Kay Chen Tan
Kay Chen Tan publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, on topics such as Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms and Evolutionary Algorithms and Applications.
- World rank
- #9,316 of 7,710,434 ranked researchers
- Rank in Singapore
- #66 of 23,642
- Works
- 870
- Citations
- 34k
- Citations per work
- 39.5
What does Kay Chen Tan research?
Kay Chen Tan's work is mostly in Computer Science (49%), Engineering (16%), Neuroscience (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 Sciences56364.7%
- Computer Science42649.0%
- Engineering13715.7%
- Everything else26930.9%
- Life Sciences384.4%
- Neuroscience384.4%
- 1Artificial Intelligence36% of their works
- 2Computational Theory and Mathematics13% of their works
- 3Industrial and Manufacturing Engineering6% of their works
- 4Control and Systems Engineering5% of their works
- 5Electrical and Electronic Engineering4% of their works
- 6Cognitive Neuroscience4% of their works
Research topics
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- Neural Networks and Applications
- Vehicle Routing Optimization Methods
- Neural Networks and Reservoir Computing
Which keywords describe Kay Chen Tan'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.
- Photonic Reservoir Computing
- Vehicle Routing Problem
- Self-Organizing Maps
- Neuronal Oscillations
- Neuromorphic Computing
- Neural Networks
- Classification
- Surrogate Modeling
- Differential Evolution
- Metaheuristics
- Particle Swarm Optimization
- Evolutionary Algorithms
- Multiobjective Optimization
- Ant Colony Optimization
- Genetic Algorithm
- Machine Learning
- Genetic Programming
- Memristor
- Cortical Networks
- Backpropagation Learning
- Heuristic Algorithms
- Neuromorphic Photonics
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
- Evolutionary Algorithms7913 topics
- Particle Swarm Optimization5742 topics
- Multiobjective Optimization4922 topics
- Metaheuristics3412 topics
- Ant Colony Optimization2991 topic
- Differential Evolution2991 topic
- Genetic Algorithm2751 topic
- Surrogate Modeling2751 topic
- Machine Learning2492 topics
- Classification2171 topic
- Genetic Programming2171 topic
- Neural Networks1222 topics
- Memristor631 topic
- Neuromorphic Computing631 topic
- Cortical Networks621 topic
- Neuronal Oscillations621 topic
- Backpropagation Learning591 topic
- Self-Organizing Maps591 topic
- Heuristic Algorithms421 topic
- Vehicle Routing Problem421 topic
- Neuromorphic Photonics321 topic
- Photonic Reservoir Computing321 topic
Where does Kay Chen Tan work?
Kay Chen Tan's main affiliation in the publication record is National University of Singapore, Singapore.
How many publications and citations does Kay Chen Tan have?
OpenAlex counts 870 works and 34,399 citations for Kay Chen Tan, an h-index of 97, ranking #9,316 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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