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Researcher · University of Massachusetts Amherst · United States

Jong-Chyi Su

Jong-Chyi Su publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Cardiology and Cardiovascular Medicine, on topics such as Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-7933-8308 OpenAlex
World rank
#2,091,644
of 7,710,434 ranked researchers
Rank in United States
#631,684
of 1,627,098
Works
44
Citations
709
Citations per work
16.1
h-index
14
i10-index 17Top 27% in Computer Vision and Pattern Recognition
Jong-Chyi Su

What does Jong-Chyi Su research?

Jong-Chyi Su's work is mostly in Computer Science (58%), Biochemistry, Genetics and Molecular Biology (8%), Medicine (7%).

Physical Sciences: 27 works · 61.1% of their workComputer Science: 25 works · 57.6% of their workComputer Vision and Pattern Recognition: 17 works · 38.1% of their workArtificial Intelligence: 9 works · 19.5% of their workEngineering: 2 works · 3.5% of their workComputational Mechanics: 2 works · 3.5% of their workEverything else: 10 works · 23.8% of their workLife Sciences: 4 works · 8.0% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 8.0% of their workMolecular Biology: 2 works · 5.3% of their workCancer Research: 1 works · 2.7% of their workHealth Sciences: 3 works · 7.1% of their workMedicine: 3 works · 7.1% of their workCardiology and Cardiovascular Medicine: 3 works · 7.1% of their workTHEIR WORKJong-Chyi Su44works
Life Sciences8%Physical Sciences61%Health Sciences7%

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 Science2557.6%
    2. Engineering23.5%
  2. Everything else1023.8%
    1. Biochemistry, Genetics and Molecular Biology48.0%
    1. Medicine37.1%
  1. 1Computer Vision and Pattern Recognition38% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Cardiology and Cardiovascular Medicine7% of their works
  4. 4Molecular Biology5% of their works
  5. 5Computational Mechanics4% of their works
  6. 6Cancer Research3% of their works

Research topics

Which keywords describe Jong-Chyi Su's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Domain Adaptation, Transfer Learning, Image Captioning, Visual Question Answering, Convolutional Neural Networks and Feature Matching.

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 19 words, with their numbers
  1. Deep Learning223 topics
  2. Unsupervised Learning212 topics
  3. Domain Adaptation171 topic
  4. Transfer Learning171 topic
  5. Image Captioning121 topic
  6. Visual Question Answering121 topic
  7. Convolutional Neural Networks92 topics
  8. Feature Matching51 topic
  9. Image Recognition51 topic
  10. Local Descriptors51 topic
  11. Object Detection51 topic
  12. Depth Estimation41 topic
  13. Leukemia Classification41 topic
  14. Malaria Parasite Detection41 topic
  15. RNA-Seq41 topic
  16. Stereo Vision41 topic
  17. sequence alignment41 topic
  18. Cancer31 topic
  19. Long Noncoding RNAs31 topic

Where does Jong-Chyi Su work?

Jong-Chyi Su's main affiliation in the publication record is University of Massachusetts Amherst, United States.

How many publications and citations does Jong-Chyi Su have?

OpenAlex counts 44 works and 709 citations for Jong-Chyi Su, an h-index of 14, ranking #2,091,644 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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