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Researcher · Siemens (Germany) · Germany

Kai Yu

Kai Yu publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Bayesian Methods and Mixture Models, Recommender Systems and Techniques and Machine Learning and Algorithms.

ORCID 0000-0001-6593-2130 OpenAlex
World rank
#183,041
of 7,710,434 ranked researchers
Rank in Germany
#9,332
of 364,343
Works
62
Citations
4.9k
Citations per work
79.5
h-index
29
i10-index 40Top 5.3% in Artificial Intelligence
Kai Yu

What does Kai Yu research?

Kai Yu's work is mostly in Computer Science (77%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 48 works · 77.0% of their workComputer Science: 48 works · 77.0% of their workArtificial Intelligence: 29 works · 46.1% of their workInformation Systems: 7 works · 11.8% of their workComputer Vision and Pattern Recognition: 6 works · 9.0% of their workSoftware: 3 works · 5.6% of their workSignal Processing: 3 works · 4.5% of their workEverything else: 11 works · 17.4% of their workLife Sciences: 3 works · 5.6% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 5.6% of their workMolecular Biology: 3 works · 5.6% of their workTHEIR WORKKai Yu62works
Life Sciences6%Physical Sciences77%

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 Science4877.0%
  2. Everything else1117.4%
    1. Biochemistry, Genetics and Molecular Biology35.6%
  1. 1Artificial Intelligence46% of their works
  2. 2Information Systems12% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Molecular Biology6% of their works
  5. 5Software6% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Kai Yu's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Bayesian Inference, Variational Inference, Gaussian Processes, Machine Learning, Semi-Supervised Learning and Information Retrieval.

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 25 words, with their numbers
  1. Deep Learning314 topics
  2. Neural Networks213 topics
  3. Bayesian Inference182 topics
  4. Variational Inference182 topics
  5. Gaussian Processes162 topics
  6. Machine Learning162 topics
  7. Semi-Supervised Learning142 topics
  8. Information Retrieval122 topics
  9. Text Classification122 topics
  10. Clustering101 topic
  11. Collaborative Filtering101 topic
  12. Matrix Factorization101 topic
  13. Mixture Models101 topic
  14. Active Learning81 topic
  15. Image Classification81 topic
  16. Probabilistic Models81 topic
  17. Sparse Regression81 topic
  18. Domain Adaptation61 topic
  19. Feature Selection61 topic
  20. Machine Translation61 topic
  21. Multi-label Learning61 topic
  22. Transfer Learning61 topic
  23. Word Representation61 topic
  24. Backpropagation Learning51 topic
  25. Self-Organizing Maps51 topic

Where does Kai Yu work?

Kai Yu's main affiliation in the publication record is Siemens (Germany), Germany.

How many publications and citations does Kai Yu have?

OpenAlex counts 62 works and 4,926 citations for Kai Yu, an h-index of 29, ranking #183,041 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 Kai 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.

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