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Researcher · Henan University · China

Xiaohui Yang

Xiaohui Yang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Image Retrieval and Classification Techniques, Advanced Image and Video Retrieval Techniques and Image and Signal Denoising Methods.

ORCID 0000-0002-6423-6798 OpenAlex
World rank
#4,780,476
of 7,710,434 ranked researchers
Rank in China
#721,932
of 978,568
Works
105
Citations
880
Citations per work
8.4
h-index
17
i10-index 26Top 18% in Computer Vision and Pattern Recognition
Xiaohui Yang

What does Xiaohui Yang research?

Xiaohui Yang's work is mostly in Computer Science (42%), Engineering (12%), Biochemistry, Genetics and Molecular Biology (5%).

Physical Sciences: 56 works · 53.7% of their workComputer Science: 44 works · 42.0% of their workComputer Vision and Pattern Recognition: 30 works · 28.2% of their workArtificial Intelligence: 10 works · 9.4% of their workComputer Networks and Communications: 5 works · 4.4% of their workEngineering: 12 works · 11.7% of their workMedia Technology: 8 works · 7.7% of their workElectrical and Electronic Engineering: 4 works · 4.0% of their workEverything else: 43 works · 40.9% of their workLife Sciences: 6 works · 5.4% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 5.4% of their workMolecular Biology: 6 works · 5.4% of their workTHEIR WORKXiaohui Yang105works
Life Sciences5%Physical Sciences54%

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
    1. Computer Science4442.0%
    2. Engineering1211.7%
  2. Everything else4340.9%
    1. Biochemistry, Genetics and Molecular Biology65.4%
  1. 1Computer Vision and Pattern Recognition28% of their works
  2. 2Artificial Intelligence9% of their works
  3. 3Media Technology8% of their works
  4. 4Molecular Biology5% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Xiaohui Yang's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Local Binary Patterns, Wavelet Transform, Hyperspectral, Remote Sensing, Sparse Representation and Content-Based Image Retrieval.

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 25 words, with their numbers
  1. Deep Learning444 topics
  2. Machine Learning292 topics
  3. Local Binary Patterns282 topics
  4. Wavelet Transform222 topics
  5. Hyperspectral212 topics
  6. Remote Sensing212 topics
  7. Sparse Representation202 topics
  8. Content-Based Image Retrieval191 topic
  9. Feature Selection192 topics
  10. Shape Matching191 topic
  11. Support Vector Machines192 topics
  12. Feature Matching141 topic
  13. Local Descriptors141 topic
  14. Image Denoising111 topic
  15. Image Fusion111 topic
  16. Multispectral111 topic
  17. Sparse Representations111 topic
  18. Classification101 topic
  19. Gene Expression101 topic
  20. Image Analysis101 topic
  21. Microarray101 topic
  22. Dimensionality Reduction91 topic
  23. Face Recognition91 topic
  24. Image Segmentation91 topic
  25. Medical Image Analysis91 topic

Where does Xiaohui Yang work?

Xiaohui Yang's main affiliation in the publication record is Henan University, China.

How many publications and citations does Xiaohui Yang have?

OpenAlex counts 105 works and 880 citations for Xiaohui Yang, an h-index of 17, ranking #4,780,476 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.

Other researchers named Xiaohui Yang

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