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Researcher · Naver (South Korea) · South Korea

Sanghyuk Chun

Sanghyuk Chun publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications and Advanced Neural Network Applications.

ORCID 0000-0002-4533-2610 OpenAlex
World rank
#737,559
of 7,710,434 ranked researchers
Rank in South Korea
#6,513
of 162,609
Works
91
Citations
7.8k
Citations per work
85.4
h-index
22
i10-index 33Top 11% in Computer Vision and Pattern Recognition
Sanghyuk Chun

What does Sanghyuk Chun research?

Sanghyuk Chun's work is mostly in Computer Science (85%), Social Sciences (2%), Neuroscience (1%).

Physical Sciences: 77 works · 85.1% of their workComputer Science: 77 works · 85.1% of their workComputer Vision and Pattern Recognition: 44 works · 48.1% of their workArtificial Intelligence: 29 works · 32.1% of their workSignal Processing: 3 works · 3.8% of their workComputer Graphics and Computer-Aided Design: 1 works · 1.1% of their workEverything else: 10 works · 11.5% of their workSocial Sciences: 2 works · 2.3% of their workSocial Sciences: 2 works · 2.3% of their workSafety Research: 2 works · 2.3% of their workLife Sciences: 1 works · 1.1% of their workNeuroscience: 1 works · 1.1% of their workCognitive Neuroscience: 1 works · 1.1% of their workTHEIR WORKSanghyuk Chun91works
Life Sciences1%Physical Sciences85%Social 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 Science7785.1%
  2. Everything else1011.5%
    1. Social Sciences22.3%
    1. Neuroscience11.1%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Artificial Intelligence32% of their works
  3. 3Signal Processing4% of their works
  4. 4Safety Research2% of their works
  5. 5Cognitive Neuroscience1% of their works
  6. 6Computer Graphics and Computer-Aided Design1% of their works

Research topics

Which keywords describe Sanghyuk Chun's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Domain Adaptation, Transfer Learning, Image Captioning and Visual Question Answering.

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 20 words, with their numbers
  1. Deep Learning884 topics
  2. Neural Networks513 topics
  3. Representation Learning482 topics
  4. Unsupervised Learning482 topics
  5. Domain Adaptation351 topic
  6. Transfer Learning351 topic
  7. Image Captioning311 topic
  8. Visual Question Answering311 topic
  9. Convolutional Neural Networks251 topic
  10. Image Recognition251 topic
  11. Feature Matching191 topic
  12. Local Descriptors191 topic
  13. Generative Adversarial Networks131 topic
  14. Image Synthesis131 topic
  15. Content-Based Retrieval101 topic
  16. Video Summarization101 topic
  17. Neural Machine Translation81 topic
  18. Statistical Machine Translation81 topic
  19. Machine Translation71 topic
  20. Word Representation71 topic

Where does Sanghyuk Chun work?

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

How many publications and citations does Sanghyuk Chun have?

OpenAlex counts 91 works and 7,769 citations for Sanghyuk Chun, an h-index of 22, ranking #737,559 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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