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Researcher · Peking University · China

Shaojun Xia

Shaojun Xia publishes mostly in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology, on topics such as Multimodal Machine Learning Applications, Radiomics and Machine Learning in Medical Imaging and Intracranial Aneurysms: Treatment and Complications.

ORCID 0000-0002-2225-7590 OpenAlex
World rank
#4,379,190
of 7,710,434 ranked researchers
Rank in China
#672,466
of 978,568
Works
15
Citations
29
Citations per work
1.9
h-index
3
i10-index 1Top 97% in Computer Vision and Pattern Recognition
Shaojun Xia

What does Shaojun Xia research?

Shaojun Xia's work is mostly in Medicine (37%), Computer Science (26%), Neuroscience (5%).

Health Sciences: 6 works · 37.2% of their workMedicine: 6 works · 37.2% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 16.3% of their workNeurology: 2 works · 11.6% of their workOncology: 1 works · 9.3% of their workEverything else: 5 works · 32.5% of their workPhysical Sciences: 4 works · 25.6% of their workComputer Science: 4 works · 25.6% of their workComputer Vision and Pattern Recognition: 2 works · 16.3% of their workArtificial Intelligence: 1 works · 9.3% of their workLife Sciences: 1 works · 4.7% of their workNeuroscience: 1 works · 4.7% of their workNeurology: 1 works · 4.7% of their workTHEIR WORKShaojun Xia15works
Life Sciences5%Physical Sciences26%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. Medicine637.2%
  2. Everything else532.5%
    1. Computer Science425.6%
    1. Neuroscience14.7%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Radiology, Nuclear Medicine and Imaging16% of their works
  3. 3Neurology12% of their works
  4. 4Oncology9% of their works
  5. 5Artificial Intelligence9% of their works
  6. 6Neurology5% of their works

Research topics

Which keywords describe Shaojun Xia's research?

The keywords of their largest research topics: Deep Learning, Feature Extraction, Medical Imaging, Image Captioning, Quantitative Analysis, Radiomics, Visual Question Answering and Transfer Learning.

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 20 words, with their numbers
  1. Deep Learning93 topics
  2. Feature Extraction72 topics
  3. Medical Imaging72 topics
  4. Image Captioning51 topic
  5. Quantitative Analysis51 topic
  6. Radiomics51 topic
  7. Visual Question Answering51 topic
  8. Transfer Learning42 topics
  9. Aneurysmal Subarachnoid Hemorrhage31 topic
  10. Intracranial Aneurysms31 topic
  11. Preoperative Chemoradiotherapy31 topic
  12. Rectal Cancer31 topic
  13. Brain Tumor21 topic
  14. Convolutional Neural Networks21 topic
  15. Domain Adaptation21 topic
  16. Ferroelectricity21 topic
  17. Few-Shot Learning21 topic
  18. Hafnium Oxide21 topic
  19. Image Recognition21 topic
  20. MRI21 topic

Where does Shaojun Xia work?

Shaojun Xia's main affiliation in the publication record is Peking University, China.

How many publications and citations does Shaojun Xia have?

OpenAlex counts 15 works and 29 citations for Shaojun Xia, an h-index of 3, ranking #4,379,190 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 Shaojun Xia

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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