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Researcher · Multimedia University · Malaysia

Anh Cat Le Ngo

Anh Cat Le Ngo publishes mostly in Computer Vision and Pattern Recognition, Human-Computer Interaction and Experimental and Cognitive Psychology, on topics such as Visual Attention and Saliency Detection, Gaze Tracking and Assistive Technology and Emotion and Mood Recognition.

OpenAlex
World rank
#1,328,530
of 7,710,434 ranked researchers
Rank in Malaysia
#4,867
of 41,196
Works
33
Citations
870
Citations per work
26.4
h-index
13
i10-index 14Top 30% in Computer Vision and Pattern Recognition
Anh Cat Le Ngo

What does Anh Cat Le Ngo research?

Anh Cat Le Ngo's work is mostly in Computer Science (62%), Psychology (8%), Engineering (6%).

Physical Sciences: 23 works · 68.4% of their workComputer Science: 21 works · 62.3% of their workComputer Vision and Pattern Recognition: 16 works · 48.0% of their workHuman-Computer Interaction: 3 works · 10.2% of their workSignal Processing: 1 works · 4.1% of their workEngineering: 2 works · 6.1% of their workMedia Technology: 2 works · 6.1% of their workEverything else: 6 works · 19.3% of their workSocial Sciences: 3 works · 8.2% of their workPsychology: 3 works · 8.2% of their workExperimental and Cognitive Psychology: 3 works · 8.2% of their workLife Sciences: 1 works · 4.1% of their workNeuroscience: 1 works · 4.1% of their workSensory Systems: 1 works · 4.1% of their workTHEIR WORKAnh Cat Le Ngo33works
Life Sciences4%Physical Sciences68%Social Sciences8%

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 Science2162.3%
    2. Engineering26.1%
  2. Everything else619.3%
    1. Psychology38.2%
    1. Neuroscience14.1%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Human-Computer Interaction10% of their works
  3. 3Experimental and Cognitive Psychology8% of their works
  4. 4Media Technology6% of their works
  5. 5Sensory Systems4% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Anh Cat Le Ngo's research?

The keywords of their largest research topics: Deep Learning, Saliency Detection, Visual Attention, Human-Computer Interaction, Local Binary Patterns, Sparse Representation, Eye Tracking and Gaze Estimation.

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 20 words, with their numbers
  1. Deep Learning313 topics
  2. Saliency Detection191 topic
  3. Visual Attention191 topic
  4. Human-Computer Interaction172 topics
  5. Local Binary Patterns122 topics
  6. Sparse Representation112 topics
  7. Eye Tracking91 topic
  8. Gaze Estimation91 topic
  9. Emotion Recognition81 topic
  10. Multimodal Data81 topic
  11. Dimensionality Reduction71 topic
  12. Face Recognition71 topic
  13. Content-Based Image Retrieval51 topic
  14. Shape Matching51 topic
  15. COVID-1941 topic
  16. Image Fusion41 topic
  17. Image Quality Assessment41 topic
  18. Multispectral41 topic
  19. Olfactory Dysfunction41 topic
  20. Perceptual Quality41 topic

Where does Anh Cat Le Ngo work?

Anh Cat Le Ngo's main affiliation in the publication record is Multimedia University, Malaysia.

How many publications and citations does Anh Cat Le Ngo have?

OpenAlex counts 33 works and 870 citations for Anh Cat Le Ngo, an h-index of 13, ranking #1,328,530 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.

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