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Researcher · PLA Information Engineering University · China

Linyuan Wang

Linyuan Wang publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience, on topics such as Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging and Visual Attention and Saliency Detection.

ORCID 0000-0003-1087-5911 OpenAlex
World rank
#1,688,164
of 7,710,434 ranked researchers
Rank in China
#255,337
of 978,568
Works
233
Citations
3k
Citations per work
12.9
h-index
30
i10-index 60Top 9.7% in Radiology, Nuclear Medicine and Imaging
Linyuan Wang

What does Linyuan Wang research?

Linyuan Wang's work is mostly in Computer Science (23%), Medicine (16%), Engineering (13%).

Physical Sciences: 84 works · 36.2% of their workComputer Science: 54 works · 23.2% of their workComputer Vision and Pattern Recognition: 31 works · 13.1% of their workArtificial Intelligence: 24 works · 10.1% of their workEngineering: 30 works · 13.0% of their workBiomedical Engineering: 18 works · 7.9% of their workElectrical and Electronic Engineering: 12 works · 5.1% of their workEverything else: 83 works · 35.7% of their workHealth Sciences: 38 works · 16.2% of their workMedicine: 38 works · 16.2% of their workRadiology, Nuclear Medicine and Imaging: 38 works · 16.2% of their workLife Sciences: 28 works · 11.9% of their workNeuroscience: 28 works · 11.9% of their workCognitive Neuroscience: 28 works · 11.9% of their workTHEIR WORKLinyuan Wang233works
Life Sciences12%Physical Sciences36%Health Sciences16%

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 Science5423.2%
    2. Engineering3013.0%
  2. Everything else8335.7%
    1. Medicine3816.2%
    1. Neuroscience2811.9%
  1. 1Radiology, Nuclear Medicine and Imaging16% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Cognitive Neuroscience12% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Biomedical Engineering8% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Linyuan Wang's research?

The keywords of their largest research topics: Deep Learning, Imaging, PET/CT, Neural Networks, Dual-Energy CT, Material Differentiation, Saliency Detection and Visual Attention.

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 18 words, with their numbers
  1. Deep Learning743 topics
  2. Imaging601 topic
  3. PET/CT601 topic
  4. Neural Networks502 topics
  5. Dual-Energy CT461 topic
  6. Material Differentiation461 topic
  7. Saliency Detection271 topic
  8. Visual Attention271 topic
  9. Magnetic Resonance Imaging241 topic
  10. Perfusion Imaging241 topic
  11. Adversarial Examples231 topic
  12. Cortical Networks231 topic
  13. Neuronal Oscillations231 topic
  14. Robustness231 topic
  15. Neural Processing161 topic
  16. Visual Perception161 topic
  17. Face Perception151 topic
  18. Neural Mechanisms151 topic

Where does Linyuan Wang work?

Linyuan Wang's main affiliation in the publication record is PLA Information Engineering University, China.

How many publications and citations does Linyuan Wang have?

OpenAlex counts 233 works and 3,017 citations for Linyuan Wang, an h-index of 30, ranking #1,688,164 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 Linyuan Wang

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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