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Researcher · Baidu (China) · China

Yaqing Wang

Yaqing Wang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Topic Modeling, Natural Language Processing Techniques and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0003-1457-1114 OpenAlex
World rank
#693,526
of 7,710,434 ranked researchers
Rank in China
#91,160
of 978,568
Works
161
Citations
6.7k
Citations per work
41.7
h-index
26
i10-index 53Top 7.1% in Artificial Intelligence
Yaqing Wang

What does Yaqing Wang research?

Yaqing Wang's work is mostly in Computer Science (42%), Engineering (5%), Materials Science (4%).

Physical Sciences: 81 works · 50.6% of their workComputer Science: 67 works · 41.6% of their workArtificial Intelligence: 50 works · 30.8% of their workComputer Vision and Pattern Recognition: 12 works · 7.7% of their workSignal Processing: 5 works · 3.1% of their workEngineering: 7 works · 4.6% of their workElectrical and Electronic Engineering: 7 works · 4.6% of their workMaterials Science: 7 works · 4.4% of their workMaterials Chemistry: 7 works · 4.4% of their workEverything else: 75 works · 46.5% of their workLife Sciences: 5 works · 2.9% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 2.9% of their workMolecular Biology: 5 works · 2.9% of their workTHEIR WORKYaqing Wang161works
Life Sciences3%Physical Sciences51%

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 Science6741.6%
    2. Engineering74.6%
    3. Materials Science74.4%
  2. Everything else7546.5%
    1. Biochemistry, Genetics and Molecular Biology52.9%
  1. 1Artificial Intelligence31% of their works
  2. 2Computer Vision and Pattern Recognition8% of their works
  3. 3Electrical and Electronic Engineering5% of their works
  4. 4Materials Chemistry4% of their works
  5. 5Signal Processing3% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Yaqing Wang's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Deep Learning, Catalysis, Neural Machine Translation, Statistical Machine Translation 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 19 words, with their numbers
  1. Neural Networks472 topics
  2. Machine Translation361 topic
  3. Word Representation361 topic
  4. Deep Learning222 topics
  5. Catalysis192 topics
  6. Neural Machine Translation191 topic
  7. Statistical Machine Translation191 topic
  8. Domain Adaptation161 topic
  9. Transfer Learning161 topic
  10. Nanoparticles121 topic
  11. Oxidation121 topic
  12. Electronic Health Records111 topic
  13. Healthcare111 topic
  14. Image Captioning111 topic
  15. Visual Question Answering111 topic
  16. Compressed Sensing81 topic
  17. Sparse Representation81 topic
  18. Dehydrogenation71 topic
  19. Oxidative71 topic

Where does Yaqing Wang work?

Yaqing Wang's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Yaqing Wang have?

OpenAlex counts 161 works and 6,710 citations for Yaqing Wang, an h-index of 26, ranking #693,526 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 Yaqing Wang

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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