Science Explorer Interactive view Map

Ke Ma

Ke Ma publishes mostly in Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Domain Adaptation and Few-Shot Learning and Iron and Steelmaking Processes.

World rank
#1,568,155
of 1,633,909 ranked researchers
Rank in China
#175,726
of 187,979
Works
18
Citations
24
Citations per work
1.3

What does Ke Ma research?

Artificial Intelligence: 25.8%Mechanical Engineering: 19.4%Computer Vision and Pattern Recognition: 12.9%Electrical and Electronic Engineering: 9.7%other fields: 32.2%26%top field
Artificial Intelligence25.8%Mechanical Engineering19.4%Computer Vision and Pattern Recognition12.9%Electrical and Electronic Engineering9.7%other fields32.2%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence26% of their works
  2. 2Mechanical Engineering19% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Electrical and Electronic Engineering10% of their works
  5. 5Computational Mechanics6% of their works
  6. 6Control and Systems Engineering6% of their works

Research topics

Which keywords describe Ke Ma's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Adversarial Examples, Domain Adaptation, Ensemble Learning, Incremental Learning, Iron Oxides and Reduction Kinetics.

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. Neural Networks43 topics
  2. Deep Learning32 topics
  3. Adversarial Examples21 topic
  4. Domain Adaptation21 topic
  5. Ensemble Learning22 topics
  6. Incremental Learning22 topics
  7. Iron Oxides21 topic
  8. Reduction Kinetics21 topic
  9. Robustness21 topic
  10. Transfer Learning21 topic
  11. Clustering Algorithms11 topic
  12. Concept Drift11 topic
  13. Data Streams11 topic
  14. Extreme Learning Machine11 topic
  15. Feedforward Networks11 topic
  16. K-means11 topic
  17. Log Analysis11 topic
  18. Performance Prediction11 topic
  19. Reinforcement Learning11 topic
  20. Robotics11 topic

Where does Ke Ma work?

Ke Ma's main affiliation in the publication record is Chinese Academy of Sciences, China.

How many publications and citations does Ke Ma have?

Science Explorer counts 18 works and 24 citations for Ke Ma, ranking #1,568,155 of 1,633,909 researchers worldwide on the composite 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 Ke Ma

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