Question 1

What does Yuansi Chen research?

Accepted Answer

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.

Question 2

Which keywords describe Yuansi Chen's research?

Accepted Answer

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.

Question 3

Where does Yuansi Chen work?

Accepted Answer

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

Question 4

How many publications and citations does Yuansi Chen have?

Accepted Answer

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.

Question 5

Is Yuansi Chen's h-index high?

Accepted Answer

An h-index of 10 is at or above that of 63% of the 146,054 ranked researchers whose main subfield is Artificial Intelligence, which is in the top 42%.