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Researcher · The University of Tokyo · Japan

Mingdeng Cao

Mingdeng Cao publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, on topics such as Advanced Image Processing Techniques, Advanced Vision and Imaging and Generative Adversarial Networks and Image Synthesis.

ORCID 0000-0002-6577-4715 OpenAlex
World rank
#494,855
of 7,710,434 ranked researchers
Rank in Japan
#5,068
of 383,136
Works
50
Citations
1.7k
Citations per work
33.5
h-index
14
i10-index 16Top 27% in Computer Vision and Pattern Recognition
Mingdeng Cao

What does Mingdeng Cao research?

Mingdeng Cao's work is mostly in Computer Science (77%), Engineering (15%), Biochemistry, Genetics and Molecular Biology (1%).

Physical Sciences: 46 works · 91.8% of their workComputer Science: 39 works · 77.2% of their workComputer Vision and Pattern Recognition: 37 works · 73.8% of their workComputer Graphics and Computer-Aided Design: 2 works · 3.4% of their workEngineering: 7 works · 14.6% of their workMedia Technology: 4 works · 9.0% of their workControl and Systems Engineering: 1 works · 2.8% of their workElectrical and Electronic Engineering: 1 works · 2.8% of their workEverything else: 3 works · 6.8% of their workLife Sciences: 1 works · 1.4% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.4% of their workBiophysics: 1 works · 1.4% of their workTHEIR WORKMingdeng Cao50works
Life Sciences1%Physical Sciences92%

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 Science3977.2%
    2. Engineering714.6%
  2. Everything else36.8%
    1. Biochemistry, Genetics and Molecular Biology11.4%
  1. 1Computer Vision and Pattern Recognition74% of their works
  2. 2Media Technology9% of their works
  3. 3Computer Graphics and Computer-Aided Design3% of their works
  4. 4Electrical and Electronic Engineering3% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Biophysics1% of their works

Research topics

Which keywords describe Mingdeng Cao's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Networks, Generative Adversarial Networks, Unsupervised Learning, Sparse Representation, Depth Estimation and Image.

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 25 words, with their numbers
  1. Deep Learning615 topics
  2. Neural Networks393 topics
  3. Convolutional Networks372 topics
  4. Generative Adversarial Networks332 topics
  5. Unsupervised Learning322 topics
  6. Sparse Representation262 topics
  7. Depth Estimation242 topics
  8. Image191 topic
  9. Super-Resolution191 topic
  10. Wavelet Transform192 topics
  11. Optical Flow181 topic
  12. Stereo Vision181 topic
  13. Image Inpainting141 topic
  14. Image Synthesis141 topic
  15. Image Denoising121 topic
  16. Image Processing122 topics
  17. Sparse Representations121 topic
  18. Image Quality Assessment101 topic
  19. Perceptual Quality101 topic
  20. Image Fusion71 topic
  21. Multispectral71 topic
  22. Autofocusing61 topic
  23. Contrast Enhancement61 topic
  24. Dehazing61 topic
  25. Microscopy61 topic

Where does Mingdeng Cao work?

Mingdeng Cao's main affiliation in the publication record is The University of Tokyo, Japan.

How many publications and citations does Mingdeng Cao have?

OpenAlex counts 50 works and 1,675 citations for Mingdeng Cao, an h-index of 14, ranking #494,855 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.

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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