VinUniversity
In research, VinUniversity stands highest in Social Sciences (#3,968 of 10,521 worldwide), Computer Science (#1,821 of 4,667 worldwide) and Health Sciences (#4,730 of 11,982 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Artificial Intelligence — Computer Vision and Pattern Recognition is 4.5× its share of world research.
- World rank, 2022–2025
- #5,071 of 28,054 · #12,519 all time
- Rank in Vietnam
- #21 of 161
- Research works
- 789 ▲ 2261% vs 2013–17
- Citations
- 5.8k 7.4 per fractional work
- Top-10% rate
- 25.0% record average 16.5%
- Open access
- 59% world 28%
What is VinUniversity known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Social SciencesDomain | #3,968 of 10,521 | 29.2% | 119 | #8217 | |
| Computer ScienceField | #1,821 of 4,667 | 27.9% | 100 | #3830 | |
| Health SciencesDomain | #4,730 of 11,982 | 22.8% | 163 | #12739 | |
| Physical SciencesDomain | #5,292 of 12,888 | 24.4% | 222 | #11608 | |
| MedicineField | #5,474 of 10,443 | 18.2% | 131 | #13187 | |
| EngineeringField | #3,502 of 6,636 | 21.2% | 73 | — |
Each strip is that field’s whole ranked pool, with the notch where VinUniversity sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Social Sciences#8,217 #3,968
- Computer Science#3,830 #1,821
- Health Sciences#12,739 #4,730
- Physical Sciences#11,608 #5,292
- Medicine#13,187 #5,474
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does VinUniversity specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 4.5× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 30.5 works4.5×
- Artificial IntelligenceSubfield · 44.6 works3.4×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
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: Computer Science, 2.4×. Every wedge is a field page.
- Computer Science 2.4×
- Health Professions 1.8×
- Nursing 1.8×
- Economics, Econometrics and Finance 1.5×
- Decision Sciences 1.4×
- Medicine 1.3×
- Psychology 1.3×
- Business, Management and Accounting 1.1×
- Immunology and Microbiology 1.1×
- Energy 0.9×
- Engineering 0.9×
- Neuroscience 0.8×
- Environmental Science 0.8×
- Chemical Engineering 0.8×
- Social Sciences 0.7×
- Materials Science 0.6×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Dentistry 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Earth and Planetary Sciences 0.4×
- Arts and Humanities 0.4×
- Chemistry 0.3×
- Physics and Astronomy 0.2×
- Agricultural and Biological Sciences 0.2×
- Veterinary 0.2×
- Mathematics 0.2×
Who are the top researchers at VinUniversity?
Ranked on the composite score, Kok‐Seng Wong and Hieu H. Pham lead among researchers whose main affiliation is VinUniversity.
- 1 Kok‐Seng Wong Vietnam · #950,842 worldwide 30 citations · 22 works
- 2 Hieu H. Pham Vietnam · #1,039,440 worldwide 20 citations · 18 works
Which keywords describe research at VinUniversity?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Machine Learning, Epidemiology, Unsupervised Learning, Medical Imaging and Information Retrieval.
- Federated Learning
- Continuing Medical Education
- Competency-Based Education
- Semi-Supervised Learning
- Meta-Learning
- Convolutional Networks
- Predictive Modeling
- Health Disparities
- Precision Medicine
- Set Pair Analysis
- Classification
- Energy Storage
- Ethical Considerations
- Social Support
- Health Equity
- Unsupervised Learning
- Medical Imaging
- Public Health
- Epidemiology
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Mental Health
- Risk Assessment
- Information Retrieval
- Text Classification
- Representation Learning
- Transfer Learning
- Topic Modeling
- Fuzzy Mathematics
- Machine Translation
- Word Representation
- Community Engagement
- Battery Technology
- Generative Adversarial Networks
- Deep Neural Networks
- Faculty Development
- CT Scan
- Differential Privacy
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 Learning59▲ 3.2×58 topics
- Neural Networks35▲ 4.2×25 topics
- Machine Learning28▲ 1.59×43 topics
- Epidemiology27▲ 1.26×73 topics
- Convolutional Neural Networks19▲ 4.8×11 topics
- Public Health16▲ 1.99×28 topics
- Mental Health13▲ 1.68×22 topics
- Medical Imaging12▲ 4.3×6 topics
- Risk Assessment10▲ 2.6×6 topics
- Unsupervised Learning9▲ 12×3 topics
- Information Retrieval9▲ 7.4×3 topics
- Health Equity8▲ 5.7×4 topics
- Text Classification8▲ 9.9×2 topics
- Social Support8▲ 2.8×9 topics
- Representation Learning8▲ 11×3 topics
- Ethical Considerations8▲ 4.3×7 topics
- Transfer Learning8▲ 7.4×3 topics
- Energy Storage8▲ 2.1×7 topics
- Topic Modeling7▲ 9.2×2 topics
- Classification7▲ 2.9×12 topics
- Fuzzy Mathematics7▲ 63×1 topic
- Set Pair Analysis7▲ 63×1 topic
- Machine Translation7▲ 7.8×1 topic
- Precision Medicine7▲ 2.7×6 topics
- Word Representation7▲ 11×1 topic
- Health Disparities6▲ 4.3×5 topics
- Community Engagement6▲ 3.3×6 topics
- Predictive Modeling6▲ 4.0×3 topics
- Battery Technology6▲ 3.6×3 topics
- Convolutional Networks6▲ 7.4×3 topics
- Generative Adversarial Networks5▲ 12×2 topics
- Meta-Learning5▲ 11×2 topics
- Deep Neural Networks5▲ 8.1×3 topics
- Semi-Supervised Learning5▲ 7.8×3 topics
- Faculty Development4▲ 11×2 topics
- Competency-Based Education4▲ 8.9×2 topics
- CT Scan4▲ 7.7×2 topics
- Continuing Medical Education4▲ 12×1 topic
- Differential Privacy4▲ 10×1 topic
- Federated Learning4▲ 10×1 topic
Which research topics does VinUniversity publish most on?
By volume in 2022–2025: Research studies in Vietnam, Topic Modeling, Privacy-Preserving Technologies in Data and Innovations in Medical Education.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Research studies in Vietnam Ecology 7 works
- 2 Topic Modeling Artificial Intelligence 7 works
- 3 Privacy-Preserving Technologies in Data Artificial Intelligence 4 works
- 4 Innovations in Medical Education Public Health, Environmental and Occupational Health 4 works
- 5 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 4 works
- 6 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 4 works
- 7 Participatory Visual Research Methods Sociology and Political Science 3 works
- 8 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
- 9 Food Security and Health in Diverse Populations General Health Professions 3 works
- 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 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 VinUniversity's research output changed?
Output in 2018–2022 was 2261% 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 Hanoi
- Hanoi University of Science and Technology
- Vietnam Academy of Science and Technology
- Vietnam National University, Hanoi
- General Department of Preventive Medicine
- VNU University of Science
- Le Quy Don Technical University
- FPT University
- Hanoi National University of Education
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.