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Researcher · Electronics and Telecommunications Research Institute · South Korea

Hochul Shin

Hochul Shin publishes mostly in Computer Vision and Pattern Recognition, Biomedical Engineering and Ocean Engineering, on topics such as Video Surveillance and Tracking Methods, Face and Expression Recognition and Anomaly Detection Techniques and Applications.

ORCID 0000-0001-6987-3406 OpenAlex
World rank
#4,739,582
of 7,710,434 ranked researchers
Rank in South Korea
#82,415
of 162,609
Works
41
Citations
391
Citations per work
9.5
h-index
10
i10-index 10Top 45% in Computer Vision and Pattern Recognition
Hochul Shin

What does Hochul Shin research?

Hochul Shin's work is mostly in Computer Science (44%), Engineering (15%), Medicine (5%).

Physical Sciences: 24 works · 58.9% of their workComputer Science: 18 works · 43.8% of their workComputer Vision and Pattern Recognition: 13 works · 32.1% of their workArtificial Intelligence: 3 works · 6.3% of their workComputer Networks and Communications: 2 works · 5.4% of their workEngineering: 6 works · 15.1% of their workBiomedical Engineering: 3 works · 8.0% of their workOcean Engineering: 3 works · 7.1% of their workEverything else: 15 works · 35.7% of their workHealth Sciences: 2 works · 5.4% of their workMedicine: 2 works · 5.4% of their workSurgery: 2 works · 5.4% of their workTHEIR WORKHochul Shin41works
Physical Sciences59%Health Sciences5%

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 Science1843.8%
    2. Engineering615.1%
  2. Everything else1535.7%
    1. Medicine25.4%
  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Biomedical Engineering8% of their works
  3. 3Ocean Engineering7% of their works
  4. 4Artificial Intelligence6% of their works
  5. 5Surgery5% of their works
  6. 6Computer Networks and Communications5% of their works

Research topics

Which keywords describe Hochul Shin's research?

The keywords of their largest research topics: Deep Learning, Local Binary Patterns, Dimensionality Reduction, Face Recognition, Object Tracking, Visual Tracking, Anomaly Detection and Unsupervised.

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 Learning153 topics
  2. Local Binary Patterns92 topics
  3. Dimensionality Reduction61 topic
  4. Face Recognition61 topic
  5. Object Tracking61 topic
  6. Visual Tracking61 topic
  7. Anomaly Detection51 topic
  8. Unsupervised51 topic
  9. Depth Estimation41 topic
  10. Evacuation41 topic
  11. Feature Matching41 topic
  12. Local Descriptors41 topic
  13. Pedestrian Dynamics41 topic
  14. Stereo Vision41 topic
  15. Content-Based Image Retrieval31 topic
  16. Cross-modal Plasticity31 topic
  17. Shape Matching31 topic
  18. Tactile Perception31 topic

Where does Hochul Shin work?

Hochul Shin's main affiliation in the publication record is Electronics and Telecommunications Research Institute, South Korea.

How many publications and citations does Hochul Shin have?

OpenAlex counts 41 works and 391 citations for Hochul Shin, an h-index of 10, ranking #4,739,582 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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