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Researcher · Pohang University of Science and Technology · South Korea

SeongKu Kang

SeongKu Kang publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Topic Modeling and Advanced Graph Neural Networks.

ORCID 0000-0001-5528-1426 OpenAlex
World rank
#344,504
of 7,710,434 ranked researchers
Rank in South Korea
#2,465
of 162,609
Works
76
Citations
725
Citations per work
9.5
h-index
13
i10-index 17Top 28% in Artificial Intelligence
SeongKu Kang

What does SeongKu Kang research?

SeongKu Kang's work is mostly in Computer Science (85%), Decision Sciences (4%), Biochemistry, Genetics and Molecular Biology (3%).

Physical Sciences: 64 works · 84.6% of their workComputer Science: 64 works · 84.6% of their workArtificial Intelligence: 33 works · 42.8% of their workInformation Systems: 21 works · 27.9% of their workComputer Vision and Pattern Recognition: 9 works · 12.0% of their workComputational Theory and Mathematics: 1 works · 1.9% of their workEverything else: 7 works · 8.7% of their workSocial Sciences: 3 works · 3.8% of their workDecision Sciences: 3 works · 3.8% of their workManagement Science and Operations Research: 3 works · 3.8% of their workLife Sciences: 2 works · 2.9% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 2.9% of their workMolecular Biology: 2 works · 2.9% of their workTHEIR WORKSeongKu Kang76works
Life Sciences3%Physical Sciences85%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 Science6484.6%
  2. Everything else78.7%
    1. Decision Sciences33.8%
    1. Biochemistry, Genetics and Molecular Biology22.9%
  1. 1Artificial Intelligence43% of their works
  2. 2Information Systems28% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Molecular Biology3% of their works
  6. 6Computational Theory and Mathematics2% of their works

Research topics

Which keywords describe SeongKu Kang's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Information Retrieval, Collaborative Filtering, Matrix Factorization, Machine Translation, Word Representation 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.

All 21 words, with their numbers
  1. Neural Networks723 topics
  2. Deep Learning492 topics
  3. Information Retrieval423 topics
  4. Collaborative Filtering361 topic
  5. Matrix Factorization361 topic
  6. Machine Translation241 topic
  7. Word Representation241 topic
  8. Representation Learning232 topics
  9. Semi-Supervised Learning232 topics
  10. Graph Neural Networks131 topic
  11. Knowledge Graph Embedding131 topic
  12. Automatic121 topic
  13. Extraction121 topic
  14. Domain Adaptation101 topic
  15. Transfer Learning101 topic
  16. Search Engines91 topic
  17. User Behavior91 topic
  18. Web Crawling91 topic
  19. Web Data Extraction91 topic
  20. Bandit Optimization71 topic
  21. Bayesian Optimization71 topic

Where does SeongKu Kang work?

SeongKu Kang's main affiliation in the publication record is Pohang University of Science and Technology, South Korea.

How many publications and citations does SeongKu Kang have?

OpenAlex counts 76 works and 725 citations for SeongKu Kang, an h-index of 13, ranking #344,504 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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