Bao Wang
Bao Wang publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as Stochastic Gradient Optimization Techniques, Adversarial Robustness in Machine Learning and Domain Adaptation and Few-Shot Learning.
- World rank
- #1,249,382 of 1,633,909 ranked researchers
- Rank in United States
- #303,327 of 358,040
- Works
- 36
- Citations
- 46
- Citations per work
- 1.3
What does Bao Wang research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence35% of their works
- 2Computer Networks and Communications8% of their works
- 3Computer Vision and Pattern Recognition8% of their works
- 4Statistical and Nonlinear Physics4% of their works
- 5Computational Theory and Mathematics4% of their works
- 6Cardiology and Cardiovascular Medicine4% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Anomaly Detection Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Cell Image Analysis Techniques
- EEG and Brain-Computer Interfaces
Which keywords describe Bao Wang's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Convex Optimization, Machine Learning, Random Projections, Stochastic Gradient Descent, Adversarial Examples and Convolutional Neural Networks.
- High-Content Screening
- Brain-Computer Interfaces
- Unsupervised
- Compressed Sensing
- Transfer Learning
- Image Recognition
- Convolutional Neural Networks
- Stochastic Gradient Descent
- Machine Learning
- Neural Networks
- Deep Learning
- Convex Optimization
- Random Projections
- Adversarial Examples
- Domain Adaptation
- Robustness
- Anomaly Detection
- Sparse Representation
- Bioimage Analysis
- EEG Analysis
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 20 words, with their numbers
- Deep Learning135 topics
- Neural Networks93 topics
- Convex Optimization62 topics
- Machine Learning42 topics
- Random Projections41 topic
- Stochastic Gradient Descent41 topic
- Adversarial Examples31 topic
- Convolutional Neural Networks31 topic
- Domain Adaptation31 topic
- Image Recognition31 topic
- Robustness31 topic
- Transfer Learning31 topic
- Anomaly Detection21 topic
- Compressed Sensing21 topic
- Sparse Representation21 topic
- Unsupervised21 topic
- Bioimage Analysis11 topic
- Brain-Computer Interfaces11 topic
- EEG Analysis11 topic
- High-Content Screening11 topic
Where does Bao Wang work?
Bao Wang's main affiliation in the publication record is University of Utah, United States.
How many publications and citations does Bao Wang have?
Science Explorer counts 36 works and 46 citations for Bao Wang, ranking #1,249,382 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 Bao Wang
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