Joseph Wang
Joseph Wang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Machine Learning and Data Classification, Machine Learning and Algorithms and Domain Adaptation and Few-Shot Learning.
- World rank
- #3,454,739 of 7,710,434 ranked researchers
- Rank in United States
- #968,721 of 1,627,098
- Works
- 44
- Citations
- 576
- Citations per work
- 13.1
What does Joseph Wang research?
Joseph Wang's work is mostly in Computer Science (59%), Engineering (8%), Decision Sciences (4%).
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 Sciences2966.9%
- Computer Science2659.3%
- Engineering37.6%
- Everything else1328.9%
- Social Sciences24.2%
- Decision Sciences24.2%
- 1Artificial Intelligence36% of their works
- 2Computer Vision and Pattern Recognition15% of their works
- 3Electrical and Electronic Engineering8% of their works
- 4Computer Networks and Communications6% of their works
- 5Management Science and Operations Research4% of their works
- 6Computational Theory and Mathematics2% of their works
Research topics
Which keywords describe Joseph Wang's research?
The keywords of their largest research topics: Deep Learning, Meta-Learning, Hyperparameter Optimization, Semi-Supervised Learning, Instance Selection, Noisy Labels, Active Learning and Machine Learning.
- Self-Organizing Maps
- Feature Matching
- Anomaly Detection
- Bandit Optimization
- Face Recognition
- Dimensionality Reduction
- Machine Learning
- Noisy Labels
- Semi-Supervised Learning
- Meta-Learning
- Deep Learning
- Hyperparameter Optimization
- Instance Selection
- Active Learning
- Neural Networks
- Domain Adaptation
- Transfer Learning
- Bayesian Optimization
- Backpropagation Learning
- Local Descriptors
- Unsupervised
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 21 words, with their numbers
- Deep Learning184 topics
- Meta-Learning152 topics
- Hyperparameter Optimization142 topics
- Semi-Supervised Learning142 topics
- Instance Selection101 topic
- Noisy Labels101 topic
- Active Learning91 topic
- Machine Learning91 topic
- Neural Networks62 topics
- Dimensionality Reduction51 topic
- Domain Adaptation51 topic
- Face Recognition51 topic
- Transfer Learning51 topic
- Bandit Optimization41 topic
- Bayesian Optimization41 topic
- Anomaly Detection31 topic
- Backpropagation Learning31 topic
- Feature Matching31 topic
- Local Descriptors31 topic
- Self-Organizing Maps31 topic
- Unsupervised31 topic
Where does Joseph Wang work?
Joseph Wang's main affiliation in the publication record is Boston University, United States.
How many publications and citations does Joseph Wang have?
OpenAlex counts 44 works and 576 citations for Joseph Wang, an h-index of 13, ranking #3,454,739 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 Joseph Wang
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