Bin Shen
Bin Shen publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Rough Sets and Fuzzy Logic, Image Retrieval and Classification Techniques and Advanced Computational Techniques and Applications.
- World rank
- #1,286,864 of 1,633,909 ranked researchers
- Rank in United States
- #308,924 of 358,040
- Works
- 21
- Citations
- 34
- Citations per work
- 1.6
What does Bin Shen research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition31% of their works
- 2Artificial Intelligence17% of their works
- 3Information Systems10% of their works
- 4Computational Theory and Mathematics10% of their works
- 5Computational Mechanics7% of their works
- 6Control and Systems Engineering3% of their works
Research topics
- Rough Sets and Fuzzy Logic
- Image Retrieval and Classification Techniques
- Advanced Computational Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Sparse and Compressive Sensing Techniques
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
Which keywords describe Bin Shen's research?
The keywords of their largest research topics: Feature Selection, Local Binary Patterns, Machine Learning, Sparse Representation, Content-Based Image Retrieval, Deep Learning, Granular Computing and Rough Sets.
- Knowledge Graph Embedding
- Domain Adaptation
- Signal Recovery
- Representation Learning
- Feature Matching
- Expert Systems
- Compressed Sensing
- Rough Sets
- Deep Learning
- Sparse Representation
- Local Binary Patterns
- Feature Selection
- Machine Learning
- Content-Based Image Retrieval
- Granular Computing
- Shape Matching
- Dimensionality Reduction
- Face Recognition
- Local Descriptors
- Semi-Supervised Learning
- Wavelet Analysis
- Graph Neural Networks
- Transfer Learning
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 23 words, with their numbers
- Feature Selection52 topics
- Local Binary Patterns52 topics
- Machine Learning52 topics
- Sparse Representation42 topics
- Content-Based Image Retrieval31 topic
- Deep Learning32 topics
- Granular Computing31 topic
- Rough Sets31 topic
- Shape Matching31 topic
- Compressed Sensing21 topic
- Dimensionality Reduction21 topic
- Expert Systems21 topic
- Face Recognition21 topic
- Feature Matching21 topic
- Local Descriptors21 topic
- Representation Learning22 topics
- Semi-Supervised Learning22 topics
- Signal Recovery21 topic
- Wavelet Analysis21 topic
- Domain Adaptation11 topic
- Graph Neural Networks11 topic
- Knowledge Graph Embedding11 topic
- Transfer Learning11 topic
Where does Bin Shen work?
Bin Shen's main affiliation in the publication record is Purdue University West Lafayette, United States.
How many publications and citations does Bin Shen have?
Science Explorer counts 21 works and 34 citations for Bin Shen, ranking #1,286,864 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.
Other researchers named Bin Shen
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