Science Explorer Interactive view Map

G. F. Cao

G. F. Cao publishes mostly in Nuclear and High Energy Physics, Artificial Intelligence and Aerospace Engineering, on topics such as Particle physics theoretical and experimental studies, Quantum Chromodynamics and Particle Interactions and High-Energy Particle Collisions Research.

World rank
#1,505,866
of 1,633,909 ranked researchers
Rank in South Korea
#34,698
of 38,381
Works
23
Citations
15
Citations per work
0.7

What does G. F. Cao research?

Nuclear and High Energy Physics: 36.0%Artificial Intelligence: 16.0%Aerospace Engineering: 12.0%Computer Vision and Pattern Recognition: 12.0%other fields: 24.0%36%top field
Nuclear and High Energy Physics36.0%Artificial Intelligence16.0%Aerospace Engineering12.0%Computer Vision and Pattern Recognition12.0%other fields24.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Nuclear and High Energy Physics36% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Aerospace Engineering12% of their works
  4. 4Computer Vision and Pattern Recognition12% of their works
  5. 5Computational Theory and Mathematics4% of their works
  6. 6Industrial and Manufacturing Engineering4% of their works

Research topics

Which keywords describe G. F. Cao's research?

The keywords of their largest research topics: Lattice QCD, charmonium, Deep Learning, Heavy-Ion Collisions, High-Energy Collider, Particle Physics, QCD and Quark-Gluon Plasma.

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 19 words, with their numbers
  1. Lattice QCD62 topics
  2. Deep Learning32 topics
  3. Heavy-Ion Collisions31 topic
  4. High-Energy Collider31 topic
  5. Particle Physics31 topic
  6. QCD31 topic
  7. Quark-Gluon Plasma31 topic
  8. charmonium31 topic
  9. Face Recognition21 topic
  10. Facial Landmark Detection21 topic
  11. Neural Networks22 topics
  12. Backpropagation Learning11 topic
  13. Domain Adaptation11 topic
  14. Extreme Learning Machine11 topic
  15. Feedforward Networks11 topic
  16. Multi-label Learning11 topic
  17. Self-Organizing Maps11 topic
  18. Text Classification11 topic
  19. Transfer Learning11 topic

Where does G. F. Cao work?

G. F. Cao's main affiliation in the publication record is University of Ulsan, South Korea.

How many publications and citations does G. F. Cao have?

Science Explorer counts 23 works and 15 citations for G. F. Cao, ranking #1,505,866 of 1,633,909 researchers worldwide on the composite 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 G. F. Cao

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.