Question 1

What does Ming Yuan research?

Accepted Answer

Ming Yuan publishes mostly in Statistics and Probability, Molecular Biology and Artificial Intelligence, on topics such as Statistical Methods and Inference, Sparse and Compressive Sensing Techniques and Advanced Statistical Methods and Models.

Question 2

Which keywords describe Ming Yuan's research?

Accepted Answer

The keywords of their largest research topics: Sparse Representation, Regularization, Variable Selection, Machine Learning, Compressed Sensing, Signal Recovery, Clustering and Feature Selection.

Question 3

Where does Ming Yuan work?

Accepted Answer

Ming Yuan's main affiliation in the publication record is University of Wisconsin–Madison, United States.

Question 4

How many publications and citations does Ming Yuan have?

Accepted Answer

OpenAlex counts 337 works and 18,183 citations for Ming Yuan, an h-index of 48, ranking #336,114 of 7,710,434 researchers worldwide on the quality score.

Question 5

Is Ming Yuan's h-index high?

Accepted Answer

An h-index of 48 is at or above that of 97% of the 14,819 ranked researchers whose main subfield is Statistics and Probability, which is in the top 3.2%.