Rong Jin
Rong Jin publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning and Stochastic Gradient Optimization Techniques.
- World rank
- #271,887 of 1,633,909 ranked researchers
- Rank in United States
- #104,632 of 358,040
- Works
- 101
- Citations
- 649
- Citations per work
- 6.4
What does Rong Jin research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence34% of their works
- 2Computer Vision and Pattern Recognition32% of their works
- 3Computational Mechanics6% of their works
- 4Management Science and Operations Research5% of their works
- 5Signal Processing2% of their works
- 6Computer Networks and Communications2% of their works
Research topics
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Stochastic Gradient Optimization Techniques
- Multimodal Machine Learning Applications
- Sparse and Compressive Sensing Techniques
- Image Retrieval and Classification Techniques
- Advanced Bandit Algorithms Research
- Face and Expression Recognition
Which keywords describe Rong Jin's research?
The keywords of their largest research topics: Deep Learning, Convex Optimization, Neural Networks, Feature Matching, Local Descriptors, Sparse Representation, Local Binary Patterns and Domain Adaptation.
- Dimensionality Reduction
- Content-Based Image Retrieval
- Bandit Optimization
- Stochastic Gradient Descent
- Random Projections
- Compressed Sensing
- Domain Adaptation
- Sparse Representation
- Feature Matching
- Convex Optimization
- Deep Learning
- Neural Networks
- Local Descriptors
- Local Binary Patterns
- Transfer Learning
- Image Captioning
- Signal Recovery
- Visual Question Answering
- Bayesian Optimization
- Shape Matching
- Face Recognition
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
- Deep Learning343 topics
- Convex Optimization253 topics
- Neural Networks182 topics
- Feature Matching161 topic
- Local Descriptors161 topic
- Sparse Representation152 topics
- Local Binary Patterns132 topics
- Domain Adaptation111 topic
- Transfer Learning111 topic
- Compressed Sensing91 topic
- Image Captioning91 topic
- Random Projections91 topic
- Signal Recovery91 topic
- Stochastic Gradient Descent91 topic
- Visual Question Answering91 topic
- Bandit Optimization71 topic
- Bayesian Optimization71 topic
- Content-Based Image Retrieval71 topic
- Shape Matching71 topic
- Dimensionality Reduction61 topic
- Face Recognition61 topic
Where does Rong Jin work?
Rong Jin's main affiliation in the publication record is Michigan State University, United States.
How many publications and citations does Rong Jin have?
Science Explorer counts 101 works and 649 citations for Rong Jin, ranking #271,887 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 Rong Jin
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