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Researcher · The University of Osaka · Japan

Shuqiong Wu

Shuqiong Wu publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, on topics such as EEG and Brain-Computer Interfaces, Medical Image Segmentation Techniques and Emotion and Mood Recognition.

ORCID 0000-0003-1501-9719 OpenAlex
World rank
#5,003,163
of 7,710,434 ranked researchers
Rank in Japan
#157,296
of 383,136
Works
46
Citations
335
Citations per work
7.3
h-index
8
i10-index 8Top 60% in Computer Vision and Pattern Recognition
Shuqiong Wu

What does Shuqiong Wu research?

Shuqiong Wu's work is mostly in Computer Science (30%), Engineering (12%), Neuroscience (11%).

Physical Sciences: 19 works · 42.3% of their workComputer Science: 14 works · 30.1% of their workComputer Vision and Pattern Recognition: 7 works · 16.3% of their workArtificial Intelligence: 6 works · 13.8% of their workEngineering: 6 works · 12.2% of their workBiomedical Engineering: 6 works · 12.2% of their workEverything else: 16 works · 34.1% of their workLife Sciences: 5 works · 10.6% of their workNeuroscience: 5 works · 10.6% of their workCognitive Neuroscience: 5 works · 10.6% of their workHealth Sciences: 3 works · 6.5% of their workMedicine: 3 works · 6.5% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 6.5% of their workSocial Sciences: 3 works · 6.5% of their workPsychology: 3 works · 6.5% of their workExperimental and Cognitive Psychology: 3 works · 6.5% of their workTHEIR WORKShuqiong Wu46works
Life Sciences11%Physical Sciences42%Health Sciences6%Social Sciences6%

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 Science1430.1%
    2. Engineering612.2%
  2. Everything else1634.1%
    1. Neuroscience510.6%
    1. Medicine36.5%
    1. Psychology36.5%
  1. 1Computer Vision and Pattern Recognition16% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Biomedical Engineering12% of their works
  4. 4Cognitive Neuroscience11% of their works
  5. 5Experimental and Cognitive Psychology6% of their works
  6. 6Radiology, Nuclear Medicine and Imaging6% of their works

Research topics

Which keywords describe Shuqiong Wu's research?

The keywords of their largest research topics: Deep Learning, Human-Computer Interaction, Brain-Computer Interfaces, EEG Analysis, Emotion Recognition, Image Segmentation, Medical Image Analysis and Multimodal Data.

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.

All 18 words, with their numbers
  1. Deep Learning203 topics
  2. Human-Computer Interaction132 topics
  3. Brain-Computer Interfaces81 topic
  4. EEG Analysis81 topic
  5. Emotion Recognition71 topic
  6. Image Segmentation71 topic
  7. Medical Image Analysis71 topic
  8. Multimodal Data71 topic
  9. Gesture Recognition61 topic
  10. Hand Gesture61 topic
  11. Alzheimer's Disease51 topic
  12. Mild Cognitive Impairment51 topic
  13. Dual-Energy CT41 topic
  14. Hyperparameter Optimization41 topic
  15. Imaging41 topic
  16. Material Differentiation41 topic
  17. Noisy Labels41 topic
  18. PET/CT41 topic

Where does Shuqiong Wu work?

Shuqiong Wu's main affiliation in the publication record is The University of Osaka, Japan.

How many publications and citations does Shuqiong Wu have?

OpenAlex counts 46 works and 335 citations for Shuqiong Wu, an h-index of 8, ranking #5,003,163 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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 Shuqiong Wu

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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