Ledell Wu
Ledell Wu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.
- World rank
- #933,520 of 7,710,434 ranked researchers
- Rank in China
- #129,680 of 978,568
- Works
- 28
- Citations
- 1.9k
- Citations per work
- 68.2
What does Ledell Wu research?
Ledell Wu's work is mostly in Computer Science (83%), Decision Sciences (5%), 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 Sciences2485.2%
- Computer Science2382.7%
- Physics and Astronomy12.5%
- Everything else39.9%
- Social Sciences14.9%
- Decision Sciences14.9%
- 1Artificial Intelligence57% of their works
- 2Computer Vision and Pattern Recognition16% of their works
- 3Information Systems6% of their works
- 4Management Science and Operations Research5% of their works
- 5Computer Networks and Communications4% of their works
- 6Statistical and Nonlinear Physics2% of their works
Research topics
Which keywords describe Ledell Wu's research?
The keywords of their largest research topics: Neural Networks, Information Retrieval, Text Classification, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation and Deep Learning.
- Multi-label Learning
- User Behavior
- Transfer Learning
- Knowledge Graph Embedding
- Domain Adaptation
- Visual Question Answering
- Representation Learning
- Deep Learning
- Neural Machine Translation
- Machine Translation
- Information Retrieval
- Neural Networks
- Text Classification
- Word Representation
- Statistical Machine Translation
- Image Captioning
- Semi-Supervised Learning
- Data Cleaning
- Graph Neural Networks
- Record Linkage
- Search Engines
- Feature Selection
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 22 words, with their numbers
- Neural Networks262 topics
- Information Retrieval233 topics
- Text Classification202 topics
- Machine Translation181 topic
- Word Representation181 topic
- Neural Machine Translation131 topic
- Statistical Machine Translation131 topic
- Deep Learning122 topics
- Image Captioning81 topic
- Representation Learning82 topics
- Semi-Supervised Learning82 topics
- Visual Question Answering81 topic
- Data Cleaning41 topic
- Domain Adaptation41 topic
- Graph Neural Networks41 topic
- Knowledge Graph Embedding41 topic
- Record Linkage41 topic
- Transfer Learning41 topic
- Search Engines31 topic
- User Behavior31 topic
- Feature Selection21 topic
- Multi-label Learning21 topic
Where does Ledell Wu work?
Ledell Wu's main affiliation in the publication record is Beijing Academy of Artificial Intelligence, China.
How many publications and citations does Ledell Wu have?
OpenAlex counts 28 works and 1,909 citations for Ledell Wu, an h-index of 16, ranking #933,520 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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