Bingzhe Wu
Bingzhe Wu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Privacy-Preserving Technologies in Data, Topic Modeling and Adversarial Robustness in Machine Learning.
- World rank
- #698,304 of 7,710,434 ranked researchers
- Rank in China
- #91,928 of 978,568
- Works
- 115
- Citations
- 1.3k
- Citations per work
- 11.5
What does Bingzhe Wu research?
Bingzhe Wu's work is mostly in Computer Science (69%), Biochemistry, Genetics and Molecular Biology (2%), Physics and Astronomy (2%).
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 Sciences8170.8%
- Computer Science8069.2%
- Physics and Astronomy21.6%
- Everything else3126.9%
- Life Sciences32.3%
- 1Artificial Intelligence51% of their works
- 2Computer Vision and Pattern Recognition12% of their works
- 3Information Systems5% of their works
- 4Molecular Biology2% of their works
- 5Statistical and Nonlinear Physics2% of their works
- 6Computational Theory and Mathematics2% of their works
Research topics
Which keywords describe Bingzhe Wu's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Differential Privacy, Federated Learning, Representation Learning, Semi-Supervised Learning and Adversarial Examples.
- Statistical Machine Translation
- Domain Adaptation
- Random Projections
- Convolutional Neural Networks
- Graph Neural Networks
- Robustness
- Adversarial Examples
- Representation Learning
- Differential Privacy
- Neural Networks
- Deep Learning
- Machine Learning
- Federated Learning
- Semi-Supervised Learning
- Machine Translation
- Word Representation
- Knowledge Graph Embedding
- Image Recognition
- Stochastic Gradient Descent
- Neural Machine Translation
- Transfer 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. 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 Learning514 topics
- Neural Networks443 topics
- Machine Learning412 topics
- Differential Privacy241 topic
- Federated Learning241 topic
- Representation Learning222 topics
- Semi-Supervised Learning222 topics
- Adversarial Examples171 topic
- Machine Translation171 topic
- Robustness171 topic
- Word Representation171 topic
- Graph Neural Networks141 topic
- Knowledge Graph Embedding141 topic
- Convolutional Neural Networks101 topic
- Image Recognition101 topic
- Random Projections101 topic
- Stochastic Gradient Descent101 topic
- Domain Adaptation81 topic
- Neural Machine Translation81 topic
- Statistical Machine Translation81 topic
- Transfer Learning81 topic
Where does Bingzhe Wu work?
Bingzhe Wu's main affiliation in the publication record is Tencent (China), China.
How many publications and citations does Bingzhe Wu have?
OpenAlex counts 115 works and 1,324 citations for Bingzhe Wu, an h-index of 21, ranking #698,304 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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