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Researcher · Baidu (China) · China

Chuyu Fang

Chuyu Fang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Domain Adaptation and Few-Shot Learning.

ORCID 0009-0007-8353-7979 OpenAlex
World rank
#1,320,269
of 7,710,434 ranked researchers
Rank in China
#193,728
of 978,568
Works
15
Citations
334
Citations per work
22.3
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Chuyu Fang

What does Chuyu Fang research?

Chuyu Fang's work is mostly in Computer Science (68%), Biochemistry, Genetics and Molecular Biology (5%), Business, Management and Accounting (5%).

Physical Sciences: 10 works · 68.3% of their workComputer Science: 10 works · 68.3% of their workArtificial Intelligence: 7 works · 48.8% of their workComputer Vision and Pattern Recognition: 2 works · 12.2% of their workInformation Systems: 1 works · 7.3% of their workEverything else: 3 works · 17.0% of their workSocial Sciences: 1 works · 9.8% of their workBusiness, Management and Accounting: 1 works · 4.9% of their workMarketing: 1 works · 4.9% of their workDecision Sciences: 1 works · 4.9% of their workManagement Science and Operations Research: 1 works · 4.9% of their workLife Sciences: 1 works · 4.9% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.9% of their workBiophysics: 1 works · 4.9% of their workTHEIR WORKChuyu Fang15works
Life Sciences5%Physical Sciences68%Social Sciences10%

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 Science1068.3%
  2. Everything else317.0%
    1. Business, Management and Accounting14.9%
    2. Decision Sciences14.9%
    1. Biochemistry, Genetics and Molecular Biology14.9%
  1. 1Artificial Intelligence49% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Information Systems7% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Marketing5% of their works
  6. 6Biophysics5% of their works

Research topics

Which keywords describe Chuyu Fang's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Representation Learning, Unsupervised Learning, Deep Learning, Domain Adaptation and Neural Machine Translation.

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 21 words, with their numbers
  1. Neural Networks123 topics
  2. Machine Translation81 topic
  3. Word Representation81 topic
  4. Representation Learning62 topics
  5. Unsupervised Learning62 topics
  6. Deep Learning53 topics
  7. Domain Adaptation41 topic
  8. Neural Machine Translation41 topic
  9. Statistical Machine Translation41 topic
  10. Transfer Learning41 topic
  11. Machine Learning32 topics
  12. Churn Prediction21 topic
  13. Community Question Answering21 topic
  14. Customer Equity21 topic
  15. Expert Finding21 topic
  16. Generative Adversarial Networks21 topic
  17. Image Captioning21 topic
  18. Image Synthesis21 topic
  19. Visual Question Answering21 topic
  20. Bioimage Analysis11 topic
  21. High-Content Screening11 topic

Where does Chuyu Fang work?

Chuyu Fang's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Chuyu Fang have?

OpenAlex counts 15 works and 334 citations for Chuyu Fang, an h-index of 6, ranking #1,320,269 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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