Science Explorer Interactive view Map

Ke Tang

Ke Tang publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology, on topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms and Evolutionary Algorithms and Applications.

World rank
#37,984
of 1,633,909 ranked researchers
Rank in China
#775
of 187,979
Works
122
Citations
1.1k
Citations per work
8.7

What does Ke Tang research?

Artificial Intelligence: 30.3%Computational Theory and Mathematics: 11.0%Molecular Biology: 5.8%Electrical and Electronic Engineering: 5.2%other fields: 47.7%30%top field
Artificial Intelligence30.3%Computational Theory and Mathematics11.0%Molecular Biology5.8%Electrical and Electronic Engineering5.2%other fields47.7%

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

  1. 1Artificial Intelligence30% of their works
  2. 2Computational Theory and Mathematics11% of their works
  3. 3Molecular Biology6% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Computer Vision and Pattern Recognition4% of their works
  6. 6Aerospace Engineering3% of their works

Research topics

Which keywords describe Ke Tang's research?

The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Multiobjective Optimization, Ant Colony Optimization, Differential Evolution, Genetic Algorithm, Machine Learning and Surrogate Modeling.

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 21 words, with their numbers
  1. Evolutionary Algorithms423 topics
  2. Particle Swarm Optimization312 topics
  3. Multiobjective Optimization252 topics
  4. Ant Colony Optimization171 topic
  5. Differential Evolution171 topic
  6. Genetic Algorithm141 topic
  7. Machine Learning142 topics
  8. Surrogate Modeling141 topic
  9. Classification111 topic
  10. Genetic Programming111 topic
  11. Deep Learning52 topics
  12. Active Learning31 topic
  13. Semi-Supervised Learning31 topic
  14. Click Chemistry21 topic
  15. Copper-Catalyzed Cycloaddition21 topic
  16. Gene Set Enrichment Analysis21 topic
  17. Innate Immunity21 topic
  18. Neural Networks21 topic
  19. Protein-Protein Interaction Networks21 topic
  20. Reinforcement Learning21 topic
  21. Viral Infection21 topic

Where does Ke Tang work?

Ke Tang's main affiliation in the publication record is University of Science and Technology of China, China.

How many publications and citations does Ke Tang have?

Science Explorer counts 122 works and 1,062 citations for Ke Tang, ranking #37,984 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 Tang

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.