Ran Cheng
Ran Cheng publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research and Evolutionary Algorithms and Applications.
- World rank
- #120,633 of 7,710,434 ranked researchers
- Rank in China
- #10,896 of 978,568
- Works
- 363
- Citations
- 20k
- Citations per work
- 54.5
What does Ran Cheng research?
Ran Cheng's work is mostly in Computer Science (52%), Engineering (13%).
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 Sciences23464.4%
- Computer Science18851.7%
- Engineering4612.7%
- Everything else12935.6%
- 1Artificial Intelligence29% of their works
- 2Computer Vision and Pattern Recognition12% of their works
- 3Computational Theory and Mathematics11% of their works
- 4Electrical and Electronic Engineering8% of their works
- 5Aerospace Engineering3% of their works
- 6Control and Systems Engineering2% of their works
Research topics
- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Neural Network Applications
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Machine Learning and Data Classification
- Robotics and Sensor-Based Localization
Which keywords describe Ran Cheng'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.
- SLAM
- Noisy Labels
- Visual Question Answering
- Transfer Learning
- Image Recognition
- Meta-Learning
- Machine Learning
- Classification
- Ant Colony Optimization
- Genetic Algorithm
- Particle Swarm Optimization
- Evolutionary Algorithms
- Multiobjective Optimization
- Surrogate Modeling
- Differential Evolution
- Genetic Programming
- Deep Learning
- Convolutional Neural Networks
- Domain Adaptation
- Image Captioning
- Hyperparameter Optimization
- 3D Mapping
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 22 words, with their numbers
- Evolutionary Algorithms2833 topics
- Particle Swarm Optimization2042 topics
- Multiobjective Optimization1852 topics
- Genetic Algorithm1061 topic
- Surrogate Modeling1061 topic
- Ant Colony Optimization981 topic
- Differential Evolution981 topic
- Classification942 topics
- Genetic Programming791 topic
- Machine Learning791 topic
- Deep Learning532 topics
- Meta-Learning372 topics
- Convolutional Neural Networks351 topic
- Image Recognition351 topic
- Domain Adaptation221 topic
- Transfer Learning221 topic
- Image Captioning181 topic
- Visual Question Answering181 topic
- Hyperparameter Optimization151 topic
- Noisy Labels151 topic
- 3D Mapping131 topic
- SLAM131 topic
Where does Ran Cheng work?
Ran Cheng's main affiliation in the publication record is Southern University of Science and Technology, China.
How many publications and citations does Ran Cheng have?
OpenAlex counts 363 works and 19,784 citations for Ran Cheng, an h-index of 56, ranking #120,633 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.
Other researchers named Ran Cheng
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