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Researcher · Université de Bordeaux · France

Jun Shen

Jun Shen publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, on topics such as Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques and Video Surveillance and Tracking Methods.

ORCID 0000-0003-3014-8463 OpenAlex
World rank
#5,174,473
of 7,710,434 ranked researchers
Rank in France
#218,560
of 324,115
Works
58
Citations
406
Citations per work
7.0
h-index
11
i10-index 12Top 39% in Computer Vision and Pattern Recognition
Jun Shen

What does Jun Shen research?

Jun Shen's work is mostly in Computer Science (55%), Engineering (15%), Medicine (4%).

Physical Sciences: 40 works · 69.4% of their workComputer Science: 32 works · 54.8% of their workComputer Vision and Pattern Recognition: 28 works · 48.4% of their workArtificial Intelligence: 4 works · 6.4% of their workEngineering: 8 works · 14.6% of their workBiomedical Engineering: 3 works · 5.7% of their workMedia Technology: 3 works · 5.1% of their workAerospace Engineering: 2 works · 3.8% of their workEverything else: 16 works · 26.8% of their workHealth Sciences: 2 works · 3.8% of their workMedicine: 2 works · 3.8% of their workSurgery: 2 works · 3.8% of their workTHEIR WORKJun Shen58works
Physical Sciences69%Health Sciences4%

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 Science3254.8%
    2. Engineering814.6%
  2. Everything else1626.8%
    1. Medicine23.8%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Artificial Intelligence6% of their works
  3. 3Biomedical Engineering6% of their works
  4. 4Media Technology5% of their works
  5. 5Surgery4% of their works
  6. 6Aerospace Engineering4% of their works

Research topics

Which keywords describe Jun Shen's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Depth Estimation, Stereo Vision, Feature Matching, Hough Transform, Line Detection 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 18 words, with their numbers
  1. Deep Learning244 topics
  2. Convolutional Neural Networks132 topics
  3. Depth Estimation121 topic
  4. Stereo Vision121 topic
  5. Feature Matching71 topic
  6. Hough Transform71 topic
  7. Line Detection71 topic
  8. Local Descriptors71 topic
  9. Object Tracking71 topic
  10. Visual Tracking71 topic
  11. 3D Mapping61 topic
  12. Image Denoising61 topic
  13. SLAM61 topic
  14. Sparse Representations61 topic
  15. Content-Based Image Retrieval41 topic
  16. Image Segmentation41 topic
  17. Medical Image Analysis41 topic
  18. Shape Matching41 topic

Where does Jun Shen work?

Jun Shen's main affiliation in the publication record is Université de Bordeaux, France.

How many publications and citations does Jun Shen have?

OpenAlex counts 58 works and 406 citations for Jun Shen, an h-index of 11, ranking #5,174,473 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 Jun Shen

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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