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Researcher · Pohang University of Science and Technology · South Korea

Suha Kwak

Suha Kwak publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning and Multimodal Machine Learning Applications.

ORCID 0000-0002-4567-9091 OpenAlex
World rank
#168,343
of 7,710,434 ranked researchers
Rank in South Korea
#958
of 162,609
Works
148
Citations
5.9k
Citations per work
39.7
h-index
32
i10-index 60Top 4.3% in Computer Vision and Pattern Recognition
Suha Kwak

What does Suha Kwak research?

Suha Kwak's work is mostly in Computer Science (80%), Engineering (4%), Medicine (3%).

Physical Sciences: 124 works · 83.9% of their workComputer Science: 118 works · 79.8% of their workComputer Vision and Pattern Recognition: 77 works · 51.9% of their workArtificial Intelligence: 38 works · 25.7% of their workSignal Processing: 3 works · 2.2% of their workEngineering: 6 works · 4.1% of their workControl and Systems Engineering: 3 works · 2.2% of their workAerospace Engineering: 3 works · 1.9% of their workEverything else: 19 works · 12.9% of their workHealth Sciences: 5 works · 3.2% of their workMedicine: 5 works · 3.2% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 3.2% of their workTHEIR WORKSuha Kwak148works
Physical Sciences84%Health Sciences3%

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 Science11879.8%
    2. Engineering64.1%
  2. Everything else1912.9%
    1. Medicine53.2%
  1. 1Computer Vision and Pattern Recognition52% of their works
  2. 2Artificial Intelligence26% of their works
  3. 3Radiology, Nuclear Medicine and Imaging3% of their works
  4. 4Signal Processing2% of their works
  5. 5Control and Systems Engineering2% of their works
  6. 6Aerospace Engineering2% of their works

Research topics

Which keywords describe Suha Kwak's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Neural Networks, Unsupervised Learning, Convolutional Neural Networks, Action Recognition, Pose Estimation and Domain Adaptation.

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. Deep Learning1686 topics
  2. Convolutional Networks532 topics
  3. Neural Networks512 topics
  4. Unsupervised Learning502 topics
  5. Convolutional Neural Networks492 topics
  6. Action Recognition431 topic
  7. Pose Estimation431 topic
  8. Domain Adaptation401 topic
  9. Transfer Learning401 topic
  10. Image Captioning311 topic
  11. Visual Question Answering311 topic
  12. Image Recognition271 topic
  13. Object Detection271 topic
  14. Feature Matching251 topic
  15. Local Descriptors251 topic
  16. Object Tracking221 topic
  17. Visual Tracking221 topic
  18. Anomaly Detection201 topic
  19. Unsupervised201 topic
  20. Depth Estimation101 topic
  21. Stereo Vision101 topic

Where does Suha Kwak work?

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

How many publications and citations does Suha Kwak have?

OpenAlex counts 148 works and 5,870 citations for Suha Kwak, an h-index of 32, ranking #168,343 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.

Other researchers named Suha Kwak

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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