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Researcher · Nanyang Technological University · Singapore

Guang-Bin Huang

Guang-Bin Huang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Machine Learning and ELM, Neural Networks and Applications and Face and Expression Recognition.

ORCID 0000-0002-2480-4965 OpenAlex
World rank
#39,989
of 7,710,434 ranked researchers
Rank in Singapore
#260
of 23,642
Works
276
Citations
57k
Citations per work
205.8
h-index
72
i10-index 174Top 0.2% in Artificial Intelligence
Guang-Bin Huang

What does Guang-Bin Huang research?

Guang-Bin Huang's work is mostly in Computer Science (58%), Engineering (11%), Neuroscience (2%).

Physical Sciences: 192 works · 69.4% of their workComputer Science: 161 works · 58.5% of their workArtificial Intelligence: 118 works · 42.8% of their workComputer Vision and Pattern Recognition: 36 works · 13.0% of their workComputer Networks and Communications: 7 works · 2.7% of their workEngineering: 30 works · 10.9% of their workElectrical and Electronic Engineering: 21 works · 7.5% of their workControl and Systems Engineering: 9 works · 3.4% of their workEverything else: 78 works · 28.4% of their workLife Sciences: 6 works · 2.2% of their workNeuroscience: 6 works · 2.2% of their workCognitive Neuroscience: 6 works · 2.2% of their workTHEIR WORKGuang-Bin Huang276works
Life Sciences2%Physical Sciences69%

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 Science16158.5%
    2. Engineering3010.9%
  2. Everything else7828.4%
    1. Neuroscience62.2%
  1. 1Artificial Intelligence43% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Control and Systems Engineering3% of their works
  5. 5Computer Networks and Communications3% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe Guang-Bin Huang's research?

The keywords of their largest research topics: Neural Networks, Extreme Learning Machine, Feedforward Networks, Deep Learning, Backpropagation Learning, Self-Organizing Maps, Support Vector Machines 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. 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 19 words, with their numbers
  1. Neural Networks3065 topics
  2. Extreme Learning Machine1451 topic
  3. Feedforward Networks1451 topic
  4. Deep Learning1012 topics
  5. Backpropagation Learning901 topic
  6. Self-Organizing Maps901 topic
  7. Support Vector Machines692 topics
  8. Dimensionality Reduction561 topic
  9. Face Recognition561 topic
  10. Memristor471 topic
  11. Neuromorphic Computing471 topic
  12. Domain Adaptation451 topic
  13. Transfer Learning451 topic
  14. Brain-Computer Interfaces131 topic
  15. EEG Analysis131 topic
  16. Fuzzy Logic131 topic
  17. PID Control131 topic
  18. Random Projections111 topic
  19. Stochastic Gradient Descent111 topic

Where does Guang-Bin Huang work?

Guang-Bin Huang's main affiliation in the publication record is Nanyang Technological University, Singapore.

How many publications and citations does Guang-Bin Huang have?

OpenAlex counts 276 works and 56,803 citations for Guang-Bin Huang, an h-index of 72, ranking #39,989 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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