Shenghuo Zhu
Shenghuo Zhu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Sparse and Compressive Sensing Techniques, Text and Document Classification Technologies and Face and Expression Recognition.
- World rank
- #92,221 of 7,710,434 ranked researchers
- Rank in United States
- #35,495 of 1,627,098
- Works
- 179
- Citations
- 9.6k
- Citations per work
- 53.4
What does Shenghuo Zhu research?
Shenghuo Zhu's work is mostly in Computer Science (66%), 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 Sciences13977.4%
- Computer Science11865.8%
- Engineering115.9%
- Physics and Astronomy105.7%
- Everything else4022.6%
- 1Artificial Intelligence36% of their works
- 2Computer Vision and Pattern Recognition17% of their works
- 3Information Systems7% of their works
- 4Computational Mechanics6% of their works
- 5Statistical and Nonlinear Physics6% of their works
- 6Signal Processing6% of their works
Research topics
Which keywords describe Shenghuo Zhu's research?
The keywords of their largest research topics: Neural Networks, Sparse Representation, Convex Optimization, Feature Selection, Information Retrieval, Text Classification, Deep Learning and Compressed Sensing.
- Feature Matching
- Automatic
- Machine Translation
- Community Structure
- Random Projections
- Dimensionality Reduction
- Multi-label Learning
- Compressed Sensing
- Text Classification
- Feature Selection
- Sparse Representation
- Neural Networks
- Convex Optimization
- Information Retrieval
- Deep Learning
- Signal Recovery
- Naive Bayes Classifier
- Face Recognition
- Stochastic Gradient Descent
- Network Dynamics
- Word Representation
- Extraction
- Local Descriptors
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 23 words, with their numbers
- Neural Networks563 topics
- Sparse Representation522 topics
- Convex Optimization512 topics
- Feature Selection482 topics
- Information Retrieval442 topics
- Text Classification442 topics
- Deep Learning372 topics
- Compressed Sensing301 topic
- Signal Recovery301 topic
- Multi-label Learning261 topic
- Naive Bayes Classifier261 topic
- Dimensionality Reduction221 topic
- Face Recognition221 topic
- Random Projections211 topic
- Stochastic Gradient Descent211 topic
- Community Structure191 topic
- Network Dynamics191 topic
- Machine Translation181 topic
- Word Representation181 topic
- Automatic171 topic
- Extraction171 topic
- Feature Matching161 topic
- Local Descriptors161 topic
Where does Shenghuo Zhu work?
Shenghuo Zhu's main affiliation in the publication record is NEC (United States), United States.
How many publications and citations does Shenghuo Zhu have?
OpenAlex counts 179 works and 9,558 citations for Shenghuo Zhu, an h-index of 48, ranking #92,221 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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