Chris Ding
Chris Ding publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Face and Expression Recognition, Sparse and Compressive Sensing Techniques and Neural Networks and Applications.
- World rank
- #20,958 of 1,633,909 ranked researchers
- Rank in United States
- #9,932 of 358,040
- Works
- 84
- Citations
- 1.2k
- Citations per work
- 14.2
What does Chris Ding research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence21% of their works
- 2Computer Vision and Pattern Recognition19% of their works
- 3Molecular Biology8% of their works
- 4Computational Mechanics7% of their works
- 5Computer Networks and Communications6% of their works
- 6Information Systems4% of their works
Research topics
Which keywords describe Chris Ding's research?
The keywords of their largest research topics: Support Vector Machines, Sparse Representation, Feature Selection, Deep Learning, Dimensionality Reduction, Face Recognition, Compressed Sensing and Signal Recovery.
- Transfer Learning
- Protein
- Image Analysis
- Domain Adaptation
- Text Classification
- Neural Networks
- Signal Recovery
- Face Recognition
- Deep Learning
- Sparse Representation
- Support Vector Machines
- Feature Selection
- Dimensionality Reduction
- Compressed Sensing
- Multi-label Learning
- Self-Organizing Maps
- Convolutional Neural Networks
- Hyperspectral
- Image Recognition
- Subcellular Localization
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
- Support Vector Machines183 topics
- Sparse Representation162 topics
- Feature Selection152 topics
- Deep Learning133 topics
- Dimensionality Reduction101 topic
- Face Recognition101 topic
- Compressed Sensing61 topic
- Signal Recovery61 topic
- Multi-label Learning51 topic
- Neural Networks51 topic
- Self-Organizing Maps51 topic
- Text Classification51 topic
- Convolutional Neural Networks41 topic
- Domain Adaptation41 topic
- Hyperspectral41 topic
- Image Analysis41 topic
- Image Recognition41 topic
- Protein41 topic
- Subcellular Localization41 topic
- Transfer Learning41 topic
Where does Chris Ding work?
Chris Ding's main affiliation in the publication record is The University of Texas at Arlington, United States.
How many publications and citations does Chris Ding have?
Science Explorer counts 84 works and 1,195 citations for Chris Ding, ranking #20,958 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.