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Researcher · Kyungpook National University · South Korea

Doo-Hyun Choi

Doo-Hyun Choi publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering, on topics such as Industrial Vision Systems and Defect Detection, Vehicle License Plate Recognition and Image Enhancement Techniques.

ORCID 0000-0002-4950-8863 OpenAlex
World rank
#2,811,118
of 7,710,434 ranked researchers
Rank in South Korea
#40,160
of 162,609
Works
136
Citations
1.5k
Citations per work
10.9
h-index
21
i10-index 35Top 12% in Computer Vision and Pattern Recognition
Doo-Hyun Choi

What does Doo-Hyun Choi research?

Doo-Hyun Choi's work is mostly in Computer Science (26%), Engineering (21%), Materials Science (7%).

Physical Sciences: 73 works · 53.5% of their workComputer Science: 35 works · 25.6% of their workComputer Vision and Pattern Recognition: 24 works · 17.6% of their workArtificial Intelligence: 11 works · 8.0% of their workEngineering: 29 works · 21.3% of their workMechanical Engineering: 11 works · 8.0% of their workElectrical and Electronic Engineering: 10 works · 7.2% of their workMedia Technology: 8 works · 6.1% of their workMaterials Science: 9 works · 6.6% of their workMaterials Chemistry: 9 works · 6.6% of their workEverything else: 63 works · 46.5% of their workTHEIR WORKDoo-Hyun Choi136works
Physical Sciences54%

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 Science3525.6%
    2. Engineering2921.3%
    3. Materials Science96.6%
  2. Everything else6346.5%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Artificial Intelligence8% of their works
  3. 3Mechanical Engineering8% of their works
  4. 4Electrical and Electronic Engineering7% of their works
  5. 5Materials Chemistry7% of their works
  6. 6Media Technology6% of their works

Research topics

Which keywords describe Doo-Hyun Choi's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Fabric Defect Detection, Machine Vision, ALPR, Automatic License Plate Recognition, Contrast Enhancement and Dehazing.

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 Learning404 topics
  2. Convolutional Neural Networks172 topics
  3. Fabric Defect Detection141 topic
  4. Machine Vision141 topic
  5. ALPR101 topic
  6. Automatic License Plate Recognition101 topic
  7. Contrast Enhancement91 topic
  8. Dehazing91 topic
  9. Eddy Current Testing91 topic
  10. Non-Destructive Evaluation91 topic
  11. Dielectrics81 topic
  12. Nanocomposites81 topic
  13. Depth Estimation71 topic
  14. Differential Evolution71 topic
  15. Image Recognition71 topic
  16. Object Detection71 topic
  17. Particle Swarm Optimization71 topic
  18. Stereo Vision71 topic

Where does Doo-Hyun Choi work?

Doo-Hyun Choi's main affiliation in the publication record is Kyungpook National University, South Korea.

How many publications and citations does Doo-Hyun Choi have?

OpenAlex counts 136 works and 1,488 citations for Doo-Hyun Choi, an h-index of 21, ranking #2,811,118 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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