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Researcher · Zhejiang Lab · China

Kelu Yao

Kelu Yao publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning and Multimodal Machine Learning Applications.

ORCID 0000-0002-4891-3197 OpenAlex
World rank
#3,843,273
of 7,710,434 ranked researchers
Rank in China
#599,174
of 978,568
Works
16
Citations
91
Citations per work
5.7
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Kelu Yao

What does Kelu Yao research?

Kelu Yao's work is mostly in Computer Science (60%), Engineering (5%), Medicine (5%).

Physical Sciences: 10 works · 65.2% of their workComputer Science: 10 works · 60.5% of their workComputer Vision and Pattern Recognition: 5 works · 32.6% of their workArtificial Intelligence: 3 works · 20.9% of their workComputer Networks and Communications: 1 works · 4.7% of their workInformation Systems: 0 works · 2.3% of their workEngineering: 1 works · 4.7% of their workAerospace Engineering: 1 works · 4.7% of their workEverything else: 5 works · 30.1% of their workHealth Sciences: 1 works · 4.7% of their workMedicine: 1 works · 4.7% of their workPublic Health, Environmental and Occupational Health: 1 works · 4.7% of their workTHEIR WORKKelu Yao16works
Physical Sciences65%Health 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 Science1060.5%
    2. Engineering14.7%
  2. Everything else530.1%
    1. Medicine14.7%
  1. 1Computer Vision and Pattern Recognition33% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Aerospace Engineering5% of their works
  4. 4Computer Networks and Communications5% of their works
  5. 5Public Health, Environmental and Occupational Health5% of their works
  6. 6Information Systems2% of their works

Research topics

Which keywords describe Kelu Yao's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Adversarial Examples, Robustness, Digital Forensics and Domain Adaptation.

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 20 words, with their numbers
  1. Deep Learning166 topics
  2. Neural Networks93 topics
  3. Representation Learning52 topics
  4. Unsupervised Learning52 topics
  5. Adversarial Examples41 topic
  6. Robustness41 topic
  7. Digital Forensics31 topic
  8. Domain Adaptation31 topic
  9. Image Captioning31 topic
  10. Image Forgery Detection31 topic
  11. Transfer Learning31 topic
  12. Visual Question Answering31 topic
  13. Convolutional Neural Networks21 topic
  14. Feature Matching21 topic
  15. Generative Adversarial Networks21 topic
  16. Image Recognition21 topic
  17. Image Synthesis21 topic
  18. Local Descriptors21 topic
  19. Ecosystem Services11 topic
  20. Pollinator Decline11 topic

Where does Kelu Yao work?

Kelu Yao's main affiliation in the publication record is Zhejiang Lab, China.

How many publications and citations does Kelu Yao have?

OpenAlex counts 16 works and 91 citations for Kelu Yao, an h-index of 5, ranking #3,843,273 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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