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Researcher · University of Toyama · Japan

Shangce Gao

Shangce Gao 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 Neural Networks and Applications.

ORCID 0000-0001-5042-3261 OpenAlex
World rank
#253,606
of 1,633,909 ranked researchers
Rank in Japan
#7,350
of 114,622
Works
96
Citations
468
Citations per work
4.9

What does Shangce Gao research?

Artificial Intelligence: 34.1%Computational Theory and Mathematics: 8.9%Molecular Biology: 8.9%Electrical and Electronic Engineering: 7.3%other fields: 40.8%34%top field
Artificial Intelligence34.1%Computational Theory and Mathematics8.9%Molecular Biology8.9%Electrical and Electronic Engineering7.3%other fields40.8%

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

  1. 1Artificial Intelligence34% of their works
  2. 2Computational Theory and Mathematics9% of their works
  3. 3Molecular Biology9% of their works
  4. 4Electrical and Electronic Engineering7% of their works
  5. 5Computer Vision and Pattern Recognition6% of their works
  6. 6Industrial and Manufacturing Engineering5% of their works

Research topics

Which keywords describe Shangce Gao's research?

The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Differential Evolution, Multiobjective Optimization, Neural Networks, Genetic Algorithm 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 22 words, with their numbers
  1. Evolutionary Algorithms323 topics
  2. Particle Swarm Optimization292 topics
  3. Ant Colony Optimization191 topic
  4. Differential Evolution191 topic
  5. Multiobjective Optimization132 topics
  6. Neural Networks112 topics
  7. Genetic Algorithm101 topic
  8. Surrogate Modeling101 topic
  9. Backpropagation Learning71 topic
  10. Classification72 topics
  11. Self-Organizing Maps71 topic
  12. Feature Selection62 topics
  13. Artificial Immune Systems41 topic
  14. Extreme Learning Machine41 topic
  15. Feedforward Networks41 topic
  16. Immune System41 topic
  17. Dimensionality Reduction31 topic
  18. Economic Dispatch31 topic
  19. Face Recognition31 topic
  20. Genetic Programming31 topic
  21. Machine Learning31 topic
  22. Unit Commitment31 topic

Where does Shangce Gao work?

Shangce Gao's main affiliation in the publication record is University of Toyama, Japan.

How many publications and citations does Shangce Gao have?

Science Explorer counts 96 works and 468 citations for Shangce Gao, ranking #253,606 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.

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.