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Researcher · Korea University · South Korea

Keunho Byeon

Keunho Byeon publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Gene expression and cancer classification and Single-cell and spatial transcriptomics.

ORCID 0009-0006-9840-3933 OpenAlex
World rank
#2,199,329
of 7,710,434 ranked researchers
Rank in South Korea
#28,560
of 162,609
Works
16
Citations
72
Citations per work
4.5
h-index
4
i10-index 3Top 90% in Artificial Intelligence
Keunho Byeon

What does Keunho Byeon research?

Keunho Byeon's work is mostly in Computer Science (38%), Biochemistry, Genetics and Molecular Biology (22%), Medicine (16%).

Physical Sciences: 6 works · 37.5% of their workComputer Science: 6 works · 37.5% of their workArtificial Intelligence: 4 works · 23.2% of their workComputer Vision and Pattern Recognition: 2 works · 14.3% of their workEverything else: 4 works · 24.9% of their workLife Sciences: 3 works · 21.5% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 21.5% of their workMolecular Biology: 3 works · 16.1% of their workBiophysics: 1 works · 5.4% of their workHealth Sciences: 3 works · 16.1% of their workMedicine: 3 works · 16.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 10.7% of their workOncology: 1 works · 5.4% of their workTHEIR WORKKeunho Byeon16works
Life Sciences22%Physical Sciences38%Health Sciences16%

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 Science637.5%
  2. Everything else424.9%
    1. Biochemistry, Genetics and Molecular Biology321.5%
    1. Medicine316.1%
  1. 1Artificial Intelligence23% of their works
  2. 2Molecular Biology16% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4Radiology, Nuclear Medicine and Imaging11% of their works
  5. 5Oncology5% of their works
  6. 6Biophysics5% of their works

Research topics

Which keywords describe Keunho Byeon's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Gene Expression, Medical Image Analysis, Computer-Aided Detection, Histopathology Images, Feature Extraction and Image Processing.

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 22 words, with their numbers
  1. Machine Learning205 topics
  2. Deep Learning102 topics
  3. Gene Expression103 topics
  4. Medical Image Analysis102 topics
  5. Computer-Aided Detection71 topic
  6. Histopathology Images71 topic
  7. Feature Extraction62 topics
  8. Image Processing62 topics
  9. Data Analysis41 topic
  10. Microarray41 topic
  11. Single-Cell41 topic
  12. Transcriptomics41 topic
  13. Bioimage Analysis31 topic
  14. Colorectal Cancer31 topic
  15. High-Content Screening31 topic
  16. Leukemia Classification31 topic
  17. Malaria Parasite Detection31 topic
  18. Medical Imaging31 topic
  19. Radiomics31 topic
  20. Screening31 topic
  21. Cancer21 topic
  22. MicroRNA21 topic

Where does Keunho Byeon work?

Keunho Byeon's main affiliation in the publication record is Korea University, South Korea.

How many publications and citations does Keunho Byeon have?

OpenAlex counts 16 works and 72 citations for Keunho Byeon, an h-index of 4, ranking #2,199,329 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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