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Researcher · SUNY Korea · South Korea

Jay Hoon Jung

Jay Hoon Jung publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Adversarial Robustness in Machine Learning, Advanced Neural Network Applications and Generative Adversarial Networks and Image Synthesis.

ORCID 0000-0002-9495-0693 OpenAlex
World rank
#6,252,711
of 7,710,434 ranked researchers
Rank in South Korea
#120,957
of 162,609
Works
16
Citations
47
Citations per work
2.9
h-index
3
i10-index 1Top 95% in Artificial Intelligence
Jay Hoon Jung

What does Jay Hoon Jung research?

Jay Hoon Jung's work is mostly in Computer Science (67%), Biochemistry, Genetics and Molecular Biology (4%), Social Sciences (4%).

Physical Sciences: 11 works · 67.3% of their workComputer Science: 11 works · 67.3% of their workArtificial Intelligence: 5 works · 32.6% of their workComputer Vision and Pattern Recognition: 4 works · 26.1% of their workComputational Theory and Mathematics: 1 works · 4.3% of their workSoftware: 1 works · 4.3% of their workEverything else: 4 works · 24.1% of their workLife Sciences: 1 works · 4.3% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.3% of their workMolecular Biology: 1 works · 4.3% of their workSocial Sciences: 1 works · 4.3% of their workSocial Sciences: 1 works · 4.3% of their workTransportation: 1 works · 4.3% of their workTHEIR WORKJay Hoon Jung16works
Life Sciences4%Physical Sciences67%Social Sciences4%

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 Science1167.3%
  2. Everything else424.1%
    1. Biochemistry, Genetics and Molecular Biology14.3%
    1. Social Sciences14.3%
  1. 1Artificial Intelligence33% of their works
  2. 2Computer Vision and Pattern Recognition26% of their works
  3. 3Computational Theory and Mathematics4% of their works
  4. 4Software4% of their works
  5. 5Transportation4% of their works
  6. 6Molecular Biology4% of their works

Research topics

Which keywords describe Jay Hoon Jung's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Adversarial Examples, Convolutional Neural Networks, Image Recognition, Robustness and Representation Learning.

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 Learning205 topics
  2. Neural Networks123 topics
  3. Machine Learning82 topics
  4. Adversarial Examples71 topic
  5. Convolutional Neural Networks71 topic
  6. Image Recognition71 topic
  7. Robustness71 topic
  8. Representation Learning52 topics
  9. Unsupervised Learning52 topics
  10. Generative Adversarial Networks31 topic
  11. Image Synthesis31 topic
  12. Backpropagation Learning21 topic
  13. Domain Adaptation21 topic
  14. Interpretable Models21 topic
  15. Machine Learning Interpretability21 topic
  16. Model Checking21 topic
  17. Self-Organizing Maps21 topic
  18. Symbolic Model Checker21 topic
  19. Transfer Learning21 topic
  20. Bioimage Analysis11 topic
  21. High-Content Screening11 topic

Where does Jay Hoon Jung work?

Jay Hoon Jung's main affiliation in the publication record is SUNY Korea, South Korea.

How many publications and citations does Jay Hoon Jung have?

OpenAlex counts 16 works and 47 citations for Jay Hoon Jung, an h-index of 3, ranking #6,252,711 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.

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