A. K. Qin
A. K. Qin publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #72,681 of 1,633,909 ranked researchers
- Rank in Australia
- #1,934 of 35,497
- Works
- 68
- Citations
- 582
- Citations per work
- 8.6
What does A. K. Qin research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence38% of their works
- 2Computer Vision and Pattern Recognition10% of their works
- 3Computational Theory and Mathematics6% of their works
- 4Electrical and Electronic Engineering4% of their works
- 5Information Systems3% of their works
- 6Computer Networks and Communications3% of their works
Research topics
Which keywords describe A. K. Qin's research?
The keywords of their largest research topics: Evolutionary Algorithms, Classification, Particle Swarm Optimization, Multiobjective Optimization, Feature Selection, Machine Learning, Support Vector Machines and Ant Colony Optimization.
- Backpropagation Learning
- Hyperspectral
- Extreme Learning Machine
- Face Recognition
- Differential Privacy
- Surrogate Modeling
- Genetic Programming
- Deep Learning
- Ant Colony Optimization
- Machine Learning
- Multiobjective Optimization
- Classification
- Evolutionary Algorithms
- Particle Swarm Optimization
- Feature Selection
- Support Vector Machines
- Differential Evolution
- Genetic Algorithm
- Neural Networks
- Symbolic Regression
- Dimensionality Reduction
- Federated Learning
- Feedforward Networks
- Image Analysis
- Self-Organizing Maps
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 25 words, with their numbers
- Evolutionary Algorithms163 topics
- Classification113 topics
- Particle Swarm Optimization112 topics
- Multiobjective Optimization102 topics
- Feature Selection92 topics
- Machine Learning92 topics
- Support Vector Machines72 topics
- Ant Colony Optimization61 topic
- Differential Evolution61 topic
- Deep Learning52 topics
- Genetic Algorithm51 topic
- Genetic Programming51 topic
- Neural Networks52 topics
- Surrogate Modeling51 topic
- Symbolic Regression51 topic
- Differential Privacy41 topic
- Dimensionality Reduction41 topic
- Face Recognition41 topic
- Federated Learning41 topic
- Extreme Learning Machine31 topic
- Feedforward Networks31 topic
- Hyperspectral31 topic
- Image Analysis31 topic
- Backpropagation Learning21 topic
- Self-Organizing Maps21 topic
Where does A. K. Qin work?
A. K. Qin's main affiliation in the publication record is Swinburne University of Technology, Australia.
How many publications and citations does A. K. Qin have?
Science Explorer counts 68 works and 582 citations for A. K. Qin, ranking #72,681 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.