics
  2. Neural Networks393 topics
  3. Representation Learning272 topics
  4. Unsupervised Learning272 topics
  5. Convolutional Neural Networks262 topics
  6. Generative Adversarial Networks171 topic
  7. Image Synthesis171 topic
  8. Image Recognition151 topic
  9. Object Detection151 topic
  10. Image Captioning141 topic
  11. Visual Question Answering141 topic
  12. Audio Signal Classification111 topic
  13. Music Information Retrieval111 topic
  14. Domain Adaptation101 topic
  15. Feature Matching101 topic
  16. Local Descriptors101 topic
  17. Transfer Learning101 topic
  18. Backpropagation Learning81 topic
  19. Content-Based Retrieval81 topic
  20. Self-Organizing Maps81 topic
  21. Video Summarization81 topic

Where does Wonmin Byeon work?

Wonmin Byeon's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Wonmin Byeon have?

OpenAlex counts 78 works and 2,680 citations for Wonmin Byeon, an h-index of 16, ranking #1,105,305 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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