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Researcher · Zhengzhou University · China

Caitong Yue

Caitong Yue publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering, on topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms and Evolutionary Algorithms and Applications.

ORCID 0000-0002-3362-0703 OpenAlex
World rank
#93,928
of 7,710,434 ranked researchers
Rank in China
#7,983
of 978,568
Works
154
Citations
5.7k
Citations per work
37.0
h-index
35
i10-index 67Top 3.1% in Artificial Intelligence
Caitong Yue

What does Caitong Yue research?

Caitong Yue's work is mostly in Computer Science (63%), Engineering (15%).

Physical Sciences: 120 works · 78.1% of their workComputer Science: 97 works · 62.8% of their workArtificial Intelligence: 60 works · 39.1% of their workComputational Theory and Mathematics: 31 works · 20.0% of their workComputer Vision and Pattern Recognition: 6 works · 3.7% of their workEngineering: 24 works · 15.3% of their workControl and Systems Engineering: 9 works · 5.6% of their workIndustrial and Manufacturing Engineering: 8 works · 5.3% of their workElectrical and Electronic Engineering: 7 works · 4.4% of their workEverything else: 34 works · 21.9% of their workTHEIR WORKCaitong Yue154works
Physical Sciences78%

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. Computer Science9762.8%
    2. Engineering2415.3%
  2. Everything else3421.9%
  1. 1Artificial Intelligence39% of their works
  2. 2Computational Theory and Mathematics20% of their works
  3. 3Control and Systems Engineering6% of their works
  4. 4Industrial and Manufacturing Engineering5% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Caitong Yue's research?

The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Multiobjective Optimization, Metaheuristics, Ant Colony Optimization, Differential Evolution, 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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Evolutionary Algorithms2223 topics
  2. Particle Swarm Optimization1762 topics
  3. Multiobjective Optimization1302 topics
  4. Metaheuristics982 topics
  5. Ant Colony Optimization921 topic
  6. Differential Evolution921 topic
  7. Genetic Algorithm841 topic
  8. Surrogate Modeling841 topic
  9. Classification593 topics
  10. Feature Selection532 topics
  11. Genetic Programming461 topic
  12. Machine Learning461 topic
  13. Dimensionality Reduction71 topic
  14. Extreme Learning Machine71 topic
  15. Face Recognition71 topic
  16. Feedforward Networks71 topic
  17. Heuristic Algorithms61 topic
  18. Hyperparameter Optimization61 topic
  19. Noisy Labels61 topic
  20. Order Picking61 topic
  21. Vehicle Routing Problem61 topic
  22. Warehouse Design61 topic

Where does Caitong Yue work?

Caitong Yue's main affiliation in the publication record is Zhengzhou University, China.

How many publications and citations does Caitong Yue have?

OpenAlex counts 154 works and 5,693 citations for Caitong Yue, an h-index of 35, ranking #93,928 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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 have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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