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Researcher · University of Technology Sydney · Australia

Ivor Wai-Hung Tsang

Ivor Wai-Hung Tsang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Domain Adaptation and Few-Shot Learning, Face and Expression Recognition and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0001-8095-4637 OpenAlex
World rank
#31,645
of 7,710,434 ranked researchers
Rank in Australia
#899
of 140,210
Works
492
Citations
19k
Citations per work
37.7
h-index
68
i10-index 200Top 0.3% in Artificial Intelligence
Ivor Wai-Hung Tsang

What does Ivor Wai-Hung Tsang research?

Ivor Wai-Hung Tsang's work is mostly in Computer Science (75%), Engineering (3%), Biochemistry, Genetics and Molecular Biology (1%).

Physical Sciences: 387 works · 78.6% of their workComputer Science: 370 works · 75.3% of their workArtificial Intelligence: 215 works · 43.8% of their workComputer Vision and Pattern Recognition: 131 works · 26.6% of their workInformation Systems: 12 works · 2.5% of their workSignal Processing: 12 works · 2.4% of their workEngineering: 16 works · 3.3% of their workComputational Mechanics: 16 works · 3.3% of their workEverything else: 98 works · 20.0% of their workLife Sciences: 7 works · 1.4% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 1.4% of their workMolecular Biology: 7 works · 1.4% of their workTHEIR WORKIvor Wai-HungTsang492works
Life Sciences1%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 Science37075.3%
    2. Engineering163.3%
  2. Everything else9820.0%
    1. Biochemistry, Genetics and Molecular Biology71.4%
  1. 1Artificial Intelligence44% of their works
  2. 2Computer Vision and Pattern Recognition27% of their works
  3. 3Computational Mechanics3% of their works
  4. 4Information Systems2% of their works
  5. 5Signal Processing2% of their works
  6. 6Molecular Biology1% of their works

Research topics

Which keywords describe Ivor Wai-Hung Tsang's research?

The keywords of their largest research topics: Deep Learning, Meta-Learning, Semi-Supervised Learning, Feature Selection, Sparse Representation, Domain Adaptation, Transfer Learning and Dimensionality Reduction.

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. Deep Learning1613 topics
  2. Meta-Learning1482 topics
  3. Semi-Supervised Learning1352 topics
  4. Feature Selection1222 topics
  5. Sparse Representation1192 topics
  6. Domain Adaptation891 topic
  7. Transfer Learning891 topic
  8. Dimensionality Reduction761 topic
  9. Face Recognition761 topic
  10. Feature Matching711 topic
  11. Local Descriptors711 topic
  12. Hyperparameter Optimization591 topic
  13. Noisy Labels591 topic
  14. Active Learning461 topic
  15. Machine Learning461 topic
  16. Multi-label Learning461 topic
  17. Text Classification461 topic
  18. Image Captioning441 topic
  19. Visual Question Answering441 topic
  20. Compressed Sensing431 topic
  21. Signal Recovery431 topic

Where does Ivor Wai-Hung Tsang work?

Ivor Wai-Hung Tsang's main affiliation in the publication record is University of Technology Sydney, Australia.

How many publications and citations does Ivor Wai-Hung Tsang have?

OpenAlex counts 492 works and 18,555 citations for Ivor Wai-Hung Tsang, an h-index of 68, ranking #31,645 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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