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Researcher · University of Wisconsin–Madison · United States

Ming Yuan

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.

ORCID 0000-0002-4415-8606 OpenAlex
World rank
#336,114
of 7,710,434 ranked researchers
Rank in United States
#120,946
of 1,627,098
Works
337
Citations
18k
Citations per work
54.0
h-index
48
i10-index 114Top 3.2% in Statistics and Probability
Ming Yuan

What does Ming Yuan research?

Ming Yuan's work is mostly in Mathematics (17%), Engineering (11%), Biochemistry, Genetics and Molecular Biology (11%).

Everything else: 173 works · 51.2% of their workPhysical Sciences: 129 works · 38.2% of their workMathematics: 59 works · 17.5% of their workStatistics and Probability: 48 works · 14.1% of their workComputational Mathematics: 11 works · 3.4% of their workEngineering: 36 works · 10.8% of their workComputational Mechanics: 20 works · 6.0% of their workControl and Systems Engineering: 16 works · 4.8% of their workComputer Science: 33 works · 9.9% of their workArtificial Intelligence: 33 works · 9.9% of their workLife Sciences: 36 works · 10.6% of their workBiochemistry, Genetics and Molecular Biology: 36 works · 10.6% of their workMolecular Biology: 36 works · 10.6% of their workTHEIR WORKMing Yuan337works
Life Sciences11%Physical Sciences38%

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. Everything else17351.2%
    1. Mathematics5917.5%
    2. Engineering3610.8%
    3. Computer Science339.9%
    1. Biochemistry, Genetics and Molecular Biology3610.6%
  1. 1Statistics and Probability14% of their works
  2. 2Molecular Biology11% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Computational Mechanics6% of their works
  5. 5Control and Systems Engineering5% of their works
  6. 6Computational Mathematics3% of their works

Research topics

Which keywords describe Ming Yuan's research?

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

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 20 words, with their numbers
  1. Sparse Representation743 topics
  2. Regularization671 topic
  3. Variable Selection671 topic
  4. Machine Learning512 topics
  5. Compressed Sensing481 topic
  6. Signal Recovery481 topic
  7. Clustering372 topics
  8. Feature Selection342 topics
  9. Multicollinearity321 topic
  10. Regression Analysis321 topic
  11. Multilinear Algebra291 topic
  12. Tensor Decomposition291 topic
  13. Gene Expression221 topic
  14. Microarray221 topic
  15. Bayesian Inference151 topic
  16. Mixture Models151 topic
  17. Blind Separation141 topic
  18. Independent Component Analysis141 topic
  19. Dimensionality Reduction121 topic
  20. Face Recognition121 topic

Where does Ming Yuan work?

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

How many publications and citations does Ming Yuan have?

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.

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.

Other researchers named Ming Yuan

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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