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Researcher · Tencent (China) · China

Kekai Sheng

Kekai Sheng publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Visual Attention and Saliency Detection, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.

ORCID 0000-0002-5382-3241 OpenAlex
World rank
#805,277
of 7,710,434 ranked researchers
Rank in China
#108,950
of 978,568
Works
34
Citations
1.5k
Citations per work
43.8
h-index
15
i10-index 19Top 23% in Computer Vision and Pattern Recognition
Kekai Sheng

What does Kekai Sheng research?

Kekai Sheng's work is mostly in Computer Science (72%), Engineering (9%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 28 works · 81.7% of their workComputer Science: 25 works · 72.5% of their workComputer Vision and Pattern Recognition: 17 works · 50.0% of their workArtificial Intelligence: 5 works · 14.3% of their workSignal Processing: 3 works · 8.2% of their workEngineering: 3 works · 9.2% of their workElectrical and Electronic Engineering: 2 works · 5.1% of their workMedia Technology: 1 works · 4.1% of their workEverything else: 5 works · 14.2% of their workLife Sciences: 1 works · 4.1% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.1% of their workCancer Research: 1 works · 4.1% of their workTHEIR WORKKekai Sheng34works
Life Sciences4%Physical Sciences82%

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 Science2572.5%
    2. Engineering39.2%
  2. Everything else514.2%
    1. Biochemistry, Genetics and Molecular Biology14.1%
  1. 1Computer Vision and Pattern Recognition50% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Signal Processing8% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Cancer Research4% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Kekai Sheng's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Neural Networks, Saliency Detection, Visual Attention, Domain Adaptation, Face Recognition and Facial Landmark Detection.

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 19 words, with their numbers
  1. Deep Learning365 topics
  2. Neural Networks162 topics
  3. Convolutional Neural Networks142 topics
  4. Saliency Detection91 topic
  5. Visual Attention91 topic
  6. Domain Adaptation71 topic
  7. Face Recognition71 topic
  8. Facial Landmark Detection71 topic
  9. Image Captioning71 topic
  10. Image Recognition71 topic
  11. Object Detection71 topic
  12. Transfer Learning71 topic
  13. Visual Question Answering71 topic
  14. Biometric Recognition61 topic
  15. Feature Matching61 topic
  16. Local Descriptors61 topic
  17. Security61 topic
  18. Cancer41 topic
  19. Long Noncoding RNAs41 topic

Where does Kekai Sheng work?

Kekai Sheng's main affiliation in the publication record is Tencent (China), China.

How many publications and citations does Kekai Sheng have?

OpenAlex counts 34 works and 1,489 citations for Kekai Sheng, an h-index of 15, ranking #805,277 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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