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Researcher · Nvidia (United States) · United States

Daguang Xu

Daguang Xu publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Advanced Neural Network Applications, Radiomics and Machine Learning in Medical Imaging and COVID-19 diagnosis using AI.

ORCID 0000-0002-4621-881X OpenAlex
World rank
#72,759
of 7,710,434 ranked researchers
Rank in United States
#28,072
of 1,627,098
Works
248
Citations
18k
Citations per work
72.6
h-index
47
i10-index 112Top 1.4% in Computer Vision and Pattern Recognition
Daguang Xu

What does Daguang Xu research?

Daguang Xu's work is mostly in Computer Science (46%), Medicine (27%), Engineering (9%).

Physical Sciences: 137 works · 55.4% of their workComputer Science: 115 works · 46.4% of their workArtificial Intelligence: 58 works · 23.2% of their workComputer Vision and Pattern Recognition: 58 works · 23.2% of their workEngineering: 22 works · 9.0% of their workBiomedical Engineering: 22 works · 9.0% of their workHealth Sciences: 67 works · 27.2% of their workMedicine: 67 works · 27.2% of their workRadiology, Nuclear Medicine and Imaging: 48 works · 19.4% of their workPulmonary and Respiratory Medicine: 12 works · 4.8% of their workHealth Informatics: 7 works · 3.0% of their workEverything else: 43 works · 17.4% of their workTHEIR WORKDaguang Xu248works
Physical Sciences55%Health Sciences27%

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 Science11546.4%
    2. Engineering229.0%
    1. Medicine6727.2%
  3. Everything else4317.4%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Artificial Intelligence23% of their works
  3. 3Radiology, Nuclear Medicine and Imaging19% of their works
  4. 4Biomedical Engineering9% of their works
  5. 5Pulmonary and Respiratory Medicine5% of their works
  6. 6Health Informatics3% of their works

Research topics

Which keywords describe Daguang Xu's research?

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

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 24 words, with their numbers
  1. Deep Learning2195 topics
  2. Convolutional Neural Networks1493 topics
  3. Machine Learning1333 topics
  4. Medical Imaging1082 topics
  5. Texture Analysis1052 topics
  6. Medical Image Analysis1023 topics
  7. Artificial Intelligence732 topics
  8. Image Recognition731 topic
  9. Object Detection731 topic
  10. Transfer Learning652 topics
  11. Quantitative Analysis641 topic
  12. Radiomics641 topic
  13. COVID-19441 topic
  14. Chest X-Ray441 topic
  15. Graph Cuts411 topic
  16. Image Segmentation411 topic
  17. Differential Privacy371 topic
  18. Federated Learning371 topic
  19. Computer-Aided Detection321 topic
  20. Histopathology Images321 topic
  21. Spine Segmentation291 topic
  22. Vertebrae Detection291 topic
  23. Domain Adaptation211 topic
  24. Few-Shot Learning211 topic

Where does Daguang Xu work?

Daguang Xu's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Daguang Xu have?

OpenAlex counts 248 works and 18,012 citations for Daguang Xu, an h-index of 47, ranking #72,759 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.

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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