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Researcher · Tencent (China) · China

Ying Shan

Ying Shan publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Advanced Vision and Imaging, Multimodal Machine Learning Applications and Generative Adversarial Networks and Image Synthesis.

ORCID 0000-0001-7673-8325 OpenAlex
World rank
#46,504
of 7,710,434 ranked researchers
Rank in China
#3,347
of 978,568
Works
575
Citations
14k
Citations per work
24.9
h-index
53
i10-index 175Top 1% in Computer Vision and Pattern Recognition
Ying Shan

What does Ying Shan research?

Ying Shan's work is mostly in Computer Science (67%), Engineering (7%).

Physical Sciences: 423 works · 73.5% of their workComputer Science: 385 works · 66.9% of their workComputer Vision and Pattern Recognition: 273 works · 47.4% of their workArtificial Intelligence: 70 works · 12.2% of their workSignal Processing: 22 works · 3.9% of their workComputer Graphics and Computer-Aided Design: 20 works · 3.4% of their workEngineering: 38 works · 6.6% of their workComputational Mechanics: 19 works · 3.3% of their workControl and Systems Engineering: 19 works · 3.3% of their workEverything else: 152 works · 26.5% of their workTHEIR WORKYing Shan575works
Physical Sciences74%

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 Science38566.9%
    2. Engineering386.6%
  2. Everything else15226.5%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Signal Processing4% of their works
  4. 4Computer Graphics and Computer-Aided Design3% of their works
  5. 5Computational Mechanics3% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Ying Shan's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Convolutional Networks, Representation Learning, Depth Estimation, Stereo Vision and Image Captioning.

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 Learning3404 topics
  2. Unsupervised Learning2373 topics
  3. Neural Networks1862 topics
  4. Convolutional Networks1682 topics
  5. Representation Learning1402 topics
  6. Depth Estimation971 topic
  7. Stereo Vision971 topic
  8. Image Captioning961 topic
  9. Visual Question Answering961 topic
  10. Generative Adversarial Networks901 topic
  11. Image Synthesis901 topic
  12. Feature Matching831 topic
  13. Local Descriptors831 topic
  14. Action Recognition711 topic
  15. Pose Estimation711 topic
  16. Content-Based Retrieval661 topic
  17. Video Summarization661 topic
  18. Computer Graphics541 topic
  19. Visualization541 topic
  20. Domain Adaptation501 topic
  21. Transfer Learning501 topic

Where does Ying Shan work?

Ying Shan's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Ying Shan have?

OpenAlex counts 575 works and 14,294 citations for Ying Shan, an h-index of 53, ranking #46,504 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 Ying Shan

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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