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Researcher · Harbin Institute of Technology · China

Yongyong Chen

Yongyong Chen publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence, on topics such as Sparse and Compressive Sensing Techniques, Face and Expression Recognition and Image and Signal Denoising Methods.

ORCID 0000-0003-1970-1993 OpenAlex
World rank
#106,651
of 7,710,434 ranked researchers
Rank in China
#9,349
of 978,568
Works
175
Citations
4.6k
Citations per work
26.1
h-index
35
i10-index 90Top 3.4% in Computer Vision and Pattern Recognition
Yongyong Chen

What does Yongyong Chen research?

Yongyong Chen's work is mostly in Computer Science (45%), Engineering (26%).

Physical Sciences: 125 works · 71.3% of their workComputer Science: 78 works · 44.8% of their workComputer Vision and Pattern Recognition: 61 works · 34.8% of their workArtificial Intelligence: 18 works · 10.0% of their workEngineering: 46 works · 26.5% of their workComputational Mechanics: 21 works · 12.2% of their workMedia Technology: 12 works · 6.9% of their workBiomedical Engineering: 6 works · 3.7% of their workCivil and Structural Engineering: 6 works · 3.7% of their workEverything else: 50 works · 28.7% of their workTHEIR WORKYongyong Chen175works
Physical Sciences71%

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 Science7844.8%
    2. Engineering4626.5%
  2. Everything else5028.7%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Computational Mechanics12% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Media Technology7% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Civil and Structural Engineering4% of their works

Research topics

Which keywords describe Yongyong Chen's research?

The keywords of their largest research topics: Sparse Representation, Deep Learning, Support Vector Machines, Compressed Sensing, Signal Recovery, Convolutional Neural Networks, Dimensionality Reduction and Face 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.

All 23 words, with their numbers
  1. Sparse Representation1203 topics
  2. Deep Learning824 topics
  3. Support Vector Machines702 topics
  4. Compressed Sensing601 topic
  5. Signal Recovery601 topic
  6. Convolutional Neural Networks502 topics
  7. Dimensionality Reduction491 topic
  8. Face Recognition491 topic
  9. Wavelet Transform402 topics
  10. Hyperspectral322 topics
  11. Remote Sensing322 topics
  12. Image Denoising291 topic
  13. Sparse Representations291 topic
  14. Classification211 topic
  15. Image Analysis211 topic
  16. Object Tracking211 topic
  17. Visual Tracking211 topic
  18. Multilinear Algebra171 topic
  19. Tensor Decomposition171 topic
  20. Feature Matching111 topic
  21. Image Fusion111 topic
  22. Local Descriptors111 topic
  23. Multispectral111 topic

Where does Yongyong Chen work?

Yongyong Chen's main affiliation in the publication record is Harbin Institute of Technology, China.

How many publications and citations does Yongyong Chen have?

OpenAlex counts 175 works and 4,567 citations for Yongyong Chen, an h-index of 35, ranking #106,651 of 7,710,434 researchers worldwide on the quality 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.

Other researchers named Yongyong Chen

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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