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Researcher · Zhejiang Lab · China

Yao Yang

Yao Yang publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Advanced Graph Neural Networks, Recommender Systems and Techniques and Privacy-Preserving Technologies in Data.

ORCID 0000-0002-7007-9071 OpenAlex
World rank
#3,129,012
of 7,710,434 ranked researchers
Rank in China
#491,983
of 978,568
Works
17
Citations
139
Citations per work
8.2
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Yao Yang

What does Yao Yang research?

Yao Yang's work is mostly in Computer Science (76%), Engineering (4%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 14 works · 80.3% of their workComputer Science: 13 works · 76.0% of their workArtificial Intelligence: 8 works · 47.8% of their workComputer Vision and Pattern Recognition: 2 works · 13.0% of their workInformation Systems: 2 works · 13.0% of their workSignal Processing: 0 works · 2.2% of their workEngineering: 1 works · 4.3% of their workAerospace Engineering: 1 works · 4.3% of their workEverything else: 3 works · 17.5% of their workLife Sciences: 0 works · 2.2% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 2.2% of their workMolecular Biology: 0 works · 2.2% of their workTHEIR WORKYao Yang17works
Life Sciences2%Physical Sciences80%

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 Science1376.0%
    2. Engineering14.3%
  2. Everything else317.5%
    1. Biochemistry, Genetics and Molecular Biology02.2%
  1. 1Artificial Intelligence48% of their works
  2. 2Information Systems13% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Aerospace Engineering4% of their works
  5. 5Signal Processing2% of their works
  6. 6Molecular Biology2% of their works

Research topics

Which keywords describe Yao Yang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Semi-Supervised Learning, Collaborative Filtering, Graph Neural Networks, Knowledge Graph Embedding and Matrix Factorization.

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 22 words, with their numbers
  1. Deep Learning102 topics
  2. Neural Networks72 topics
  3. Representation Learning72 topics
  4. Semi-Supervised Learning72 topics
  5. Collaborative Filtering51 topic
  6. Graph Neural Networks51 topic
  7. Knowledge Graph Embedding51 topic
  8. Matrix Factorization51 topic
  9. Classification42 topics
  10. Meta-Learning42 topics
  11. Differential Privacy31 topic
  12. Federated Learning31 topic
  13. Domain Adaptation21 topic
  14. Hyperparameter Optimization21 topic
  15. Imbalanced Data21 topic
  16. Machine Translation21 topic
  17. Noisy Labels21 topic
  18. SMOTE21 topic
  19. Transfer Learning21 topic
  20. Word Representation21 topic
  21. Protein11 topic
  22. Structure11 topic

Where does Yao Yang work?

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

How many publications and citations does Yao Yang have?

OpenAlex counts 17 works and 139 citations for Yao Yang, an h-index of 6, ranking #3,129,012 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.

Other researchers named Yao Yang

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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