Sheng-Ta Hsieh
Sheng-Ta Hsieh publishes mostly in Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, on topics such as Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #1,484,775 of 1,633,909 ranked researchers
- Rank in Taiwan
- #8,779 of 9,848
- Works
- 22
- Citations
- 31
- Citations per work
- 1.4
What does Sheng-Ta Hsieh research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence26% of their works
- 2Signal Processing13% of their works
- 3Computational Theory and Mathematics8% of their works
- 4Electrical and Electronic Engineering8% of their works
- 5Cognitive Neuroscience8% of their works
- 6Hardware and Architecture5% of their works
Research topics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Blind Source Separation Techniques
- EEG and Brain-Computer Interfaces
- Spectroscopy and Chemometric Analyses
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
Which keywords describe Sheng-Ta Hsieh's research?
The keywords of their largest research topics: Evolutionary Algorithms, Multiobjective Optimization, Particle Swarm Optimization, Deep Learning, Neural Networks, Ant Colony Optimization, Blind Separation and Differential Evolution.
- Self-Organizing Maps
- Multivariate Calibration
- Brain-Computer Interfaces
- Anomaly Detection
- Machine Learning
- Genetic Programming
- Differential Evolution
- Ant Colony Optimization
- Deep Learning
- Multiobjective Optimization
- Evolutionary Algorithms
- Particle Swarm Optimization
- Neural Networks
- Blind Separation
- Genetic Algorithm
- Independent Component Analysis
- Surrogate Modeling
- Backpropagation Learning
- EEG Analysis
- Near-Infrared Spectroscopy
- Unsupervised
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 Algorithms93 topics
- Multiobjective Optimization62 topics
- Particle Swarm Optimization62 topics
- Deep Learning42 topics
- Neural Networks42 topics
- Ant Colony Optimization31 topic
- Blind Separation31 topic
- Differential Evolution31 topic
- Genetic Algorithm31 topic
- Genetic Programming31 topic
- Independent Component Analysis31 topic
- Machine Learning31 topic
- Surrogate Modeling31 topic
- Anomaly Detection21 topic
- Backpropagation Learning21 topic
- Brain-Computer Interfaces21 topic
- EEG Analysis21 topic
- Multivariate Calibration21 topic
- Near-Infrared Spectroscopy21 topic
- Self-Organizing Maps21 topic
- Unsupervised21 topic
Where does Sheng-Ta Hsieh work?
Sheng-Ta Hsieh's main affiliation in the publication record is Asia Eastern University of Science and Technology, Taiwan.
How many publications and citations does Sheng-Ta Hsieh have?
Science Explorer counts 22 works and 31 citations for Sheng-Ta Hsieh, ranking #1,484,775 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.