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Researcher · Baidu (China) · China

Lingyong Yan

Lingyong Yan publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.

ORCID 0000-0002-6547-1984 OpenAlex
World rank
#1,455,181
of 7,710,434 ranked researchers
Rank in China
#216,176
of 978,568
Works
48
Citations
484
Citations per work
10.1
h-index
9
i10-index 8Top 49% in Artificial Intelligence
Lingyong Yan

What does Lingyong Yan research?

Lingyong Yan's work is mostly in Computer Science (88%), Engineering (3%), Psychology (3%).

Physical Sciences: 44 works · 90.8% of their workComputer Science: 42 works · 88.3% of their workArtificial Intelligence: 31 works · 64.2% of their workComputer Vision and Pattern Recognition: 5 works · 10.8% of their workInformation Systems: 5 works · 10.0% of their workComputer Networks and Communications: 2 works · 3.3% of their workEngineering: 1 works · 2.5% of their workIndustrial and Manufacturing Engineering: 1 works · 2.5% of their workEverything else: 3 works · 6.7% of their workSocial Sciences: 1 works · 2.5% of their workPsychology: 1 works · 2.5% of their workExperimental and Cognitive Psychology: 1 works · 2.5% of their workTHEIR WORKLingyong Yan48works
Physical Sciences91%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 Science4288.3%
    2. Engineering12.5%
  2. Everything else36.7%
    1. Psychology12.5%
  1. 1Artificial Intelligence64% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Information Systems10% of their works
  4. 4Computer Networks and Communications3% of their works
  5. 5Industrial and Manufacturing Engineering2% of their works
  6. 6Experimental and Cognitive Psychology2% of their works

Research topics

Which keywords describe Lingyong Yan's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Deep Neural Networks and Meta-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. 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. Neural Networks384 topics
  2. Machine Translation261 topic
  3. Word Representation261 topic
  4. Neural Machine Translation171 topic
  5. Statistical Machine Translation171 topic
  6. Deep Learning123 topics
  7. Deep Neural Networks82 topics
  8. Meta-Learning82 topics
  9. Image Captioning61 topic
  10. Visual Question Answering61 topic
  11. Domain Adaptation41 topic
  12. Hyperparameter Optimization41 topic
  13. Interpretable Models41 topic
  14. Machine Learning Interpretability41 topic
  15. Noisy Labels41 topic
  16. Transfer Learning41 topic
  17. Adversarial Examples31 topic
  18. Backpropagation Learning31 topic
  19. Robustness31 topic
  20. Self-Organizing Maps31 topic

Where does Lingyong Yan work?

Lingyong Yan's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Lingyong Yan have?

OpenAlex counts 48 works and 484 citations for Lingyong Yan, an h-index of 9, ranking #1,455,181 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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