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Researcher · University of California, Berkeley · United States

Yuansi Chen

Yuansi Chen publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, on topics such as Markov Chains and Monte Carlo Methods, Domain Adaptation and Few-Shot Learning and Bayesian Methods and Mixture Models.

ORCID 0000-0002-8899-7380 OpenAlex
World rank
#2,279,653
of 7,710,434 ranked researchers
Rank in United States
#680,840
of 1,627,098
Works
34
Citations
439
Citations per work
12.9
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Yuansi Chen

What does Yuansi Chen research?

Yuansi Chen's work is mostly in Computer Science (44%), Mathematics (14%), Engineering (9%).

Physical Sciences: 23 works · 67.7% of their workComputer Science: 15 works · 44.5% of their workArtificial Intelligence: 10 works · 28.3% of their workComputer Vision and Pattern Recognition: 6 works · 16.2% of their workMathematics: 5 works · 14.1% of their workStatistics and Probability: 5 works · 14.1% of their workEngineering: 3 works · 9.1% of their workElectrical and Electronic Engineering: 2 works · 5.1% of their workControl and Systems Engineering: 1 works · 4.0% of their workEverything else: 9 works · 26.2% of their workHealth Sciences: 2 works · 6.1% of their workMedicine: 2 works · 6.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 6.1% of their workTHEIR WORKYuansi Chen34works
Physical Sciences68%Health Sciences6%

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 Science1544.5%
    2. Mathematics514.1%
    3. Engineering39.1%
  2. Everything else926.2%
    1. Medicine26.1%
  1. 1Artificial Intelligence28% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Statistics and Probability14% of their works
  4. 4Radiology, Nuclear Medicine and Imaging6% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Yuansi Chen's research?

The keywords of their largest research topics: Deep Learning, Bayesian Monte Carlo, Markov Chain, Semi-Supervised Learning, Image Classification, Domain Adaptation, Transfer Learning and Clustering.

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.

All 19 words, with their numbers
  1. Deep Learning134 topics
  2. Bayesian Monte Carlo121 topic
  3. Markov Chain121 topic
  4. Semi-Supervised Learning82 topics
  5. Image Classification62 topics
  6. Domain Adaptation51 topic
  7. Transfer Learning51 topic
  8. Clustering41 topic
  9. Image Captioning41 topic
  10. Mixture Models41 topic
  11. Visual Question Answering41 topic
  12. Active Learning31 topic
  13. Cancer31 topic
  14. Convolutional Neural Networks31 topic
  15. Image Recognition31 topic
  16. Long Noncoding RNAs31 topic
  17. Machine Learning31 topic
  18. Magnetic Resonance Imaging31 topic
  19. Perfusion Imaging31 topic

Where does Yuansi Chen work?

Yuansi Chen's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does Yuansi Chen have?

OpenAlex counts 34 works and 439 citations for Yuansi Chen, an h-index of 10, ranking #2,279,653 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

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