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Researcher · Sichuan University · China

Sen Yang

Sen Yang publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging and Smart Agriculture and AI.

ORCID 0000-0002-0639-4122 OpenAlex
World rank
#161,482
of 7,710,434 ranked researchers
Rank in China
#15,624
of 978,568
Works
106
Citations
4.1k
Citations per work
38.4
h-index
28
i10-index 50Top 6.1% in Computer Vision and Pattern Recognition
Sen Yang

What does Sen Yang research?

Sen Yang's work is mostly in Computer Science (29%), Medicine (19%), Agricultural and Biological Sciences (6%).

Everything else: 43 works · 41.0% of their workPhysical Sciences: 31 works · 29.0% of their workComputer Science: 31 works · 29.0% of their workComputer Vision and Pattern Recognition: 18 works · 16.7% of their workArtificial Intelligence: 13 works · 12.3% of their workHealth Sciences: 20 works · 19.0% of their workMedicine: 20 works · 19.0% of their workRadiology, Nuclear Medicine and Imaging: 16 works · 15.0% of their workPulmonary and Respiratory Medicine: 4 works · 4.0% of their workLife Sciences: 12 works · 11.0% of their workAgricultural and Biological Sciences: 6 works · 5.7% of their workPlant Science: 6 works · 5.7% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 5.3% of their workMolecular Biology: 6 works · 5.3% of their workTHEIR WORKSen Yang106works
Life Sciences11%Physical Sciences29%Health Sciences19%

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 else4341.0%
    1. Computer Science3129.0%
    1. Medicine2019.0%
    1. Agricultural and Biological Sciences65.7%
    2. Biochemistry, Genetics and Molecular Biology65.3%
  1. 1Computer Vision and Pattern Recognition17% of their works
  2. 2Radiology, Nuclear Medicine and Imaging15% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Plant Science6% of their works
  5. 5Molecular Biology5% of their works
  6. 6Pulmonary and Respiratory Medicine4% of their works

Research topics

Which keywords describe Sen Yang's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Convolutional Neural Networks, Medical Image Analysis, Feature Extraction, Computer-Aided Detection, Histopathology Images and Medical Imaging.

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. Machine Learning725 topics
  2. Deep Learning474 topics
  3. Convolutional Neural Networks413 topics
  4. Medical Image Analysis342 topics
  5. Feature Extraction322 topics
  6. Computer-Aided Detection261 topic
  7. Histopathology Images261 topic
  8. Medical Imaging241 topic
  9. Radiomics241 topic
  10. Image Processing223 topics
  11. Leukemia Classification81 topic
  12. Malaria Parasite Detection81 topic
  13. Plant Disease Detection81 topic
  14. Smart Farming81 topic
  15. Image Recognition71 topic
  16. Object Detection71 topic
  17. Bioimage Analysis61 topic
  18. Camera Calibration61 topic
  19. Depth Estimation61 topic
  20. High-Content Screening61 topic
  21. Stereo Vision61 topic
  22. Structured Light61 topic

Where does Sen Yang work?

Sen Yang's main affiliation in the publication record is Sichuan University, China.

How many publications and citations does Sen Yang have?

OpenAlex counts 106 works and 4,070 citations for Sen Yang, an h-index of 28, ranking #161,482 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 Sen Yang

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