Shengxiang Yang
Shengxiang Yang 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
- #35,505 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #2,767 of 367,258
- Works
- 596
- Citations
- 22k
- Citations per work
- 36.7
What does Shengxiang Yang research?
Shengxiang Yang's work is mostly in Computer Science (68%), Engineering (11%).
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 Sciences47579.7%
- Computer Science40868.4%
- Engineering6711.3%
- Everything else12120.3%
- 1Artificial Intelligence42% of their works
- 2Computational Theory and Mathematics19% of their works
- 3Industrial and Manufacturing Engineering7% of their works
- 4Control and Systems Engineering4% of their works
- 5Computer Networks and Communications4% of their works
- 6Computer Vision and Pattern Recognition3% of their works
Research topics
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Vehicle Routing Optimization Methods
- Scheduling and Optimization Algorithms
- Optimal Experimental Design Methods
- Data Stream Mining Techniques
- Robotic Path Planning Algorithms
Which keywords describe Shengxiang Yang'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 Bayesian Optimization.
- Optimal Motion Planning
- Concept Drift
- Experimental Design
- Manufacturing
- Heuristic Algorithms
- Genetic Programming
- Bayesian Optimization
- Differential Evolution
- Metaheuristics
- Particle Swarm Optimization
- Evolutionary Algorithms
- Multiobjective Optimization
- Ant Colony Optimization
- Genetic Algorithm
- Surrogate Modeling
- Machine Learning
- Vehicle Routing Problem
- Scheduling
- Optimization
- Data Streams
- Sampling-Based Algorithms
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 21 words, with their numbers
- Evolutionary Algorithms9113 topics
- Particle Swarm Optimization6882 topics
- Multiobjective Optimization5422 topics
- Metaheuristics4182 topics
- Ant Colony Optimization3691 topic
- Differential Evolution3691 topic
- Genetic Algorithm3532 topics
- Bayesian Optimization3191 topic
- Surrogate Modeling3191 topic
- Genetic Programming2231 topic
- Machine Learning2231 topic
- Heuristic Algorithms491 topic
- Vehicle Routing Problem491 topic
- Manufacturing341 topic
- Scheduling341 topic
- Experimental Design201 topic
- Optimization201 topic
- Concept Drift191 topic
- Data Streams191 topic
- Optimal Motion Planning191 topic
- Sampling-Based Algorithms191 topic
Where does Shengxiang Yang work?
Shengxiang Yang's main affiliation in the publication record is De Montfort University, United Kingdom.
How many publications and citations does Shengxiang Yang have?
OpenAlex counts 596 works and 21,902 citations for Shengxiang Yang, an h-index of 72, ranking #35,505 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.
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