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Company · Guangzhou · China

Vision Medicals (China)

Research works
86
▲ 737% vs 2013–17
Citations
1.2k
14.5 per fractional work
Top-10% rate
17.5%
record average 16.5%
Open access
57%
world 28%

Not ranked overall: Vision Medicals (China) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Agricultural and Biological Sciences: 0.76× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 2.52× its world share, 8 worksBiochemistry, Geneti…Immunology and Microbiology: 4.72× its world share, 3 worksImmunology and Micro…Neuroscience: 0.33× its world share, 0 worksNeuroscienceChemistry: 0.31× its world share, 0 worksChemistryComputer Science: 1.54× its world share, 7 worksComputer ScienceEngineering: 1.24× its world share, 11 worksEngineeringEnvironmental Science: 0.15× its world share, 0 worksEnvironmental ScienceMaterials Science: 0.83× its world share, 2 worksMaterials SciencePhysics and Astronomy: 0.78× its world share, 1 worksPhysics and AstronomyDentistry: 0.39× its world share, 0 worksDentistryHealth Professions: 0.45× its world share, 1 worksHealth ProfessionsMedicine: 1.85× its world share, 21 worksMedicineNursing: 0.23× its world share, 0 worksNursingVeterinary: 2.77× its world share, 0 worksVeterinaryPsychology: 0.96× its world share, 2 worksPsychologySocial Sciences: 0.07× its world share, 1 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Immunology and Microbiology, 4.7×. Every wedge is a field page.

Which keywords describe research at Vision Medicals (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Epidemiology, Convolutional Neural Networks, Machine Learning, Texture Analysis, Medical Imaging, Machine Vision and Feature Extraction.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Deep Learning10▲ 4.9×33 topics
  2. Epidemiology8▲ 3.3×32 topics
  3. Machine Learning6▲ 3.1×15 topics
  4. Convolutional Neural Networks4▲ 9.5×10 topics
  5. Texture Analysis4▲ 28×3 topics
  6. Medical Imaging3▲ 11×7 topics
  7. Diagnosis3▲ 5.5×13 topics
  8. Machine Vision3▲ 23×2 topics
  9. Feature Extraction3▲ 10×6 topics
  10. Treatment3▲ 3.9×14 topics
  11. Medical Image Analysis3▲ 24×4 topics
  12. Fabric Defect Detection2▲ 47×1 topic
  13. Immunotherapy2▲ 5.2×9 topics
  14. Semiconductor Manufacturing2▲ 47×1 topic
  15. Vaccine Development2▲ 13×5 topics
  16. Precision Medicine2▲ 7.0×4 topics
  17. Cancer Immunotherapy2▲ 20×2 topics
  18. Solar Cells2▲ 15×3 topics
  19. Antimicrobial Resistance2▲ 15×3 topics
  20. Clinical Practice Guidelines2▲ 5.2×5 topics
  21. Image Processing2▲ 6.4×4 topics
  22. Antibiotic Resistance2▲ 7.2×7 topics
  23. Computer-Aided Detection2▲ 32×1 topic
  24. Histopathology Images2▲ 32×1 topic
  25. Plasmonics2▲ 50×1 topic
  26. Thin-Film Transistors2▲ 133×1 topic
  27. Inflammatory Diseases2▲ 14×3 topics
  28. Nutrition2▲ 5.5×3 topics
  29. Predictive Modeling2▲ 9.3×2 topics
  30. Transfer Learning2▲ 13×3 topics
  31. CAR T Cells1▲ 33×1 topic
  32. Chimeric Antigen Receptor1▲ 33×1 topic
  33. Gut Microbiota1▲ 7.0×2 topics
  34. Pneumonia1▲ 51×3 topics
  35. Quantitative Analysis1▲ 12×1 topic
  36. Radiomics1▲ 21×1 topic
  37. Short-Chain Fatty Acids1▲ 21×1 topic
  38. Betalains1▲ 85×1 topic
  39. Immunocompromised Patients1▲ 38×2 topics
  40. Opuntia1▲ 85×1 topic

Which research topics does Vision Medicals (China) publish most on?

By volume in 2022–2025: Industrial Vision Systems and Defect Detection, AI in cancer detection, Thin-Film Transistor Technologies and Radiomics and Machine Learning in Medical Imaging.

  1. 1 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 2 works
  2. 2 AI in cancer detection Artificial Intelligence 2 works
  3. 3 Thin-Film Transistor Technologies Electrical and Electronic Engineering 2 works
  4. 4 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 1 works
  5. 5 Gut microbiota and health Molecular Biology 1 works
  6. 6 CAR-T cell therapy research Oncology 1 works
  7. 7 Botanical Research and Applications Food Science 1 works
  8. 8 Pneumonia and Respiratory Infections Epidemiology 1 works
  9. 9 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 1 works
  10. 10 Organic Light-Emitting Diodes Research Electrical and Electronic Engineering 1 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available57.3%not open42.7%

World: 28% of research is openly available.

with international co-authors25.2%domestic only74.8%

World: 19% is written across borders.

How has Vision Medicals (China)'s research output changed?

Output in 2018–2022 was 737% higher than in 2013–2017.

200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Guangzhou

All research institutions in Guangzhou

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.