Yu Yang
Yu Yang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Vision and Imaging.
- World rank
- #5,301,406 of 7,710,434 ranked researchers
- Rank in China
- #779,997 of 978,568
- Works
- 31
- Citations
- 76
- Citations per work
- 2.5
What does Yu Yang research?
Yu Yang's work is mostly in Computer Science (56%), Engineering (8%), Medicine (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 Sciences2064.4%
- Computer Science1756.0%
- Engineering38.4%
- Everything else1032.0%
- Health Sciences13.6%
- Medicine13.6%
- 1Computer Vision and Pattern Recognition31% of their works
- 2Artificial Intelligence21% of their works
- 3Control and Systems Engineering5% of their works
- 4Radiology, Nuclear Medicine and Imaging4% of their works
- 5Computer Networks and Communications4% of their works
- 6Media Technology4% of their works
Research topics
Which keywords describe Yu Yang's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Unsupervised Learning, Machine Translation, Word Representation, Depth Estimation, Neural Machine Translation and Statistical Machine Translation.
- Semantic Web
- Machine Learning
- Computer Graphics
- Image Synthesis
- Generative Adversarial Networks
- Statistical Machine Translation
- Depth Estimation
- Machine Translation
- Neural Networks
- Deep Learning
- Unsupervised Learning
- Word Representation
- Neural Machine Translation
- Stereo Vision
- Image Denoising
- Sparse Representations
- Internet Traffic
- Ontology
- Visualization
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 19 words, with their numbers
- Deep Learning83 topics
- Neural Networks82 topics
- Unsupervised Learning72 topics
- Machine Translation51 topic
- Word Representation51 topic
- Depth Estimation41 topic
- Neural Machine Translation41 topic
- Statistical Machine Translation41 topic
- Stereo Vision41 topic
- Generative Adversarial Networks31 topic
- Image Denoising31 topic
- Image Synthesis31 topic
- Sparse Representations31 topic
- Computer Graphics21 topic
- Internet Traffic21 topic
- Machine Learning21 topic
- Ontology21 topic
- Semantic Web21 topic
- Visualization21 topic
Where does Yu Yang work?
Yu Yang's main affiliation in the publication record is Pingdingshan University, China.
How many publications and citations does Yu Yang have?
OpenAlex counts 31 works and 76 citations for Yu Yang, an h-index of 6, ranking #5,301,406 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 Yu Yang
- yu-yang-hunan-university
- yu-yang-peking-university
- yu-yang-university-of-nevada-reno
- yu-yang-beijing-institute-of-technology
- yu-yang-chinese-academy-of-sciences
- yu-yang-institute-of-applied-physics-and-computational-mathematics
- yu-yang-chinese-academy-of-sciences-china-2
- yu-yang-east-carolina-university
- yu-yang-university-of-science-and-technology-beijing
- yu-yang-harbin-institute-of-technology
- yu-yang-chinese-academy-of-sciences-china-3
- yu-yang-chongqing-university
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
Ask a question or share a note about Yu Yang. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.