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Researcher · Visa (United States) · United States

Hao Yang

Hao Yang publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Advanced Graph Neural Networks, Topic Modeling and Recommender Systems and Techniques.

ORCID 0000-0003-3020-9828 OpenAlex
World rank
#1,119,151
of 7,710,434 ranked researchers
Rank in United States
#361,407
of 1,627,098
Works
45
Citations
626
Citations per work
13.9
h-index
12
i10-index 13Top 32% in Artificial Intelligence
Hao Yang

What does Hao Yang research?

Hao Yang's work is mostly in Computer Science (81%), Decision Sciences (3%), Social Sciences (2%).

Physical Sciences: 36 works · 80.6% of their workComputer Science: 36 works · 80.6% of their workArtificial Intelligence: 26 works · 57.1% of their workInformation Systems: 8 works · 17.6% of their workComputer Vision and Pattern Recognition: 2 works · 3.4% of their workComputer Networks and Communications: 1 works · 2.5% of their workEverything else: 6 works · 13.5% of their workSocial Sciences: 3 works · 5.9% of their workDecision Sciences: 2 works · 3.4% of their workManagement Science and Operations Research: 2 works · 3.4% of their workSocial Sciences: 1 works · 2.5% of their workSociology and Political Science: 1 works · 2.5% of their workTHEIR WORKHao Yang45works
Physical Sciences81%Social Sciences6%

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 Science3680.6%
  2. Everything else613.5%
    1. Decision Sciences23.4%
    2. Social Sciences12.5%
  1. 1Artificial Intelligence57% of their works
  2. 2Information Systems18% of their works
  3. 3Computer Vision and Pattern Recognition3% of their works
  4. 4Management Science and Operations Research3% of their works
  5. 5Computer Networks and Communications2% of their works
  6. 6Sociology and Political Science2% of their works

Research topics

Which keywords describe Hao Yang's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Semi-Supervised Learning, Graph Neural Networks, Knowledge Graph Embedding, Machine Translation and Word Representation.

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 Learning332 topics
  2. Neural Networks312 topics
  3. Representation Learning222 topics
  4. Semi-Supervised Learning222 topics
  5. Graph Neural Networks191 topic
  6. Knowledge Graph Embedding191 topic
  7. Machine Translation171 topic
  8. Word Representation171 topic
  9. Collaborative Filtering141 topic
  10. Matrix Factorization141 topic
  11. Neural Machine Translation81 topic
  12. Statistical Machine Translation81 topic
  13. Acoustic Modeling41 topic
  14. Deep Neural Networks41 topic
  15. Classification31 topic
  16. Differential Privacy31 topic
  17. Domain Adaptation31 topic
  18. Federated Learning31 topic
  19. Imbalanced Data31 topic
  20. Transfer Learning31 topic

Where does Hao Yang work?

Hao Yang's main affiliation in the publication record is Visa (United States), United States.

How many publications and citations does Hao Yang have?

OpenAlex counts 45 works and 626 citations for Hao Yang, an h-index of 12, ranking #1,119,151 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 Hao 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.

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