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Researcher · Gachon University · South Korea

NamGyu Jung

NamGyu Jung publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Generative Adversarial Networks and Image Synthesis.

ORCID 0000-0001-8740-1760 OpenAlex
World rank
#5,411,888
of 7,710,434 ranked researchers
Rank in South Korea
#98,643
of 162,609
Works
15
Citations
13
Citations per work
0.9
h-index
2
i10-index 0Top 99.1% in Computer Vision and Pattern Recognition
NamGyu Jung

What does NamGyu Jung research?

NamGyu Jung's work is mostly in Computer Science (58%), Engineering (11%), Decision Sciences (7%).

Physical Sciences: 10 works · 68.9% of their workComputer Science: 9 works · 57.8% of their workComputer Vision and Pattern Recognition: 5 works · 31.1% of their workArtificial Intelligence: 4 works · 26.7% of their workEngineering: 2 works · 11.1% of their workElectrical and Electronic Engineering: 1 works · 6.7% of their workControl and Systems Engineering: 1 works · 4.4% of their workEverything else: 3 works · 20.0% of their workSocial Sciences: 2 works · 11.1% of their workDecision Sciences: 1 works · 6.7% of their workManagement Science and Operations Research: 1 works · 6.7% of their workBusiness, Management and Accounting: 1 works · 4.4% of their workMarketing: 1 works · 4.4% of their workTHEIR WORKNamGyu Jung15works
Physical Sciences69%Social Sciences11%

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 Science957.8%
    2. Engineering211.1%
  2. Everything else320.0%
    1. Decision Sciences16.7%
    2. Business, Management and Accounting14.4%
  1. 1Computer Vision and Pattern Recognition31% of their works
  2. 2Artificial Intelligence27% of their works
  3. 3Electrical and Electronic Engineering7% of their works
  4. 4Management Science and Operations Research7% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Marketing4% of their works

Research topics

Which keywords describe NamGyu Jung's research?

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

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 Learning115 topics
  2. Neural Networks104 topics
  3. Representation Learning83 topics
  4. Unsupervised Learning62 topics
  5. Semi-Supervised Learning52 topics
  6. Image Captioning41 topic
  7. Visual Question Answering41 topic
  8. Domain Adaptation31 topic
  9. Generative Adversarial Networks31 topic
  10. Image Synthesis31 topic
  11. Transfer Learning31 topic
  12. Classification21 topic
  13. Graph Neural Networks21 topic
  14. Imbalanced Data21 topic
  15. Knowledge Graph Embedding21 topic
  16. Machine Translation21 topic
  17. Word Representation21 topic
  18. Anomaly Detection11 topic
  19. Opinion Mining11 topic
  20. Sentiment Analysis11 topic
  21. Unsupervised11 topic

Where does NamGyu Jung work?

NamGyu Jung's main affiliation in the publication record is Gachon University, South Korea.

How many publications and citations does NamGyu Jung have?

OpenAlex counts 15 works and 13 citations for NamGyu Jung, an h-index of 2, ranking #5,411,888 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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