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Researcher · Sejong University · South Korea

Seong G. Kong

Seong G. Kong publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering, on topics such as Remote-Sensing Image Classification, Advanced Image Fusion Techniques and Image and Signal Denoising Methods.

ORCID 0000-0002-0335-6526 OpenAlex
World rank
#98,575
of 7,710,434 ranked researchers
Rank in South Korea
#458
of 162,609
Works
135
Citations
5.5k
Citations per work
40.6
h-index
40
i10-index 80Top 2.3% in Computer Vision and Pattern Recognition
Seong G. Kong

What does Seong G. Kong research?

Seong G. Kong's work is mostly in Computer Science (35%), Engineering (33%).

Physical Sciences: 92 works · 68.5% of their workComputer Science: 48 works · 35.3% of their workComputer Vision and Pattern Recognition: 38 works · 27.8% of their workArtificial Intelligence: 10 works · 7.5% of their workEngineering: 45 works · 33.2% of their workMedia Technology: 20 works · 14.7% of their workBiomedical Engineering: 12 works · 9.0% of their workElectrical and Electronic Engineering: 7 works · 5.1% of their workAerospace Engineering: 6 works · 4.4% of their workEverything else: 43 works · 31.5% of their workTHEIR WORKSeong G. Kong135works
Physical Sciences68%

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 Science4835.3%
    2. Engineering4533.2%
  2. Everything else4331.5%
  1. 1Computer Vision and Pattern Recognition28% of their works
  2. 2Media Technology15% of their works
  3. 3Biomedical Engineering9% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Aerospace Engineering4% of their works

Research topics

Which keywords describe Seong G. Kong's research?

The keywords of their largest research topics: Deep Learning, Remote Sensing, Hyperspectral, Wavelet Transform, Convolutional Neural Networks, Classification, Image Analysis and Hyperspectral 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 22 words, with their numbers
  1. Deep Learning835 topics
  2. Remote Sensing663 topics
  3. Hyperspectral512 topics
  4. Wavelet Transform392 topics
  5. Convolutional Neural Networks312 topics
  6. Classification291 topic
  7. Image Analysis291 topic
  8. Hyperspectral Imaging282 topics
  9. Image Fusion221 topic
  10. Multispectral221 topic
  11. Image Denoising171 topic
  12. Sparse Representations171 topic
  13. Imaging Spectroscopy151 topic
  14. Polarimetry151 topic
  15. Object Tracking141 topic
  16. Visual Tracking141 topic
  17. Contrast Enhancement121 topic
  18. Dehazing121 topic
  19. Anomaly Detection111 topic
  20. Multivariate Calibration111 topic
  21. Near-Infrared Spectroscopy111 topic
  22. Unsupervised111 topic

Where does Seong G. Kong work?

Seong G. Kong's main affiliation in the publication record is Sejong University, South Korea.

How many publications and citations does Seong G. Kong have?

OpenAlex counts 135 works and 5,480 citations for Seong G. Kong, an h-index of 40, ranking #98,575 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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