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Researcher · Shanghai Artificial Intelligence Laboratory · ??

Mulin Yu

Mulin Yu publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design, on topics such as 3D Shape Modeling and Analysis, Advanced Vision and Imaging and Computer Graphics and Visualization Techniques.

ORCID 0000-0002-0327-4547 OpenAlex
World rank
#1,507,535
of 7,710,434 ranked researchers
Rank in ??
#2,111
of 21,892
Works
45
Citations
691
Citations per work
15.4
h-index
7
i10-index 7Top 69% in Computer Vision and Pattern Recognition
Mulin Yu

What does Mulin Yu research?

Mulin Yu's work is mostly in Computer Science (46%), Engineering (36%), Earth and Planetary Sciences (5%).

Physical Sciences: 39 works · 87.5% of their workComputer Science: 21 works · 46.5% of their workComputer Vision and Pattern Recognition: 14 works · 31.5% of their workComputer Graphics and Computer-Aided Design: 7 works · 15.0% of their workEngineering: 16 works · 36.3% of their workComputational Mechanics: 9 works · 20.5% of their workControl and Systems Engineering: 4 works · 8.7% of their workAerospace Engineering: 3 works · 7.1% of their workEarth and Planetary Sciences: 2 works · 4.7% of their workGeology: 2 works · 4.7% of their workEverything else: 6 works · 12.5% of their workTHEIR WORKMulin Yu45works
Physical Sciences88%

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 Science2146.5%
    2. Engineering1636.3%
    3. Earth and Planetary Sciences24.7%
  2. Everything else612.5%
  1. 1Computer Vision and Pattern Recognition32% of their works
  2. 2Computational Mechanics20% of their works
  3. 3Computer Graphics and Computer-Aided Design15% of their works
  4. 4Control and Systems Engineering9% of their works
  5. 5Aerospace Engineering7% of their works
  6. 6Geology5% of their works

Research topics

Which keywords describe Mulin Yu's research?

The keywords of their largest research topics: Deep Learning, 3D Reconstruction, Point Clouds, Mesh Segmentation, Shape Representation, Convolutional Networks, Depth Estimation and Stereo Vision.

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 20 words, with their numbers
  1. Deep Learning434 topics
  2. 3D Reconstruction322 topics
  3. Point Clouds322 topics
  4. Mesh Segmentation261 topic
  5. Shape Representation261 topic
  6. Convolutional Networks252 topics
  7. Depth Estimation191 topic
  8. Stereo Vision191 topic
  9. Computer Graphics181 topic
  10. Visualization181 topic
  11. 3D Mapping91 topic
  12. SLAM91 topic
  13. Action Recognition61 topic
  14. Grasping61 topic
  15. Photogrammetry61 topic
  16. Pose Estimation61 topic
  17. Robot Learning61 topic
  18. UAV61 topic
  19. Character Animation51 topic
  20. Motion Synthesis51 topic

Where does Mulin Yu work?

Mulin Yu's main affiliation in the publication record is Shanghai Artificial Intelligence Laboratory, ??.

How many publications and citations does Mulin Yu have?

OpenAlex counts 45 works and 691 citations for Mulin Yu, an h-index of 7, ranking #1,507,535 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 Mulin Yu

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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