Qingyao Wu
Qingyao Wu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Text and Document Classification Technologies, Domain Adaptation and Few-Shot Learning and Machine Learning and Algorithms.
- World rank
- #44,967 of 1,633,909 ranked researchers
- Rank in China
- #979 of 187,979
- Works
- 39
- Citations
- 385
- Citations per work
- 9.9
What does Qingyao Wu research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence33% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Molecular Biology8% of their works
- 4Computer Networks and Communications8% of their works
- 5Industrial and Manufacturing Engineering5% of their works
- 6Information Systems5% of their works
Research topics
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Algorithms
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Cell Image Analysis Techniques
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
Which keywords describe Qingyao Wu's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Feature Selection, Semi-Supervised Learning, Multi-label Learning, Text Classification, Active Learning and Content-Based Image Retrieval.
- sequence alignment
- Microarray
- Gene Expression
- Transfer Learning
- Local Descriptors
- Feature Matching
- Content-Based Image Retrieval
- Text Classification
- Semi-Supervised Learning
- Deep Learning
- Machine Learning
- Feature Selection
- Multi-label Learning
- Active Learning
- Domain Adaptation
- Gaussian Processes
- Shape Matching
- Bioimage Analysis
- High-Content Screening
- RNA-Seq
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.
All 20 words, with their numbers
- Machine Learning64 topics
- Deep Learning53 topics
- Feature Selection42 topics
- Semi-Supervised Learning42 topics
- Multi-label Learning31 topic
- Text Classification31 topic
- Active Learning21 topic
- Content-Based Image Retrieval21 topic
- Domain Adaptation21 topic
- Feature Matching21 topic
- Gaussian Processes21 topic
- Local Descriptors21 topic
- Shape Matching21 topic
- Transfer Learning21 topic
- Bioimage Analysis11 topic
- Gene Expression11 topic
- High-Content Screening11 topic
- Microarray11 topic
- RNA-Seq11 topic
- sequence alignment11 topic
Where does Qingyao Wu work?
Qingyao Wu's main affiliation in the publication record is South China University of Technology, China.
How many publications and citations does Qingyao Wu have?
Science Explorer counts 39 works and 385 citations for Qingyao Wu, ranking #44,967 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised 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 are in the interactive view on the map. Is this your page? Request a correction or removal.