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Researcher · Ping An (China) · ??

Ke Yan

Ke Yan publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection and Advanced Neural Network Applications.

ORCID 0000-0002-0034-9013 OpenAlex
World rank
#353,163
of 7,710,434 ranked researchers
Rank in ??
#385
of 21,892
Works
75
Citations
3.2k
Citations per work
42.6
h-index
25
i10-index 33Top 14% in Radiology, Nuclear Medicine and Imaging
Ke Yan

What does Ke Yan research?

Ke Yan's work is mostly in Computer Science (48%), Medicine (37%), Engineering (7%).

Physical Sciences: 42 works · 55.7% of their workComputer Science: 36 works · 48.5% of their workComputer Vision and Pattern Recognition: 22 works · 29.9% of their workArtificial Intelligence: 14 works · 18.6% of their workEngineering: 5 works · 7.2% of their workBiomedical Engineering: 5 works · 7.2% of their workHealth Sciences: 28 works · 37.1% of their workMedicine: 28 works · 37.1% of their workRadiology, Nuclear Medicine and Imaging: 24 works · 31.7% of their workPulmonary and Respiratory Medicine: 3 works · 3.6% of their workHepatology: 1 works · 1.8% of their workEverything else: 5 works · 7.2% of their workTHEIR WORKKe Yan75works
Physical Sciences56%Health Sciences37%

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 Science3648.5%
    2. Engineering57.2%
    1. Medicine2837.1%
  3. Everything else57.2%
  1. 1Radiology, Nuclear Medicine and Imaging32% of their works
  2. 2Computer Vision and Pattern Recognition30% of their works
  3. 3Artificial Intelligence19% of their works
  4. 4Biomedical Engineering7% of their works
  5. 5Pulmonary and Respiratory Medicine4% of their works
  6. 6Hepatology2% of their works

Research topics

Which keywords describe Ke Yan's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Imaging, Texture Analysis, Quantitative Analysis, Radiomics and Medical Image Analysis.

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 22 words, with their numbers
  1. Deep Learning804 topics
  2. Convolutional Neural Networks713 topics
  3. Machine Learning682 topics
  4. Medical Imaging562 topics
  5. Texture Analysis492 topics
  6. Quantitative Analysis401 topic
  7. Radiomics401 topic
  8. Medical Image Analysis372 topics
  9. Computer-Aided Detection281 topic
  10. Histopathology Images281 topic
  11. Image Recognition271 topic
  12. Object Detection271 topic
  13. COVID-19161 topic
  14. Chest X-Ray161 topic
  15. Imaging121 topic
  16. PET/CT121 topic
  17. Graph Cuts91 topic
  18. Image Segmentation91 topic
  19. CT Screening81 topic
  20. Lung Cancer81 topic
  21. Dual-Energy CT71 topic
  22. Material Differentiation71 topic

Where does Ke Yan work?

Ke Yan's main affiliation in the publication record is Ping An (China), ??.

How many publications and citations does Ke Yan have?

OpenAlex counts 75 works and 3,193 citations for Ke Yan, an h-index of 25, ranking #353,163 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 Ke Yan

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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