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Researcher · Western University · Canada

Bin Gu

Bin Gu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Stochastic Gradient Optimization Techniques, Face and Expression Recognition and Privacy-Preserving Technologies in Data.

ORCID 0000-0001-6049-1815 OpenAlex
World rank
#1,735,272
of 7,710,434 ranked researchers
Rank in Canada
#57,927
of 183,316
Works
15
Citations
1.2k
Citations per work
79.1
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Bin Gu

What does Bin Gu research?

Bin Gu's work is mostly in Computer Science (67%), Engineering (5%), Environmental Science (5%).

Physical Sciences: 11 works · 76.3% of their workComputer Science: 10 works · 66.7% of their workArtificial Intelligence: 7 works · 45.2% of their workComputer Vision and Pattern Recognition: 3 works · 16.7% of their workComputer Networks and Communications: 1 works · 4.8% of their workEngineering: 1 works · 4.8% of their workComputational Mechanics: 1 works · 4.8% of their workEnvironmental Science: 1 works · 4.8% of their workGlobal and Planetary Change: 1 works · 4.8% of their workEverything else: 3 works · 18.9% of their workSocial Sciences: 1 works · 4.8% of their workEconomics, Econometrics and Finance: 1 works · 4.8% of their workEconomics and Econometrics: 1 works · 4.8% of their workTHEIR WORKBin Gu15works
Physical Sciences76%Social Sciences5%

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 Science1066.7%
    2. Engineering14.8%
    3. Environmental Science14.8%
  2. Everything else318.9%
    1. Economics, Econometrics and Finance14.8%
  1. 1Artificial Intelligence45% of their works
  2. 2Computer Vision and Pattern Recognition17% of their works
  3. 3Computational Mechanics5% of their works
  4. 4Computer Networks and Communications5% of their works
  5. 5Economics and Econometrics5% of their works
  6. 6Global and Planetary Change5% of their works

Research topics

Which keywords describe Bin Gu's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Convex Optimization, Sparse Representation, Dimensionality Reduction, Face Recognition, Random Projections and Stochastic Gradient Descent.

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. Neural Networks104 topics
  2. Deep Learning83 topics
  3. Convex Optimization62 topics
  4. Sparse Representation62 topics
  5. Dimensionality Reduction41 topic
  6. Face Recognition41 topic
  7. Random Projections41 topic
  8. Stochastic Gradient Descent41 topic
  9. Differential Privacy31 topic
  10. Federated Learning31 topic
  11. Anomaly Detection21 topic
  12. Backpropagation Learning21 topic
  13. Compressed Sensing21 topic
  14. Domain Adaptation21 topic
  15. Extreme Learning Machine21 topic
  16. Feedforward Networks21 topic
  17. Self-Organizing Maps21 topic
  18. Signal Recovery21 topic
  19. Transfer Learning21 topic
  20. Unsupervised21 topic

Where does Bin Gu work?

Bin Gu's main affiliation in the publication record is Western University, Canada.

How many publications and citations does Bin Gu have?

OpenAlex counts 15 works and 1,186 citations for Bin Gu, an h-index of 8, ranking #1,735,272 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.

Other researchers named Bin Gu

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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