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Researcher · Rice University · United States

Yonggan Fu

Yonggan Fu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning and Topic Modeling.

ORCID 0000-0002-7483-2921 OpenAlex
World rank
#1,763,582
of 7,710,434 ranked researchers
Rank in United States
#543,175
of 1,627,098
Works
118
Citations
883
Citations per work
7.5
h-index
16
i10-index 24Top 20% in Artificial Intelligence
Yonggan Fu

What does Yonggan Fu research?

Yonggan Fu's work is mostly in Computer Science (74%), Engineering (5%).

Physical Sciences: 93 works · 78.5% of their workComputer Science: 87 works · 73.6% of their workArtificial Intelligence: 47 works · 39.8% of their workComputer Vision and Pattern Recognition: 33 works · 27.8% of their workComputer Graphics and Computer-Aided Design: 3 works · 2.4% of their workHardware and Architecture: 2 works · 2.1% of their workInformation Systems: 2 works · 1.5% of their workEngineering: 6 works · 4.9% of their workElectrical and Electronic Engineering: 6 works · 4.9% of their workEverything else: 25 works · 21.5% of their workTHEIR WORKYonggan Fu118works
Physical Sciences79%

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 Science8773.6%
    2. Engineering64.9%
  2. Everything else2521.5%
  1. 1Artificial Intelligence40% of their works
  2. 2Computer Vision and Pattern Recognition28% of their works
  3. 3Electrical and Electronic Engineering5% of their works
  4. 4Computer Graphics and Computer-Aided Design2% of their works
  5. 5Hardware and Architecture2% of their works
  6. 6Information Systems2% of their works

Research topics

Which keywords describe Yonggan Fu's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Image Recognition, Representation Learning, Unsupervised Learning, Domain Adaptation and Transfer Learning.

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 Learning874 topics
  2. Neural Networks674 topics
  3. Convolutional Neural Networks421 topic
  4. Image Recognition421 topic
  5. Representation Learning372 topics
  6. Unsupervised Learning372 topics
  7. Domain Adaptation241 topic
  8. Transfer Learning241 topic
  9. Machine Translation221 topic
  10. Word Representation221 topic
  11. Adversarial Examples211 topic
  12. Robustness211 topic
  13. Generative Adversarial Networks131 topic
  14. Image Synthesis131 topic
  15. Image Captioning111 topic
  16. Visual Question Answering111 topic
  17. Neural Machine Translation101 topic
  18. Statistical Machine Translation101 topic
  19. Computer Graphics81 topic
  20. Visualization81 topic

Where does Yonggan Fu work?

Yonggan Fu's main affiliation in the publication record is Rice University, United States.

How many publications and citations does Yonggan Fu have?

OpenAlex counts 118 works and 883 citations for Yonggan Fu, an h-index of 16, ranking #1,763,582 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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