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Researcher · Yonsei University · South Korea

Kibeom Hong

Kibeom Hong publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, on topics such as Generative Adversarial Networks and Image Synthesis, Domain Adaptation and Few-Shot Learning and Multimodal Machine Learning Applications.

ORCID 0000-0003-2366-6318 OpenAlex
World rank
#2,086,357
of 7,710,434 ranked researchers
Rank in South Korea
#26,555
of 162,609
Works
31
Citations
505
Citations per work
16.3
h-index
10
i10-index 11Top 45% in Computer Vision and Pattern Recognition
Kibeom Hong

What does Kibeom Hong research?

Kibeom Hong's work is mostly in Computer Science (83%), Neuroscience (8%).

Physical Sciences: 26 works · 82.6% of their workComputer Science: 26 works · 82.6% of their workComputer Vision and Pattern Recognition: 17 works · 55.8% of their workArtificial Intelligence: 5 works · 15.1% of their workComputer Graphics and Computer-Aided Design: 1 works · 4.7% of their workComputer Networks and Communications: 1 works · 3.5% of their workSignal Processing: 1 works · 3.5% of their workEverything else: 3 works · 9.3% of their workLife Sciences: 3 works · 8.1% of their workNeuroscience: 3 works · 8.1% of their workCognitive Neuroscience: 3 works · 8.1% of their workTHEIR WORKKibeom Hong31works
Life Sciences8%Physical Sciences83%

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 Science2682.6%
  2. Everything else39.3%
    1. Neuroscience38.1%
  1. 1Computer Vision and Pattern Recognition56% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Cognitive Neuroscience8% of their works
  4. 4Computer Graphics and Computer-Aided Design5% of their works
  5. 5Signal Processing4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Kibeom Hong's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Generative Adversarial Networks, Image Synthesis, Domain Adaptation, Image Captioning, Transfer Learning 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.

All 18 words, with their numbers
  1. Deep Learning192 topics
  2. Neural Networks192 topics
  3. Generative Adversarial Networks121 topic
  4. Image Synthesis121 topic
  5. Domain Adaptation71 topic
  6. Image Captioning71 topic
  7. Transfer Learning71 topic
  8. Visual Question Answering71 topic
  9. Computer Graphics41 topic
  10. Content-Based Image Retrieval41 topic
  11. Content-Based Retrieval41 topic
  12. Shape Matching41 topic
  13. Video Summarization41 topic
  14. Visualization41 topic
  15. Aesthetic Perception31 topic
  16. Brain-Computer Interfaces31 topic
  17. EEG Analysis31 topic
  18. Neuroaesthetics31 topic

Where does Kibeom Hong work?

Kibeom Hong's main affiliation in the publication record is Yonsei University, South Korea.

How many publications and citations does Kibeom Hong have?

OpenAlex counts 31 works and 505 citations for Kibeom Hong, an h-index of 10, ranking #2,086,357 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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