Rong Jin
Rong Jin publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Domain Adaptation and Few-Shot Learning, Anomaly Detection Techniques and Applications and Machine Learning and Data Classification.
- World rank
- #283,733 of 1,633,909 ranked researchers
- Rank in United States
- #108,226 of 358,040
- Works
- 33
- Citations
- 275
- Citations per work
- 8.3
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 Intelligence44% of their works
- 2Signal Processing12% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Management Science and Operations Research5% of their works
- 5Computational Mechanics3% of their works
- 6Control and Systems Engineering3% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Time Series Analysis and Forecasting
- Machine Learning and Algorithms
- Stochastic Gradient Optimization Techniques
- Sparse and Compressive Sensing Techniques
- Neural Networks and Applications
Which keywords describe Rong Jin's research?
The keywords of their largest research topics: Deep Learning, Meta-Learning, Neural Networks, Semi-Supervised Learning, Time Series, Convex Optimization, Domain Adaptation and Transfer Learning.
- Self-Organizing Maps
- Stochastic Gradient Descent
- Random Projections
- Compressed Sensing
- Unsupervised
- Hyperparameter Optimization
- Clustering
- Transfer Learning
- Convex Optimization
- Semi-Supervised Learning
- Meta-Learning
- Deep Learning
- Neural Networks
- Time Series
- Domain Adaptation
- Anomaly Detection
- Dynamic Time Warping
- Noisy Labels
- Active Learning
- Machine Learning
- Sparse Representation
- Backpropagation 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 22 words, with their numbers
- Deep Learning115 topics
- Meta-Learning72 topics
- Neural Networks63 topics
- Semi-Supervised Learning62 topics
- Time Series62 topics
- Convex Optimization42 topics
- Domain Adaptation41 topic
- Transfer Learning41 topic
- Anomaly Detection31 topic
- Clustering31 topic
- Dynamic Time Warping31 topic
- Hyperparameter Optimization31 topic
- Noisy Labels31 topic
- Unsupervised31 topic
- Active Learning21 topic
- Compressed Sensing21 topic
- Machine Learning21 topic
- Random Projections21 topic
- Sparse Representation21 topic
- Stochastic Gradient Descent21 topic
- Backpropagation Learning11 topic
- Self-Organizing Maps11 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 33 works and 275 citations for Rong Jin, ranking #283,733 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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