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Researcher · Dongguk University · South Korea

Kang Ryoung Park

Kang Ryoung Park publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, on topics such as Biometric Identification and Security, Face recognition and analysis and Gaze Tracking and Assistive Technology.

ORCID 0000-0002-1214-9510 OpenAlex
World rank
#173,135
of 7,710,434 ranked researchers
Rank in South Korea
#988
of 162,609
Works
318
Citations
8.2k
Citations per work
25.7
h-index
49
i10-index 174Top 1.2% in Computer Vision and Pattern Recognition
Kang Ryoung Park

What does Kang Ryoung Park research?

Kang Ryoung Park's work is mostly in Computer Science (59%), Medicine (5%), Engineering (3%).

Physical Sciences: 197 works · 62.1% of their workComputer Science: 187 works · 58.8% of their workComputer Vision and Pattern Recognition: 102 works · 32.0% of their workSignal Processing: 43 works · 13.4% of their workHuman-Computer Interaction: 28 works · 8.7% of their workArtificial Intelligence: 15 works · 4.7% of their workEngineering: 10 works · 3.3% of their workMedia Technology: 10 works · 3.3% of their workEverything else: 105 works · 33.0% of their workHealth Sciences: 16 works · 4.9% of their workMedicine: 16 works · 4.9% of their workRadiology, Nuclear Medicine and Imaging: 16 works · 4.9% of their workTHEIR WORKKang Ryoung Park318works
Physical Sciences62%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 Science18758.8%
    2. Engineering103.3%
  2. Everything else10533.0%
    1. Medicine164.9%
  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Signal Processing13% of their works
  3. 3Human-Computer Interaction9% of their works
  4. 4Radiology, Nuclear Medicine and Imaging5% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Kang Ryoung Park's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Authentication, Security, Biometric Recognition, Privacy, Face Recognition and Facial Landmark Detection.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Deep Learning1444 topics
  2. Convolutional Neural Networks1243 topics
  3. Authentication1232 topics
  4. Security1232 topics
  5. Biometric Recognition961 topic
  6. Privacy961 topic
  7. Face Recognition661 topic
  8. Facial Landmark Detection661 topic
  9. Eye Tracking551 topic
  10. Gaze Estimation551 topic
  11. Machine Learning432 topics
  12. Image Processing412 topics
  13. Object Tracking351 topic
  14. Visual Tracking351 topic
  15. Biometrics271 topic
  16. Passwords271 topic
  17. Histopathology Images231 topic
  18. Medical Image Analysis231 topic
  19. Autofocusing211 topic
  20. Depth Estimation211 topic
  21. Plant Disease Detection201 topic
  22. Smart Farming201 topic

Where does Kang Ryoung Park work?

Kang Ryoung Park's main affiliation in the publication record is Dongguk University, South Korea.

How many publications and citations does Kang Ryoung Park have?

OpenAlex counts 318 works and 8,176 citations for Kang Ryoung Park, an h-index of 49, ranking #173,135 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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 Kang Ryoung Park

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.

Discussion

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