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Researcher · Inha University · South Korea

Jin-Guk Jung

Jin-Guk Jung publishes mostly in Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Data Mining Algorithms and Applications, Recommender Systems and Techniques and Semantic Web and Ontologies.

OpenAlex
World rank
#5,607,243
of 7,710,434 ranked researchers
Rank in South Korea
#103,693
of 162,609
Works
18
Citations
120
Citations per work
6.7
h-index
6
i10-index 3Top 46% in Information Systems
Jin-Guk Jung

What does Jin-Guk Jung research?

Jin-Guk Jung's work is mostly in Computer Science (74%), Physics and Astronomy (6%).

Physical Sciences: 14 works · 80.0% of their workComputer Science: 13 works · 74.0% of their workInformation Systems: 4 works · 24.0% of their workArtificial Intelligence: 4 works · 22.0% of their workComputer Vision and Pattern Recognition: 4 works · 20.0% of their workComputational Theory and Mathematics: 1 works · 4.0% of their workComputer Networks and Communications: 1 works · 4.0% of their workPhysics and Astronomy: 1 works · 6.0% of their workStatistical and Nonlinear Physics: 1 works · 6.0% of their workEverything else: 4 works · 20.0% of their workTHEIR WORKJin-Guk Jung18works
Physical Sciences80%

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 Science1374.0%
    2. Physics and Astronomy16.0%
  2. Everything else420.0%
  1. 1Information Systems24% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Computer Vision and Pattern Recognition20% of their works
  4. 4Statistical and Nonlinear Physics6% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe Jin-Guk Jung's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Data Mining, Frequent Patterns, Collaborative Filtering, Matrix Factorization, Community Structure and Content-Based Retrieval.

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 Learning72 topics
  2. Neural Networks62 topics
  3. Data Mining51 topic
  4. Frequent Patterns51 topic
  5. Collaborative Filtering41 topic
  6. Matrix Factorization41 topic
  7. Community Structure31 topic
  8. Content-Based Retrieval31 topic
  9. Feature Matching31 topic
  10. Local Descriptors31 topic
  11. Network Dynamics31 topic
  12. Ontology31 topic
  13. Semantic Web31 topic
  14. Video Summarization31 topic
  15. Automatic21 topic
  16. Extraction21 topic
  17. Granular Computing21 topic
  18. Rough Sets21 topic

Where does Jin-Guk Jung work?

Jin-Guk Jung's main affiliation in the publication record is Inha University, South Korea.

How many publications and citations does Jin-Guk Jung have?

OpenAlex counts 18 works and 120 citations for Jin-Guk Jung, an h-index of 6, ranking #5,607,243 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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