Fei Yu
Fei Yu publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, on topics such as Multimodal Machine Learning Applications, Advanced Graph Neural Networks and Video Analysis and Summarization.
- World rank
- #4,024,596 of 7,710,434 ranked researchers
- Rank in China
- #624,744 of 978,568
- Works
- 17
- Citations
- 43
- Citations per work
- 2.5
What does Fei Yu research?
Fei Yu's work is mostly in Computer Science (72%), Engineering (6%), Physics and Astronomy (6%).
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 Sciences1483.7%
- Computer Science1271.5%
- Engineering16.1%
- Physics and Astronomy16.1%
- Everything else316.3%
- 1Computer Vision and Pattern Recognition31% of their works
- 2Artificial Intelligence29% of their works
- 3Hardware and Architecture8% of their works
- 4Media Technology6% of their works
- 5Statistical and Nonlinear Physics6% of their works
- 6Signal Processing4% of their works
Research topics
Which keywords describe Fei Yu's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Classification, Image Captioning, Visual Question Answering, Content-Based Retrieval, Graph Neural Networks and Knowledge Graph Embedding.
- Federated Learning
- Word Representation
- Machine Translation
- Hyperspectral
- Evolutionary Algorithms
- Video Summarization
- Knowledge Graph Embedding
- Content-Based Retrieval
- Image Captioning
- Neural Networks
- Deep Learning
- Classification
- Visual Question Answering
- Graph Neural Networks
- Machine Learning
- Community Structure
- Genetic Programming
- Image Analysis
- Network Dynamics
- Differential Privacy
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 20 words, with their numbers
- Deep Learning93 topics
- Neural Networks62 topics
- Classification42 topics
- Image Captioning41 topic
- Visual Question Answering41 topic
- Content-Based Retrieval31 topic
- Graph Neural Networks31 topic
- Knowledge Graph Embedding31 topic
- Machine Learning32 topics
- Video Summarization31 topic
- Community Structure21 topic
- Evolutionary Algorithms21 topic
- Genetic Programming21 topic
- Hyperspectral21 topic
- Image Analysis21 topic
- Machine Translation21 topic
- Network Dynamics21 topic
- Word Representation21 topic
- Differential Privacy11 topic
- Federated Learning11 topic
Where does Fei Yu work?
Fei Yu's main affiliation in the publication record is Zhejiang Lab, China.
How many publications and citations does Fei Yu have?
OpenAlex counts 17 works and 43 citations for Fei Yu, an h-index of 4, ranking #4,024,596 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 Fei Yu
- fei-yu-tongji-university
- fei-yu-doheny-eye-institute
- fei-yu-mississippi-state-university
- fei-yu-changsha-university-of-science-and-technology
- fei-yu-sun-yat-sen-university
- fei-yu-university-of-bath
- fei-yu-university-of-southern-california
- fei-yu-nanyang-technological-university
- fei-yu-northwest-a-and-f-university
- fei-yu-shanghai-medical-college-of-fudan-university
- fei-yu-zhengzhou-university
- fei-yu-university-of-california-los-angeles
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 Fei Yu. 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.