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Researcher · Tencent (China) · China

Yawen Huang

Yawen Huang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Multimodal Machine Learning Applications.

ORCID 0000-0002-9569-269X OpenAlex
World rank
#363,646
of 7,710,434 ranked researchers
Rank in China
#41,966
of 978,568
Works
97
Citations
1.5k
Citations per work
15.2
h-index
21
i10-index 33Top 12% in Computer Vision and Pattern Recognition
Yawen Huang

What does Yawen Huang research?

Yawen Huang's work is mostly in Computer Science (60%), Medicine (9%), Engineering (7%).

Physical Sciences: 65 works · 67.2% of their workComputer Science: 59 works · 60.4% of their workComputer Vision and Pattern Recognition: 42 works · 42.9% of their workArtificial Intelligence: 17 works · 17.5% of their workEngineering: 7 works · 6.8% of their workMedia Technology: 3 works · 3.6% of their workBiomedical Engineering: 3 works · 3.2% of their workEverything else: 20 works · 21.0% of their workHealth Sciences: 9 works · 9.3% of their workMedicine: 9 works · 9.3% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 9.3% of their workLife Sciences: 2 works · 2.5% of their workNeuroscience: 2 works · 2.5% of their workNeurology: 2 works · 2.5% of their workTHEIR WORKYawen Huang97works
Life Sciences3%Physical Sciences67%Health Sciences9%

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 Science5960.4%
    2. Engineering76.8%
  2. Everything else2021.0%
    1. Medicine99.3%
    1. Neuroscience22.5%
  1. 1Computer Vision and Pattern Recognition43% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Radiology, Nuclear Medicine and Imaging9% of their works
  4. 4Media Technology4% of their works
  5. 5Biomedical Engineering3% of their works
  6. 6Neurology2% of their works

Research topics

Which keywords describe Yawen Huang's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Representation Learning, Convolutional Networks, Domain Adaptation, Transfer Learning and Generative Adversarial Networks.

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 23 words, with their numbers
  1. Deep Learning655 topics
  2. Unsupervised Learning483 topics
  3. Neural Networks464 topics
  4. Representation Learning352 topics
  5. Convolutional Networks262 topics
  6. Domain Adaptation251 topic
  7. Transfer Learning251 topic
  8. Generative Adversarial Networks232 topics
  9. Depth Estimation222 topics
  10. Convolutional Neural Networks171 topic
  11. Image Recognition171 topic
  12. Image Captioning141 topic
  13. Visual Question Answering141 topic
  14. Image131 topic
  15. Optical Flow131 topic
  16. Stereo Vision131 topic
  17. Super-Resolution131 topic
  18. Image Segmentation111 topic
  19. Medical Image Analysis111 topic
  20. Image Inpainting101 topic
  21. Image Synthesis101 topic
  22. Autofocusing91 topic
  23. Microscopy91 topic

Where does Yawen Huang work?

Yawen Huang's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Yawen Huang have?

OpenAlex counts 97 works and 1,471 citations for Yawen Huang, an h-index of 21, ranking #363,646 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 Yawen Huang

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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