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Researcher · Shanghai Artificial Intelligence Laboratory · ??

Diping Song

Diping Song publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology, on topics such as Retinal Imaging and Analysis, Glaucoma and retinal disorders and Advanced Neural Network Applications.

ORCID 0000-0002-5413-7702 OpenAlex
World rank
#1,862,267
of 7,710,434 ranked researchers
Rank in ??
#2,765
of 21,892
Works
24
Citations
493
Citations per work
20.5
h-index
8
i10-index 8Top 69% in Radiology, Nuclear Medicine and Imaging
Diping Song

What does Diping Song research?

Diping Song's work is mostly in Medicine (45%), Computer Science (33%), Engineering (5%).

Health Sciences: 12 works · 48.3% of their workMedicine: 11 works · 45.0% of their workRadiology, Nuclear Medicine and Imaging: 6 works · 26.7% of their workOphthalmology: 4 works · 18.3% of their workHealth Professions: 1 works · 3.3% of their workHealth Information Management: 1 works · 3.3% of their workPhysical Sciences: 9 works · 38.3% of their workComputer Science: 8 works · 33.3% of their workComputer Vision and Pattern Recognition: 6 works · 23.3% of their workArtificial Intelligence: 2 works · 10.0% of their workEngineering: 1 works · 5.0% of their workBiomedical Engineering: 1 works · 5.0% of their workEverything else: 3 works · 13.4% of their workTHEIR WORKDiping Song24works
Physical Sciences38%Health Sciences48%

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. Medicine1145.0%
    2. Health Professions13.3%
    1. Computer Science833.3%
    2. Engineering15.0%
  3. Everything else313.4%
  1. 1Radiology, Nuclear Medicine and Imaging27% of their works
  2. 2Computer Vision and Pattern Recognition23% of their works
  3. 3Ophthalmology18% of their works
  4. 4Artificial Intelligence10% of their works
  5. 5Biomedical Engineering5% of their works
  6. 6Health Information Management3% of their works

Research topics

Which keywords describe Diping Song's research?

The keywords of their largest research topics: Deep Learning, Glaucoma, Optic Nerve, Diabetic Retinopathy, Macular Degeneration, Retinal Disease, Vessel Segmentation and Intraocular Pressure.

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 23 words, with their numbers
  1. Deep Learning194 topics
  2. Glaucoma162 topics
  3. Optic Nerve162 topics
  4. Diabetic Retinopathy142 topics
  5. Macular Degeneration142 topics
  6. Retinal Disease101 topic
  7. Vessel Segmentation101 topic
  8. Intraocular Pressure61 topic
  9. Precision Medicine62 topics
  10. Predictive Modeling62 topics
  11. Retinal Ganglion Cells61 topic
  12. Convolutional Neural Networks41 topic
  13. Image Recognition41 topic
  14. Medical Imaging41 topic
  15. Oxidative Stress41 topic
  16. Radiomics41 topic
  17. Retinal Pigment Epithelium41 topic
  18. Neural Networks31 topic
  19. Spine Segmentation31 topic
  20. Vertebrae Detection31 topic
  21. Word Representation31 topic
  22. Electronic Health Records21 topic
  23. Healthcare21 topic

Where does Diping Song work?

Diping Song's main affiliation in the publication record is Shanghai Artificial Intelligence Laboratory, ??.

How many publications and citations does Diping Song have?

OpenAlex counts 24 works and 493 citations for Diping Song, an h-index of 8, ranking #1,862,267 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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