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Researcher · Shanghai Artificial Intelligence Laboratory · ??

Linke Ouyang

Linke Ouyang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Natural Language Processing Techniques, Topic Modeling and Handwritten Text Recognition Techniques.

OpenAlex
World rank
#2,087,799
of 7,710,434 ranked researchers
Rank in ??
#3,165
of 21,892
Works
23
Citations
165
Citations per work
7.2
h-index
7
i10-index 6Top 65% in Artificial Intelligence
Linke Ouyang

What does Linke Ouyang research?

Linke Ouyang's work is mostly in Computer Science (86%), Materials Science (3%), Decision Sciences (3%).

Physical Sciences: 20 works · 88.7% of their workComputer Science: 20 works · 85.5% of their workArtificial Intelligence: 12 works · 50.0% of their workComputer Vision and Pattern Recognition: 7 works · 29.0% of their workComputational Theory and Mathematics: 1 works · 6.5% of their workMaterials Science: 1 works · 3.2% of their workMaterials Chemistry: 1 works · 3.2% of their workEverything else: 1 works · 6.5% of their workSocial Sciences: 1 works · 3.2% of their workDecision Sciences: 1 works · 3.2% of their workManagement Science and Operations Research: 1 works · 3.2% of their workHealth Sciences: 0 works · 1.6% of their workMedicine: 0 works · 1.6% of their workHealth Informatics: 0 works · 1.6% of their workTHEIR WORKLinke Ouyang23works
Physical Sciences89%Health Sciences2%Social Sciences3%

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 Science2085.5%
    2. Materials Science13.2%
  2. Everything else16.5%
    1. Decision Sciences13.2%
    1. Medicine01.6%
  1. 1Artificial Intelligence50% of their works
  2. 2Computer Vision and Pattern Recognition29% of their works
  3. 3Computational Theory and Mathematics6% of their works
  4. 4Management Science and Operations Research3% of their works
  5. 5Materials Chemistry3% of their works
  6. 6Health Informatics2% of their works

Research topics

Which keywords describe Linke Ouyang's research?

The keywords of their largest research topics: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Machine Translation, Word Representation, Handwriting Recognition and Image Captioning.

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 18 words, with their numbers
  1. Neural Networks243 topics
  2. Neural Machine Translation121 topic
  3. Statistical Machine Translation121 topic
  4. Deep Learning113 topics
  5. Machine Translation101 topic
  6. Word Representation101 topic
  7. Handwriting Recognition71 topic
  8. Image Captioning71 topic
  9. Text Detection71 topic
  10. Visual Question Answering71 topic
  11. Math Search41 topic
  12. Mathematical Information Retrieval41 topic
  13. Electronic Health Records21 topic
  14. Feature Matching21 topic
  15. Healthcare21 topic
  16. Local Descriptors21 topic
  17. Ontology21 topic
  18. Semantic Web21 topic

Where does Linke Ouyang work?

Linke Ouyang's main affiliation in the publication record is Shanghai Artificial Intelligence Laboratory, ??.

How many publications and citations does Linke Ouyang have?

OpenAlex counts 23 works and 165 citations for Linke Ouyang, an h-index of 7, ranking #2,087,799 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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