Wei Lin
Wei Lin publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Advanced Neural Network Applications, Parallel Computing and Optimization Techniques and Cloud Computing and Resource Management.
- World rank
- #124,268 of 7,710,434 ranked researchers
- Rank in China
- #11,300 of 978,568
- Works
- 137
- Citations
- 3.4k
- Citations per work
- 24.9
What does Wei Lin research?
Wei Lin's work is mostly in Computer Science (74%), Engineering (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 Sciences10677.2%
- Computer Science10173.7%
- Engineering53.5%
- Everything else3122.8%
- 1Artificial Intelligence22% of their works
- 2Computer Vision and Pattern Recognition20% of their works
- 3Computer Networks and Communications13% of their works
- 4Information Systems13% of their works
- 5Hardware and Architecture6% of their works
- 6Electrical and Electronic Engineering4% of their works
Research topics
- Advanced Neural Network Applications
- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- Advanced Graph Neural Networks
- Recommender Systems and Techniques
- Advanced Data Storage Technologies
- Stochastic Gradient Optimization Techniques
- Advanced Image and Video Retrieval Techniques
Which keywords describe Wei Lin's research?
The keywords of their largest research topics: Deep Learning, Parallel Computing, Convolutional Neural Networks, Image Recognition, Neural Networks, GPU Computing, Performance Optimization and Big Data.
- Random Projections
- Feature Matching
- Distributed Storage
- Collaborative Filtering
- Graph Neural Networks
- Big Data
- GPU Computing
- Image Recognition
- Parallel Computing
- Deep Learning
- Convolutional Neural Networks
- Neural Networks
- Performance Optimization
- Cloud Computing
- Knowledge Graph Embedding
- Matrix Factorization
- Network Coding
- Local Descriptors
- Stochastic Gradient Descent
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 Learning915 topics
- Parallel Computing382 topics
- Convolutional Neural Networks301 topic
- Image Recognition301 topic
- Neural Networks302 topics
- GPU Computing241 topic
- Performance Optimization241 topic
- Big Data191 topic
- Cloud Computing191 topic
- Graph Neural Networks181 topic
- Knowledge Graph Embedding181 topic
- Collaborative Filtering171 topic
- Matrix Factorization171 topic
- Distributed Storage141 topic
- Network Coding141 topic
- Feature Matching131 topic
- Local Descriptors131 topic
- Random Projections131 topic
- Stochastic Gradient Descent131 topic
Where does Wei Lin work?
Wei Lin's main affiliation in the publication record is Alibaba Group (China), China.
How many publications and citations does Wei Lin have?
OpenAlex counts 137 works and 3,411 citations for Wei Lin, an h-index of 27, ranking #124,268 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.
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