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Researcher · Baidu (China) · China

Yukang Ding

Yukang Ding publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering, on topics such as Advanced Image Processing Techniques, Advanced Vision and Imaging and Image and Signal Denoising Methods.

ORCID 0009-0003-9716-0798 OpenAlex
World rank
#1,102,103
of 7,710,434 ranked researchers
Rank in China
#157,363
of 978,568
Works
24
Citations
1.6k
Citations per work
67.3
h-index
12
i10-index 13Top 34% in Computer Vision and Pattern Recognition
Yukang Ding

What does Yukang Ding research?

Yukang Ding's work is mostly in Computer Science (61%), Engineering (11%), Materials Science (4%).

Physical Sciences: 19 works · 79.2% of their workComputer Science: 15 works · 61.1% of their workComputer Vision and Pattern Recognition: 15 works · 61.1% of their workEngineering: 3 works · 11.1% of their workMedia Technology: 2 works · 6.9% of their workElectrical and Electronic Engineering: 1 works · 4.2% of their workMaterials Science: 1 works · 4.2% of their workMaterials Chemistry: 1 works · 4.2% of their workPhysics and Astronomy: 1 works · 2.8% of their workAtomic and Molecular Physics, and Optics: 1 works · 2.8% of their workEverything else: 4 works · 18.0% of their workLife Sciences: 1 works · 2.8% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 2.8% of their workCancer Research: 1 works · 2.8% of their workTHEIR WORKYukang Ding24works
Life Sciences3%Physical Sciences79%

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 Science1561.1%
    2. Engineering311.1%
    3. Materials Science14.2%
    4. Physics and Astronomy12.8%
  2. Everything else418.0%
    1. Biochemistry, Genetics and Molecular Biology12.8%
  1. 1Computer Vision and Pattern Recognition61% of their works
  2. 2Media Technology7% of their works
  3. 3Electrical and Electronic Engineering4% of their works
  4. 4Materials Chemistry4% of their works
  5. 5Atomic and Molecular Physics, and Optics3% of their works
  6. 6Cancer Research3% of their works

Research topics

Which keywords describe Yukang Ding's research?

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

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 23 words, with their numbers
  1. Deep Learning305 topics
  2. Neural Networks254 topics
  3. Convolutional Networks202 topics
  4. Generative Adversarial Networks172 topics
  5. Image131 topic
  6. Super-Resolution131 topic
  7. Depth Estimation122 topics
  8. Unsupervised Learning112 topics
  9. Image Processing92 topics
  10. Optical Flow71 topic
  11. Stereo Vision71 topic
  12. Image Denoising61 topic
  13. Sparse Representations61 topic
  14. Autofocusing51 topic
  15. Microscopy51 topic
  16. Contrast Enhancement41 topic
  17. Dehazing41 topic
  18. Image Inpainting41 topic
  19. Image Synthesis41 topic
  20. Image Captioning31 topic
  21. Visual Question Answering31 topic
  22. Cancer21 topic
  23. Long Noncoding RNAs21 topic

Where does Yukang Ding work?

Yukang Ding's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Yukang Ding have?

OpenAlex counts 24 works and 1,615 citations for Yukang Ding, an h-index of 12, ranking #1,102,103 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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