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Researcher · Yonsei University · South Korea

Hyungseob Shin

Hyungseob Shin publishes mostly in Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Neurology, on topics such as Radiomics and Machine Learning in Medical Imaging, Advanced MRI Techniques and Applications and Medical Imaging Techniques and Applications.

ORCID 0000-0001-7936-5165 OpenAlex
World rank
#1,727,722
of 7,710,434 ranked researchers
Rank in South Korea
#20,590
of 162,609
Works
25
Citations
720
Citations per work
28.8
h-index
12
i10-index 13Top 46% in Radiology, Nuclear Medicine and Imaging
Hyungseob Shin

What does Hyungseob Shin research?

Hyungseob Shin's work is mostly in Medicine (50%), Computer Science (8%), Neuroscience (7%).

Health Sciences: 13 works · 50.0% of their workMedicine: 13 works · 50.0% of their workRadiology, Nuclear Medicine and Imaging: 11 works · 45.8% of their workEpidemiology: 1 works · 4.2% of their workEverything else: 8 works · 30.5% of their workPhysical Sciences: 3 works · 12.5% of their workComputer Science: 2 works · 8.3% of their workArtificial Intelligence: 2 works · 8.3% of their workEngineering: 1 works · 4.2% of their workBiomedical Engineering: 1 works · 4.2% of their workLife Sciences: 2 works · 7.0% of their workNeuroscience: 2 works · 7.0% of their workNeurology: 1 works · 4.2% of their workCognitive Neuroscience: 1 works · 2.8% of their workTHEIR WORKHyungseob Shin25works
Life Sciences7%Physical Sciences12%Health Sciences50%

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. Medicine1350.0%
  2. Everything else830.5%
    1. Computer Science28.3%
    2. Engineering14.2%
    1. Neuroscience27.0%
  1. 1Radiology, Nuclear Medicine and Imaging46% of their works
  2. 2Artificial Intelligence8% of their works
  3. 3Neurology4% of their works
  4. 4Biomedical Engineering4% of their works
  5. 5Epidemiology4% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe Hyungseob Shin's research?

The keywords of their largest research topics: Medical Imaging, Deep Learning, Feature Extraction, Machine Learning, Quantitative Analysis, Radiomics, Magnetic Resonance Imaging and Perfusion Imaging.

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. Medical Imaging153 topics
  2. Deep Learning133 topics
  3. Feature Extraction122 topics
  4. Machine Learning122 topics
  5. Quantitative Analysis101 topic
  6. Radiomics101 topic
  7. Magnetic Resonance Imaging81 topic
  8. Perfusion Imaging81 topic
  9. Transfer Learning83 topics
  10. Imaging71 topic
  11. PET/CT71 topic
  12. Diffusion MRI51 topic
  13. White Matter51 topic
  14. COVID-1931 topic
  15. Convolutional Neural Networks31 topic
  16. Domain Adaptation31 topic
  17. Few-Shot Learning31 topic
  18. Meningiomas31 topic
  19. Radiosurgery31 topic
  20. Brain Tumor21 topic
  21. MRI21 topic

Where does Hyungseob Shin work?

Hyungseob Shin's main affiliation in the publication record is Yonsei University, South Korea.

How many publications and citations does Hyungseob Shin have?

OpenAlex counts 25 works and 720 citations for Hyungseob Shin, an h-index of 12, ranking #1,727,722 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.

Discussion

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