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Researcher · Chungbuk National University · South Korea

Young-Seob Jeong

Young-Seob Jeong publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Text Analysis Techniques.

ORCID 0000-0002-9441-2940 OpenAlex
World rank
#3,349,969
of 7,710,434 ranked researchers
Rank in South Korea
#51,083
of 162,609
Works
102
Citations
1k
Citations per work
10.0
h-index
16
i10-index 27Top 20% in Artificial Intelligence
Young-Seob Jeong

What does Young-Seob Jeong research?

Young-Seob Jeong's work is mostly in Computer Science (66%).

Physical Sciences: 67 works · 65.5% of their workComputer Science: 67 works · 65.5% of their workArtificial Intelligence: 38 works · 37.3% of their workComputer Vision and Pattern Recognition: 8 works · 7.4% of their workInformation Systems: 7 works · 6.7% of their workSignal Processing: 5 works · 5.3% of their workComputer Networks and Communications: 5 works · 4.9% of their workComputational Theory and Mathematics: 4 works · 3.9% of their workEverything else: 35 works · 34.5% of their workTHEIR WORKYoung-Seob Jeong102works
Physical Sciences66%

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 Science6765.5%
  2. Everything else3534.5%
  1. 1Artificial Intelligence37% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Information Systems7% of their works
  4. 4Signal Processing5% of their works
  5. 5Computer Networks and Communications5% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe Young-Seob Jeong's research?

The keywords of their largest research topics: Neural Networks, Machine Learning, Deep Learning, Machine Translation, Word Representation, IoT Security, Neural Machine Translation and Statistical Machine Translation.

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 20 words, with their numbers
  1. Neural Networks412 topics
  2. Machine Learning404 topics
  3. Deep Learning303 topics
  4. Machine Translation251 topic
  5. Word Representation251 topic
  6. IoT Security222 topics
  7. Neural Machine Translation181 topic
  8. Statistical Machine Translation181 topic
  9. Automatic161 topic
  10. Extraction161 topic
  11. Android Malware121 topic
  12. Detection121 topic
  13. Intrusion Detection101 topic
  14. Markov Decision Processes101 topic
  15. Molecular Docking101 topic
  16. Network Security101 topic
  17. Spoken Dialogue Systems101 topic
  18. Virtual Screening101 topic
  19. Opinion Mining81 topic
  20. Sentiment Analysis81 topic

Where does Young-Seob Jeong work?

Young-Seob Jeong's main affiliation in the publication record is Chungbuk National University, South Korea.

How many publications and citations does Young-Seob Jeong have?

OpenAlex counts 102 works and 1,022 citations for Young-Seob Jeong, an h-index of 16, ranking #3,349,969 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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