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Researcher · Microsoft Research Asia (China) · China

Heung‐Yeung Shum

Heung‐Yeung Shum publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics, on topics such as Advanced Vision and Imaging, Computer Graphics and Visualization Techniques and 3D Shape Modeling and Analysis.

ORCID 0000-0002-4684-911X OpenAlex
World rank
#9,758
of 7,710,434 ranked researchers
Rank in China
#513
of 978,568
Works
402
Citations
33k
Citations per work
83.3
h-index
88
i10-index 270Top 0.1% in Computer Vision and Pattern Recognition
Heung‐Yeung Shum

What does Heung‐Yeung Shum research?

Heung‐Yeung Shum's work is mostly in Computer Science (71%), Engineering (14%).

Physical Sciences: 343 works · 85.3% of their workComputer Science: 286 works · 71.2% of their workComputer Vision and Pattern Recognition: 193 works · 48.0% of their workComputer Graphics and Computer-Aided Design: 60 works · 15.0% of their workArtificial Intelligence: 20 works · 4.9% of their workSignal Processing: 13 works · 3.3% of their workEngineering: 57 works · 14.1% of their workComputational Mechanics: 37 works · 9.2% of their workControl and Systems Engineering: 20 works · 4.9% of their workEverything else: 59 works · 14.7% of their workTHEIR WORKHeung‐Yeung Shum402works
Physical Sciences85%

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 Science28671.2%
    2. Engineering5714.1%
  2. Everything else5914.7%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Computer Graphics and Computer-Aided Design15% of their works
  3. 3Computational Mechanics9% of their works
  4. 4Control and Systems Engineering5% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Heung‐Yeung Shum's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Unsupervised Learning, Depth Estimation, Stereo Vision, Computer Graphics, Visualization and 3D Reconstruction.

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. Deep Learning2956 topics
  2. Convolutional Networks2392 topics
  3. Unsupervised Learning2172 topics
  4. Depth Estimation1841 topic
  5. Stereo Vision1841 topic
  6. Computer Graphics1561 topic
  7. Visualization1561 topic
  8. 3D Reconstruction921 topic
  9. Point Clouds921 topic
  10. Generative Adversarial Networks882 topics
  11. Neural Networks882 topics
  12. Image551 topic
  13. Super-Resolution551 topic
  14. Feature Matching461 topic
  15. Local Descriptors461 topic
  16. Contrast Enhancement391 topic
  17. Dehazing391 topic
  18. Image Inpainting331 topic
  19. Image Synthesis331 topic
  20. Face Recognition301 topic
  21. Facial Landmark Detection301 topic

Where does Heung‐Yeung Shum work?

Heung‐Yeung Shum's main affiliation in the publication record is Microsoft Research Asia (China), China.

How many publications and citations does Heung‐Yeung Shum have?

OpenAlex counts 402 works and 33,495 citations for Heung‐Yeung Shum, an h-index of 88, ranking #9,758 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.

Other researchers named Heung‐Yeung Shum

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