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Researcher · Naver (South Korea) · South Korea

Dongyoon Han

Dongyoon Han publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Multimodal Machine Learning Applications.

ORCID 0000-0002-9130-8195 OpenAlex
World rank
#925,514
of 7,710,434 ranked researchers
Rank in South Korea
#8,808
of 162,609
Works
134
Citations
11k
Citations per work
79.0
h-index
28
i10-index 50Top 6.1% in Computer Vision and Pattern Recognition
Dongyoon Han

What does Dongyoon Han research?

Dongyoon Han's work is mostly in Computer Science (63%), Engineering (19%).

Physical Sciences: 109 works · 81.7% of their workComputer Science: 84 works · 62.6% of their workComputer Vision and Pattern Recognition: 52 works · 38.8% of their workArtificial Intelligence: 32 works · 23.8% of their workEngineering: 26 works · 19.1% of their workMechanical Engineering: 9 works · 6.7% of their workElectrical and Electronic Engineering: 7 works · 5.4% of their workBiomedical Engineering: 6 works · 4.4% of their workControl and Systems Engineering: 3 works · 2.6% of their workEverything else: 25 works · 18.3% of their workTHEIR WORKDongyoon Han134works
Physical Sciences82%

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 Science8462.6%
    2. Engineering2619.1%
  2. Everything else2518.3%
  1. 1Computer Vision and Pattern Recognition39% of their works
  2. 2Artificial Intelligence24% of their works
  3. 3Mechanical Engineering7% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Dongyoon Han's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Convolutional Neural Networks, Domain Adaptation, Transfer Learning 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 Learning1116 topics
  2. Neural Networks605 topics
  3. Representation Learning512 topics
  4. Unsupervised Learning512 topics
  5. Convolutional Neural Networks472 topics
  6. Domain Adaptation421 topic
  7. Transfer Learning421 topic
  8. Image Recognition391 topic
  9. Object Detection391 topic
  10. Image Captioning231 topic
  11. Visual Question Answering231 topic
  12. Feature Matching201 topic
  13. Local Descriptors201 topic
  14. Adversarial Examples121 topic
  15. Robustness121 topic
  16. Generative Adversarial Networks91 topic
  17. Image Synthesis91 topic
  18. Anomaly Detection81 topic
  19. Handwriting Recognition81 topic
  20. Text Detection81 topic
  21. Unsupervised81 topic

Where does Dongyoon Han work?

Dongyoon Han's main affiliation in the publication record is Naver (South Korea), South Korea.

How many publications and citations does Dongyoon Han have?

OpenAlex counts 134 works and 10,582 citations for Dongyoon Han, an h-index of 28, ranking #925,514 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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