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Researcher · Siemens (Germany) · Germany

Shipeng Yu

Shipeng Yu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering, on topics such as Bayesian Methods and Mixture Models, Machine Learning in Healthcare and Face and Expression Recognition.

ORCID 0000-0002-0262-4031 OpenAlex
World rank
#230,678
of 7,710,434 ranked researchers
Rank in Germany
#11,685
of 364,343
Works
111
Citations
6.2k
Citations per work
55.9
h-index
36
i10-index 61Top 2.9% in Artificial Intelligence
Shipeng Yu

What does Shipeng Yu research?

Shipeng Yu's work is mostly in Computer Science (39%), Environmental Science (6%), Health Professions (4%).

Everything else: 53 works · 47.5% of their workPhysical Sciences: 50 works · 45.0% of their workComputer Science: 43 works · 38.8% of their workArtificial Intelligence: 30 works · 26.8% of their workComputer Vision and Pattern Recognition: 9 works · 7.8% of their workInformation Systems: 5 works · 4.2% of their workEnvironmental Science: 7 works · 6.2% of their workEnvironmental Engineering: 7 works · 6.2% of their workHealth Sciences: 8 works · 7.5% of their workHealth Professions: 4 works · 3.9% of their workHealth Information Management: 4 works · 3.9% of their workMedicine: 4 works · 3.6% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 3.6% of their workTHEIR WORKShipeng Yu111works
Physical Sciences45%Health Sciences7%

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. Everything else5347.5%
    1. Computer Science4338.8%
    2. Environmental Science76.2%
    1. Health Professions43.9%
    2. Medicine43.6%
  1. 1Artificial Intelligence27% of their works
  2. 2Computer Vision and Pattern Recognition8% of their works
  3. 3Environmental Engineering6% of their works
  4. 4Information Systems4% of their works
  5. 5Health Information Management4% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Shipeng Yu's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Feature Selection, Healthcare, Local Binary Patterns, Big Data Analytics, Clustering and Dimensionality Reduction.

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. Machine Learning274 topics
  2. Deep Learning203 topics
  3. Feature Selection162 topics
  4. Healthcare162 topics
  5. Local Binary Patterns152 topics
  6. Big Data Analytics81 topic
  7. Clustering81 topic
  8. Dimensionality Reduction81 topic
  9. Electronic Health Records81 topic
  10. Face Recognition81 topic
  11. Medical Diagnosis81 topic
  12. Mixture Models81 topic
  13. Predictive Modeling81 topic
  14. Content-Based Image Retrieval71 topic
  15. Shape Matching71 topic
  16. Active Learning61 topic
  17. Histopathology Images61 topic
  18. Hyperparameter Optimization61 topic
  19. Medical Image Analysis61 topic
  20. Noisy Labels61 topic
  21. Semi-Supervised Learning61 topic

Where does Shipeng Yu work?

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

How many publications and citations does Shipeng Yu have?

OpenAlex counts 111 works and 6,205 citations for Shipeng Yu, an h-index of 36, ranking #230,678 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 Shipeng 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.

Discussion

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