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Researcher · Auburn University · United States

Su Diao

Su Diao publishes mostly in Civil and Structural Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, on topics such as AI in cancer detection, Innovative concrete reinforcement materials and Radiomics and Machine Learning in Medical Imaging.

ORCID 0009-0009-7557-4141 OpenAlex
World rank
#2,025,894
of 7,710,434 ranked researchers
Rank in United States
#614,125
of 1,627,098
Works
23
Citations
542
Citations per work
23.6
h-index
8
i10-index 8Top 56% in Civil and Structural Engineering
Su Diao

What does Su Diao research?

Su Diao's work is mostly in Engineering (30%), Computer Science (17%), Medicine (12%).

Physical Sciences: 11 works · 47.1% of their workEngineering: 7 works · 30.4% of their workCivil and Structural Engineering: 4 works · 16.7% of their workMechanical Engineering: 2 works · 7.6% of their workBuilding and Construction: 1 works · 6.1% of their workComputer Science: 4 works · 16.7% of their workArtificial Intelligence: 2 works · 10.6% of their workComputer Vision and Pattern Recognition: 1 works · 6.1% of their workEverything else: 9 works · 40.8% of their workHealth Sciences: 3 works · 12.1% of their workMedicine: 3 works · 12.1% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 12.1% of their workTHEIR WORKSu Diao23works
Physical Sciences47%Health Sciences12%

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. Engineering730.4%
    2. Computer Science416.7%
  2. Everything else940.8%
    1. Medicine312.1%
  1. 1Civil and Structural Engineering17% of their works
  2. 2Radiology, Nuclear Medicine and Imaging12% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Mechanical Engineering8% of their works
  5. 5Building and Construction6% of their works
  6. 6Computer Vision and Pattern Recognition6% of their works

Research topics

Which keywords describe Su Diao's research?

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

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 21 words, with their numbers
  1. Machine Learning123 topics
  2. Deep Learning103 topics
  3. Feature Extraction72 topics
  4. Medical Image Analysis72 topics
  5. Medical Imaging72 topics
  6. Computer-Aided Detection51 topic
  7. Histopathology Images51 topic
  8. Fiber Reinforced Concrete41 topic
  9. Mechanical Properties41 topic
  10. Quantitative Analysis41 topic
  11. Radiomics41 topic
  12. Brain Tumor31 topic
  13. Cementitious Materials31 topic
  14. Geopolymer31 topic
  15. MRI31 topic
  16. Biodeterioration21 topic
  17. Construction21 topic
  18. Fiber-Reinforced Polymer Composites21 topic
  19. Geomycology21 topic
  20. Spine Segmentation21 topic
  21. Vertebrae Detection21 topic

Where does Su Diao work?

Su Diao's main affiliation in the publication record is Auburn University, United States.

How many publications and citations does Su Diao have?

OpenAlex counts 23 works and 542 citations for Su Diao, an h-index of 8, ranking #2,025,894 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.

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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