Science Explorer Back to mapMap
Discussion
Researcher · Chongqing University · China

Dan Yang

Dan Yang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Face and Expression Recognition, Advanced Image and Video Retrieval Techniques and Software Engineering Research.

ORCID 0000-0001-5640-7772 OpenAlex
World rank
#712,041
of 7,710,434 ranked researchers
Rank in China
#94,035
of 978,568
Works
246
Citations
3.3k
Citations per work
13.4
h-index
31
i10-index 82Top 4.7% in Computer Vision and Pattern Recognition
Dan Yang

What does Dan Yang research?

Dan Yang's work is mostly in Computer Science (57%), Engineering (3%), Medicine (3%).

Physical Sciences: 147 works · 59.8% of their workComputer Science: 141 works · 57.2% of their workComputer Vision and Pattern Recognition: 63 works · 25.8% of their workArtificial Intelligence: 34 works · 14.0% of their workInformation Systems: 23 works · 9.3% of their workComputer Networks and Communications: 20 works · 8.1% of their workEngineering: 6 works · 2.6% of their workAerospace Engineering: 6 works · 2.6% of their workEverything else: 92 works · 37.6% of their workHealth Sciences: 6 works · 2.6% of their workMedicine: 6 works · 2.6% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 2.6% of their workTHEIR WORKDan Yang246works
Physical Sciences60%Health Sciences3%

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 Science14157.2%
    2. Engineering62.6%
  2. Everything else9237.6%
    1. Medicine62.6%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Information Systems9% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging3% of their works
  6. 6Aerospace Engineering3% of their works

Research topics

Which keywords describe Dan Yang's research?

The keywords of their largest research topics: Deep Learning, Local Binary Patterns, Face Recognition, Machine Learning, Dimensionality Reduction, Feature Selection, Feature Matching and 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 21 words, with their numbers
  1. Deep Learning543 topics
  2. Local Binary Patterns542 topics
  3. Face Recognition502 topics
  4. Machine Learning412 topics
  5. Dimensionality Reduction371 topic
  6. Feature Selection371 topic
  7. Feature Matching291 topic
  8. Local Descriptors291 topic
  9. Convolutional Neural Networks252 topics
  10. Code Clone Detection241 topic
  11. Refactoring241 topic
  12. Content-Based Image Retrieval171 topic
  13. Shape Matching171 topic
  14. 3D Mapping151 topic
  15. SLAM151 topic
  16. Age Estimation131 topic
  17. Facial Landmark Detection131 topic
  18. Chaos121 topic
  19. Object Tracking121 topic
  20. Synchronization121 topic
  21. Visual Tracking121 topic

Where does Dan Yang work?

Dan Yang's main affiliation in the publication record is Chongqing University, China.

How many publications and citations does Dan Yang have?

OpenAlex counts 246 works and 3,289 citations for Dan Yang, an h-index of 31, ranking #712,041 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 Dan Yang

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

Ask a question or share a note about Dan Yang. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.