Yaochu Jin
Yaochu Jin publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, on topics such as Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research and Evolutionary Algorithms and Applications.
- World rank
- #10,546 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #686 of 367,258
- Works
- 1,021
- Citations
- 60k
- Citations per work
- 58.7
What does Yaochu Jin research?
Yaochu Jin's work is mostly in Computer Science (58%), Physics and Astronomy (4%), Biochemistry, Genetics and Molecular Biology (4%).
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
- Physical Sciences67365.9%
- Computer Science59658.4%
- Physics and Astronomy424.1%
- Engineering353.4%
- Everything else31130.5%
- Life Sciences373.6%
- 1Artificial Intelligence40% of their works
- 2Computational Theory and Mathematics14% of their works
- 3Computer Vision and Pattern Recognition4% of their works
- 4Nuclear and High Energy Physics4% of their works
- 5Molecular Biology4% of their works
- 6Control and Systems Engineering3% of their works
Research topics
- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Optimal Experimental Design Methods
- Gene Regulatory Network Analysis
- Machine Learning and Data Classification
- Privacy-Preserving Technologies in Data
Which keywords describe Yaochu Jin's research?
The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Multiobjective Optimization, Genetic Algorithm, Surrogate Modeling, Ant Colony Optimization, Differential Evolution and Classification.
- Differential Privacy
- Hyperparameter Optimization
- Gene Regulatory Networks
- Experimental Design
- Neural Networks
- Feature Selection
- Classification
- Ant Colony Optimization
- Genetic Algorithm
- Particle Swarm Optimization
- Evolutionary Algorithms
- Multiobjective Optimization
- Surrogate Modeling
- Differential Evolution
- Machine Learning
- Genetic Programming
- Self-Organizing Maps
- Optimization
- Stochastic Gene Expression
- Noisy Labels
- Federated Learning
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
- Evolutionary Algorithms1,0113 topics
- Particle Swarm Optimization7382 topics
- Multiobjective Optimization6492 topics
- Genetic Algorithm3761 topic
- Surrogate Modeling3761 topic
- Ant Colony Optimization3621 topic
- Differential Evolution3621 topic
- Classification3162 topics
- Machine Learning3142 topics
- Feature Selection2731 topic
- Genetic Programming2731 topic
- Neural Networks541 topic
- Self-Organizing Maps541 topic
- Experimental Design511 topic
- Optimization511 topic
- Gene Regulatory Networks461 topic
- Stochastic Gene Expression461 topic
- Hyperparameter Optimization431 topic
- Noisy Labels431 topic
- Differential Privacy411 topic
- Federated Learning411 topic
Where does Yaochu Jin work?
Yaochu Jin's main affiliation in the publication record is University of Surrey, United Kingdom.
How many publications and citations does Yaochu Jin have?
OpenAlex counts 1,021 works and 59,896 citations for Yaochu Jin, an h-index of 119, ranking #10,546 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.
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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