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Researcher · Peking University · China

Boxin Shi

Boxin Shi publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Electrical and Electronic Engineering, on topics such as Advanced Vision and Imaging, Image Enhancement Techniques and Computer Graphics and Visualization Techniques.

ORCID 0000-0001-6749-0364 OpenAlex
World rank
#64,503
of 7,710,434 ranked researchers
Rank in China
#5,028
of 978,568
Works
361
Citations
9k
Citations per work
25.0
h-index
50
i10-index 162Top 1.2% in Computer Vision and Pattern Recognition
Boxin Shi

What does Boxin Shi research?

Boxin Shi's work is mostly in Computer Science (61%), Engineering (12%).

Physical Sciences: 264 works · 73.1% of their workComputer Science: 220 works · 61.0% of their workComputer Vision and Pattern Recognition: 178 works · 49.3% of their workComputer Graphics and Computer-Aided Design: 25 works · 6.9% of their workArtificial Intelligence: 17 works · 4.8% of their workEngineering: 44 works · 12.1% of their workElectrical and Electronic Engineering: 17 works · 4.8% of their workComputational Mechanics: 13 works · 3.7% of their workBiomedical Engineering: 13 works · 3.6% of their workEverything else: 97 works · 26.9% of their workTHEIR WORKBoxin Shi361works
Physical Sciences73%

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 Science22061.0%
    2. Engineering4412.1%
  2. Everything else9726.9%
  1. 1Computer Vision and Pattern Recognition49% of their works
  2. 2Computer Graphics and Computer-Aided Design7% of their works
  3. 3Electrical and Electronic Engineering5% of their works
  4. 4Artificial Intelligence5% of their works
  5. 5Computational Mechanics4% of their works
  6. 6Biomedical Engineering4% of their works

Research topics

Which keywords describe Boxin Shi's research?

The keywords of their largest research topics: Deep Learning, Convolutional Networks, Unsupervised Learning, Depth Estimation, Stereo Vision, Generative Adversarial Networks, Neural Networks and Contrast Enhancement.

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 Learning2435 topics
  2. Convolutional Networks1892 topics
  3. Unsupervised Learning1592 topics
  4. Depth Estimation1231 topic
  5. Stereo Vision1231 topic
  6. Generative Adversarial Networks1022 topics
  7. Neural Networks1022 topics
  8. Contrast Enhancement821 topic
  9. Dehazing821 topic
  10. Computer Graphics711 topic
  11. Visualization711 topic
  12. Image661 topic
  13. Super-Resolution661 topic
  14. Image Inpainting361 topic
  15. Image Synthesis361 topic
  16. 3D Reconstruction311 topic
  17. Point Clouds311 topic
  18. Camera Calibration301 topic
  19. Structured Light301 topic
  20. Image Denoising281 topic
  21. Sparse Representations281 topic

Where does Boxin Shi work?

Boxin Shi's main affiliation in the publication record is Peking University, China.

How many publications and citations does Boxin Shi have?

OpenAlex counts 361 works and 9,039 citations for Boxin Shi, an h-index of 50, ranking #64,503 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.

Discussion

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