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Researcher · Microsoft (United States) · United States

Sing Bing Kang

Sing Bing Kang publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, on topics such as Advanced Vision and Imaging, Computer Graphics and Visualization Techniques and Image Enhancement Techniques.

ORCID 0000-0003-2016-2915 OpenAlex
World rank
#19,103
of 7,710,434 ranked researchers
Rank in United States
#6,921
of 1,627,098
Works
263
Citations
18k
Citations per work
66.6
h-index
71
i10-index 163Top 0.3% in Computer Vision and Pattern Recognition
Sing Bing Kang

What does Sing Bing Kang research?

Sing Bing Kang's work is mostly in Computer Science (65%), Engineering (14%), Agricultural and Biological Sciences (2%).

Physical Sciences: 208 works · 79.2% of their workComputer Science: 172 works · 65.3% of their workComputer Vision and Pattern Recognition: 150 works · 56.9% of their workComputer Graphics and Computer-Aided Design: 22 works · 8.4% of their workEngineering: 37 works · 13.9% of their workMedia Technology: 18 works · 6.7% of their workAerospace Engineering: 12 works · 4.5% of their workControl and Systems Engineering: 7 works · 2.7% of their workEverything else: 49 works · 18.6% of their workLife Sciences: 6 works · 2.2% of their workAgricultural and Biological Sciences: 6 works · 2.2% of their workPlant Science: 6 works · 2.2% of their workTHEIR WORKSing Bing Kang263works
Life Sciences2%Physical Sciences79%

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 Science17265.3%
    2. Engineering3713.9%
  2. Everything else4918.6%
    1. Agricultural and Biological Sciences62.2%
  1. 1Computer Vision and Pattern Recognition57% of their works
  2. 2Computer Graphics and Computer-Aided Design8% of their works
  3. 3Media Technology7% of their works
  4. 4Aerospace Engineering4% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Plant Science2% of their works

Research topics

Which keywords describe Sing Bing Kang's research?

The keywords of their largest research topics: Convolutional Networks, Depth Estimation, Optical Flow, Stereo Vision, Deep Learning, Image Processing, Neural Networks and Computer Graphics.

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 21 words, with their numbers
  1. Convolutional Networks2142 topics
  2. Depth Estimation2032 topics
  3. Optical Flow1651 topic
  4. Stereo Vision1651 topic
  5. Deep Learning1313 topics
  6. Image Processing922 topics
  7. Neural Networks872 topics
  8. Computer Graphics611 topic
  9. Visualization611 topic
  10. Contrast Enhancement541 topic
  11. Dehazing541 topic
  12. Image491 topic
  13. Super-Resolution491 topic
  14. Autofocusing381 topic
  15. Microscopy381 topic
  16. Camera Calibration331 topic
  17. Structured Light331 topic
  18. 3D Mapping321 topic
  19. SLAM321 topic
  20. Feature Matching281 topic
  21. Local Descriptors281 topic

Where does Sing Bing Kang work?

Sing Bing Kang's main affiliation in the publication record is Microsoft (United States), United States.

How many publications and citations does Sing Bing Kang have?

OpenAlex counts 263 works and 17,510 citations for Sing Bing Kang, an h-index of 71, ranking #19,103 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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