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Researcher · University of Aizu · Japan

Jungpil Shin

Jungpil Shin publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, on topics such as Hand Gesture Recognition Systems, Handwritten Text Recognition Techniques and Human Pose and Action Recognition.

ORCID 0000-0002-7476-2468 OpenAlex
World rank
#171,149
of 7,710,434 ranked researchers
Rank in Japan
#1,244
of 383,136
Works
402
Citations
5.8k
Citations per work
14.3
h-index
39
i10-index 142Top 2.5% in Computer Vision and Pattern Recognition
Jungpil Shin

What does Jungpil Shin research?

Jungpil Shin's work is mostly in Computer Science (41%), Engineering (8%), Neuroscience (5%).

Physical Sciences: 196 works · 48.8% of their workComputer Science: 164 works · 40.7% of their workComputer Vision and Pattern Recognition: 89 works · 22.1% of their workArtificial Intelligence: 41 works · 10.2% of their workHuman-Computer Interaction: 34 works · 8.4% of their workEngineering: 33 works · 8.1% of their workBiomedical Engineering: 21 works · 5.1% of their workControl and Systems Engineering: 12 works · 3.0% of their workEverything else: 185 works · 45.9% of their workLife Sciences: 21 works · 5.3% of their workNeuroscience: 21 works · 5.3% of their workCognitive Neuroscience: 21 works · 5.3% of their workTHEIR WORKJungpil Shin402works
Life Sciences5%Physical Sciences49%

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 Science16440.7%
    2. Engineering338.1%
  2. Everything else18545.9%
    1. Neuroscience215.3%
  1. 1Computer Vision and Pattern Recognition22% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Human-Computer Interaction8% of their works
  4. 4Cognitive Neuroscience5% of their works
  5. 5Biomedical Engineering5% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Jungpil Shin's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Sign Language, Gesture Recognition, Human-Computer Interaction, Handwriting Recognition, Text Detection and Action Recognition.

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 19 words, with their numbers
  1. Deep Learning1674 topics
  2. Neural Networks1272 topics
  3. Sign Language1032 topics
  4. Gesture Recognition751 topic
  5. Human-Computer Interaction751 topic
  6. Handwriting Recognition521 topic
  7. Text Detection521 topic
  8. Action Recognition421 topic
  9. Pose Estimation421 topic
  10. Gait Recognition311 topic
  11. Human Identification311 topic
  12. Gesture281 topic
  13. Language Acquisition281 topic
  14. Brain-Computer Interfaces251 topic
  15. EEG Analysis251 topic
  16. Feature Matching191 topic
  17. Local Descriptors191 topic
  18. Content-Based Image Retrieval181 topic
  19. Shape Matching181 topic

Where does Jungpil Shin work?

Jungpil Shin's main affiliation in the publication record is University of Aizu, Japan.

How many publications and citations does Jungpil Shin have?

OpenAlex counts 402 works and 5,767 citations for Jungpil Shin, an h-index of 39, ranking #171,149 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.

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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