Xue‐Cheng Tai
Xue‐Cheng Tai publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering, on topics such as Medical Image Segmentation Techniques, Image and Signal Denoising Methods and Sparse and Compressive Sensing Techniques.
- World rank
- #172,466 of 7,710,434 ranked researchers
- Rank in Norway
- #961 of 33,005
- Works
- 363
- Citations
- 11k
- Citations per work
- 29.5
What does Xue‐Cheng Tai research?
Xue‐Cheng Tai's work is mostly in Computer Science (43%), Engineering (20%), Mathematics (3%).
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 Sciences24166.3%
- Computer Science15743.2%
- Engineering7219.9%
- Mathematics123.2%
- Everything else12233.7%
- 1Computer Vision and Pattern Recognition35% of their works
- 2Computational Mechanics16% of their works
- 3Electrical and Electronic Engineering4% of their works
- 4Computational Theory and Mathematics4% of their works
- 5Artificial Intelligence4% of their works
- 6Mathematical Physics3% of their works
Research topics
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Sparse and Compressive Sensing Techniques
- Advanced Numerical Methods in Computational Mathematics
- Numerical methods in inverse problems
- Advanced Image Processing Techniques
- Advanced Numerical Analysis Techniques
- Advanced Neural Network Applications
Which keywords describe Xue‐Cheng Tai's research?
The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Convolutional Neural Networks, Sparse Representation, Fluid-Structure Interaction, Image Denoising and Sparse Representations.
- Object Detection
- Super-Resolution
- Image
- Regularization Methods
- Finite Element Methods
- Signal Recovery
- Sparse Representations
- Fluid-Structure Interaction
- Convolutional Neural Networks
- Image Segmentation
- Deep Learning
- Medical Image Analysis
- Sparse Representation
- Image Denoising
- Compressed Sensing
- Discontinuous Galerkin Methods
- Inverse Problems
- Finite Elements
- NURBS
- Image Recognition
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 20 words, with their numbers
- Deep Learning2544 topics
- Image Segmentation1361 topic
- Medical Image Analysis1361 topic
- Convolutional Neural Networks882 topics
- Sparse Representation802 topics
- Fluid-Structure Interaction772 topics
- Image Denoising611 topic
- Sparse Representations611 topic
- Compressed Sensing501 topic
- Signal Recovery501 topic
- Discontinuous Galerkin Methods471 topic
- Finite Element Methods471 topic
- Inverse Problems321 topic
- Regularization Methods321 topic
- Finite Elements301 topic
- Image301 topic
- NURBS301 topic
- Super-Resolution301 topic
- Image Recognition271 topic
- Object Detection271 topic
Where does Xue‐Cheng Tai work?
Xue‐Cheng Tai's main affiliation in the publication record is University of Bergen, Norway.
How many publications and citations does Xue‐Cheng Tai have?
OpenAlex counts 363 works and 10,705 citations for Xue‐Cheng Tai, an h-index of 50, ranking #172,466 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.
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