- 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.
Rings at 0.5×, 1× and 2×. Widest outward: Immunology and Microbiology, 4.7×. Every wedge is a field page.
- Immunology and Microbiology 4.7×
- Veterinary 2.8×
- Biochemistry, Genetics and Molecular Biology 2.5×
- Medicine 1.9×
- Computer Science 1.5×
- Engineering 1.2×
- Psychology 1.0×
- Materials Science 0.8×
- Physics and Astronomy 0.8×
- Agricultural and Biological Sciences 0.8×
- Health Professions 0.5×
- Dentistry 0.4×
- Neuroscience 0.3×
- Chemistry 0.3×
- Nursing 0.2×
- Environmental Science 0.1×
- Social Sciences 0.1×
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.
- Opuntia
- Betalains
- Radiomics
- Pneumonia
- Chimeric Antigen Receptor
- Transfer Learning
- Nutrition
- Thin-Film Transistors
- Histopathology Images
- Antibiotic Resistance
- Clinical Practice Guidelines
- Solar Cells
- Precision Medicine
- Semiconductor Manufacturing
- Fabric Defect Detection
- Treatment
- Machine Vision
- Medical Imaging
- Convolutional Neural Networks
- Epidemiology
- Deep Learning
- Machine Learning
- Texture Analysis
- Diagnosis
- Feature Extraction
- Medical Image Analysis
- Immunotherapy
- Vaccine Development
- Cancer Immunotherapy
- Antimicrobial Resistance
- Image Processing
- Computer-Aided Detection
- Plasmonics
- Inflammatory Diseases
- Predictive Modeling
- CAR T Cells
- Gut Microbiota
- Quantitative Analysis
- Short-Chain Fatty Acids
- Immunocompromised Patients
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
- Deep Learning10▲ 4.9×33 topics
- Epidemiology8▲ 3.3×32 topics
- Machine Learning6▲ 3.1×15 topics
- Convolutional Neural Networks4▲ 9.5×10 topics
- Texture Analysis4▲ 28×3 topics
- Medical Imaging3▲ 11×7 topics
- Diagnosis3▲ 5.5×13 topics
- Machine Vision3▲ 23×2 topics
- Feature Extraction3▲ 10×6 topics
- Treatment3▲ 3.9×14 topics
- Medical Image Analysis3▲ 24×4 topics
- Fabric Defect Detection2▲ 47×1 topic
- Immunotherapy2▲ 5.2×9 topics
- Semiconductor Manufacturing2▲ 47×1 topic
- Vaccine Development2▲ 13×5 topics
- Precision Medicine2▲ 7.0×4 topics
- Cancer Immunotherapy2▲ 20×2 topics
- Solar Cells2▲ 15×3 topics
- Antimicrobial Resistance2▲ 15×3 topics
- Clinical Practice Guidelines2▲ 5.2×5 topics
- Image Processing2▲ 6.4×4 topics
- Antibiotic Resistance2▲ 7.2×7 topics
- Computer-Aided Detection2▲ 32×1 topic
- Histopathology Images2▲ 32×1 topic
- Plasmonics2▲ 50×1 topic
- Thin-Film Transistors2▲ 133×1 topic
- Inflammatory Diseases2▲ 14×3 topics
- Nutrition2▲ 5.5×3 topics
- Predictive Modeling2▲ 9.3×2 topics
- Transfer Learning2▲ 13×3 topics
- CAR T Cells1▲ 33×1 topic
- Chimeric Antigen Receptor1▲ 33×1 topic
- Gut Microbiota1▲ 7.0×2 topics
- Pneumonia1▲ 51×3 topics
- Quantitative Analysis1▲ 12×1 topic
- Radiomics1▲ 21×1 topic
- Short-Chain Fatty Acids1▲ 21×1 topic
- Betalains1▲ 85×1 topic
- Immunocompromised Patients1▲ 38×2 topics
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 2 works
- 2 AI in cancer detection Artificial Intelligence 2 works
- 3 Thin-Film Transistor Technologies Electrical and Electronic Engineering 2 works
- 4 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 1 works
- 5 Gut microbiota and health Molecular Biology 1 works
- 6 CAR-T cell therapy research Oncology 1 works
- 7 Botanical Research and Applications Food Science 1 works
- 8 Pneumonia and Respiratory Infections Epidemiology 1 works
- 9 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 1 works
- 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.
World: 28% of research is openly available.
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.
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
- Sun Yat-sen University
- South China University of Technology
- Jinan University
- Guangdong University of Technology
- South China Normal University
- Southern Medical University
- South China Agricultural University
- Guangzhou University
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.