Belinda Zeng
Belinda Zeng publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Topic Modeling, Multimodal Machine Learning Applications and Domain Adaptation and Few-Shot Learning.
- World rank
- #2,728,438 of 7,710,434 ranked researchers
- Rank in United States
- #794,730 of 1,627,098
- Works
- 41
- Citations
- 531
- Citations per work
- 13.0
What does Belinda Zeng research?
Belinda Zeng's work is mostly in Computer Science (97%), Materials Science (1%), Decision Sciences (1%).
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 Sciences4098.3%
- Computer Science4097.4%
- Materials Science00.9%
- Social Sciences00.9%
- Decision Sciences00.9%
- 1Artificial Intelligence60% of their works
- 2Computer Vision and Pattern Recognition33% of their works
- 3Signal Processing4% of their works
- 4Materials Chemistry1% of their works
- 5Information Systems1% of their works
- 6Management Science and Operations Research1% of their works
Research topics
Which keywords describe Belinda Zeng's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Representation Learning, Machine Translation, Word Representation, Image Captioning, Semi-Supervised Learning and Visual Question Answering.
- Opinion Mining
- Generative Adversarial Networks
- Graph Neural Networks
- Feature Matching
- Neural Machine Translation
- Domain Adaptation
- Visual Question Answering
- Image Captioning
- Machine Translation
- Deep Learning
- Neural Networks
- Representation Learning
- Word Representation
- Semi-Supervised Learning
- Unsupervised Learning
- Transfer Learning
- Statistical Machine Translation
- Local Descriptors
- Knowledge Graph Embedding
- Image Synthesis
- Sentiment 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. 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
- Neural Networks423 topics
- Deep Learning365 topics
- Representation Learning223 topics
- Machine Translation201 topic
- Word Representation201 topic
- Image Captioning181 topic
- Semi-Supervised Learning182 topics
- Visual Question Answering181 topic
- Unsupervised Learning172 topics
- Domain Adaptation131 topic
- Transfer Learning131 topic
- Neural Machine Translation121 topic
- Statistical Machine Translation121 topic
- Feature Matching61 topic
- Local Descriptors61 topic
- Graph Neural Networks51 topic
- Knowledge Graph Embedding51 topic
- Generative Adversarial Networks41 topic
- Image Synthesis41 topic
- Opinion Mining31 topic
- Sentiment Analysis31 topic
Where does Belinda Zeng work?
Belinda Zeng's main affiliation in the publication record is Amazon (United States), United States.
How many publications and citations does Belinda Zeng have?
OpenAlex counts 41 works and 531 citations for Belinda Zeng, an h-index of 8, ranking #2,728,438 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.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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