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Researcher · Multimedia University · Malaysia

John See

John See publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, on topics such as Human Pose and Action Recognition, Emotion and Mood Recognition and Face and Expression Recognition.

ORCID 0000-0003-3005-4109 OpenAlex
World rank
#361,194
of 7,710,434 ranked researchers
Rank in Malaysia
#1,030
of 41,196
Works
185
Citations
5.2k
Citations per work
28.0
h-index
38
i10-index 78Top 2.7% in Computer Vision and Pattern Recognition
John See

What does John See research?

John See's work is mostly in Computer Science (70%), Psychology (7%), Neuroscience (3%).

Physical Sciences: 130 works · 70.0% of their workComputer Science: 130 works · 70.0% of their workComputer Vision and Pattern Recognition: 101 works · 54.5% of their workArtificial Intelligence: 16 works · 8.7% of their workHuman-Computer Interaction: 6 works · 3.5% of their workSignal Processing: 6 works · 3.3% of their workEverything else: 37 works · 20.2% of their workSocial Sciences: 13 works · 7.2% of their workPsychology: 13 works · 7.2% of their workExperimental and Cognitive Psychology: 13 works · 7.2% of their workLife Sciences: 5 works · 2.6% of their workNeuroscience: 5 works · 2.6% of their workCognitive Neuroscience: 5 works · 2.6% of their workTHEIR WORKJohn See185works
Life Sciences3%Physical Sciences70%Social Sciences7%

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 Science13070.0%
  2. Everything else3720.2%
    1. Psychology137.2%
    1. Neuroscience52.6%
  1. 1Computer Vision and Pattern Recognition55% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Experimental and Cognitive Psychology7% of their works
  4. 4Human-Computer Interaction4% of their works
  5. 5Signal Processing3% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe John See's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Pose Estimation, Face Recognition, Action Recognition, Emotion Recognition, Multimodal Data and Spatiotemporal Features.

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 20 words, with their numbers
  1. Deep Learning2147 topics
  2. Convolutional Neural Networks843 topics
  3. Pose Estimation652 topics
  4. Face Recognition622 topics
  5. Action Recognition381 topic
  6. Emotion Recognition381 topic
  7. Multimodal Data381 topic
  8. Spatiotemporal Features381 topic
  9. Dimensionality Reduction351 topic
  10. Feature Selection351 topic
  11. Object Tracking331 topic
  12. Visual Tracking331 topic
  13. Feature Matching311 topic
  14. Local Descriptors311 topic
  15. Age Estimation271 topic
  16. Facial Landmark Detection271 topic
  17. Image Recognition241 topic
  18. Object Detection241 topic
  19. Anomaly Detection231 topic
  20. Unsupervised231 topic

Where does John See work?

John See's main affiliation in the publication record is Multimedia University, Malaysia.

How many publications and citations does John See have?

OpenAlex counts 185 works and 5,181 citations for John See, an h-index of 38, ranking #361,194 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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