Nanyang Technological University
In research, Nanyang Technological University stands highest in Computer Science (#4 of 4,667 worldwide), Artificial Intelligence (#2 of 1,884 worldwide) and Physical Sciences (#21 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Hardware and Architecture and Signal Processing — Computer Vision and Pattern Recognition is 3.8× its share of world research.
- World rank, 2022–2025
- #27 of 28,054 · #68 all time
- Rank in Singapore
- #2 of 84
- Research works
- 96k ▼ 4% vs 2013–17
- Citations
- 3.2M 33.1 per fractional work
- Top-10% rate
- 32.2% record average 16.5%
- Open access
- 27% world 28%
What is Nanyang Technological University 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #4 of 4,667 | 35.5% | 3,162 | #30 | |
| Artificial IntelligenceSubfield | #2 of 1,884 | 36.3% | 1,186 | #10 | |
| Physical SciencesDomain | #21 of 12,888 | 31.7% | 11,204 | #50 | |
| Computer Vision and Pattern RecognitionSubfield | #2 of 941 | 35.7% | 799 | #8 | |
| EngineeringField | #16 of 6,636 | 30.8% | 5,164 | #7 | |
| Social SciencesDomain | #51 of 10,521 | 36.2% | 3,088 | #131 | |
| Information SystemsSubfield | #8 of 1,291 | 41.0% | 245 | #16 | |
| Social SciencesField | #43 of 6,365 | 38.2% | 1,496 | #94 | |
| Electrical and Electronic EngineeringSubfield | #16 of 2,318 | 25.6% | 1,611 | #5 | |
| Biomedical EngineeringSubfield | #12 of 1,568 | 30.1% | 650 | #7 |
Each strip is that field’s whole ranked pool, with the notch where Nanyang Technological University 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.
- Computer Science#30 #4
- Artificial Intelligence#10 #2
- Physical Sciences#50 #21
- Computer Vision and Pattern Recognition#8 #2
- Engineering#7 #16
- Social Sciences#131 #51
- Information Systems#16 #8
- Social Sciences#94 #43
- Electrical and Electronic Engineering#5 #16
- Biomedical Engineering#7 #12
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Nanyang Technological University specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 3.8× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 798.7 works3.8×
- Hardware and ArchitectureSubfield · 66.7 works3.6×
- Signal ProcessingSubfield · 171.0 works3.4×
- Automotive EngineeringSubfield · 273.6 works3.1×
- Artificial IntelligenceSubfield · 1,186.0 works3.0×
- Electrical and Electronic EngineeringSubfield · 1,610.9 works2.7×
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, 2.5×. Every wedge is a field page.
- Computer Science 2.5×
- Engineering 2.1×
- Energy 1.7×
- Materials Science 1.6×
- Physics and Astronomy 1.3×
- Decision Sciences 1.2×
- Chemical Engineering 1.2×
- Psychology 1.2×
- Chemistry 1.2×
- Neuroscience 1.1×
- Earth and Planetary Sciences 0.8×
- Social Sciences 0.7×
- Environmental Science 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Mathematics 0.6×
- Economics, Econometrics and Finance 0.6×
- Arts and Humanities 0.6×
- Business, Management and Accounting 0.5×
- Immunology and Microbiology 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Health Professions 0.3×
- Medicine 0.3×
- Nursing 0.2×
- Agricultural and Biological Sciences 0.2×
- Dentistry 0.1×
- Veterinary 0.1×
Who are the top researchers at Nanyang Technological University?
Ranked on the composite score, Chen Change Loy, Xiong Wen Lou and Erik Cambria lead among researchers whose main affiliation is Nanyang Technological University.
- 1 Chen Change Loy Singapore · #75 worldwide 7.7k citations · 173 works
- 2 Xiong Wen Lou Singapore · #2,326 worldwide 4.2k citations · 83 works
- 3 Erik Cambria Singapore · #2,691 worldwide 2.9k citations · 189 works
- 4 Josep Pou Singapore · #4,502 worldwide 1.8k citations · 137 works
- 5 Guang-Bin Huang Singapore · #5,224 worldwide 1.9k citations · 61 works
- 6 Ponnuthurai Nagaratnam Suganthan Singapore · #7,495 worldwide 3k citations · 166 works
- 7 Ching Sing Chai Singapore · #10,567 worldwide 946 citations · 75 works
- 8 Y. D. Chong Singapore · #12,396 worldwide 1.1k citations · 58 works
- 9 Stephan C. Schuster Singapore · #13,995 worldwide 1.7k citations · 43 works
- 10 Hua Zhang Singapore · #14,291 worldwide 5.9k citations · 408 works
Which keywords describe research at Nanyang Technological University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Unsupervised Learning, Representation Learning, Power Electronics and Security.
- Singapore
- Social Cohesion
- Citizenship Education
- Authoritarianism
- Reinforcement Learning
- Semi-Supervised Learning
- Multi-Agent Systems
- Autonomous Vehicles
- Collision Avoidance
- Cathode Materials
- Biosensors
- Microstructure
- Power Electronics
- Graphene
- Security
- Energy Efficiency
- Mechanical Properties
- Biomedical Applications
- Globalization
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Nanomaterials
- Renewable Energy
- Nanoparticles
- Energy Storage
- Nanocomposites
- Renewable Energy Integration
- Additive Manufacturing
- Unsupervised Learning
- Smart Grid
- Representation Learning
- Convolutional Networks
- Wireless Communications
- Energy Harvesting
- Neuromorphic Computing
- Education Policy
- Ethnic Diversity
- State Intervention
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 Learning1,684▲ 3.0×84 topics
- Machine Learning970▲ 1.79×90 topics
- Neural Networks869▲ 3.4×38 topics
- Globalization321◆ 0.99×87 topics
- Convolutional Neural Networks320▲ 2.6×14 topics
- Biomedical Applications314▲ 1.60×35 topics
- Nanomaterials292▲ 1.67×20 topics
- Mechanical Properties287▲ 1.79×38 topics
- Renewable Energy282▲ 1.19×40 topics
- Energy Efficiency280▲ 1.80×40 topics
- Nanoparticles265▲ 1.27×44 topics
- Security254▲ 2.4×24 topics
- Energy Storage251▲ 2.3×13 topics
- Graphene212▲ 1.87×12 topics
- Nanocomposites205▲ 1.54×22 topics
- Power Electronics204▲ 3.7×8 topics
- Renewable Energy Integration199▲ 3.6×5 topics
- Microstructure190▲ 2.2×19 topics
- Additive Manufacturing189▲ 3.7×8 topics
- Biosensors180▲ 2.1×12 topics
- Unsupervised Learning168▲ 7.2×3 topics
- Cathode Materials162▲ 2.5×3 topics
- Smart Grid161▲ 2.6×10 topics
- Collision Avoidance160▲ 5.3×4 topics
- Representation Learning156▲ 6.8×3 topics
- Autonomous Vehicles155▲ 4.5×5 topics
- Convolutional Networks140▲ 6.0×3 topics
- Multi-Agent Systems140▲ 4.5×6 topics
- Wireless Communications122▲ 4.2×5 topics
- Semi-Supervised Learning120▲ 6.5×3 topics
- Energy Harvesting117▲ 3.9×3 topics
- Reinforcement Learning105▲ 5.8×4 topics
- Neuromorphic Computing103▲ 5.3×2 topics
- Authoritarianism101▲ 6.8×4 topics
- Education Policy95▲ 8.8×3 topics
- Citizenship Education94▲ 8.9×4 topics
- Ethnic Diversity90▲ 8.7×6 topics
- Social Cohesion87▲ 9.5×5 topics
- State Intervention86▲ 16×3 topics
- Singapore83▲ 55×1 topic
Which research topics does Nanyang Technological University publish most on?
By volume in 2022–2025: Topic Modeling, Advanced Sensor and Energy Harvesting Materials, Socioeconomic Development in Asia and Additive Manufacturing and 3D Printing Technologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 89 works
- 2 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 87 works
- 3 Socioeconomic Development in Asia Sociology and Political Science 83 works
- 4 Additive Manufacturing and 3D Printing Technologies Automotive Engineering 81 works
- 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 80 works
- 6 Perovskite Materials and Applications Electrical and Electronic Engineering 77 works
- 7 Privacy-Preserving Technologies in Data Artificial Intelligence 75 works
- 8 Advanced Memory and Neural Computing Electrical and Electronic Engineering 73 works
- 9 Microgrid Control and Optimization Control and Systems Engineering 72 works
- 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 70 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 Nanyang Technological University's research output changed?
Output in 2018–2022 was 4% lower 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 Singapore
- National University of Singapore
- Agency for Science, Technology and Research
- Singapore General Hospital
- Singapore Management University
- National University Hospital
- Institute for Infocomm Research
- Singapore University of Technology and Design
- Tan Tock Seng Hospital
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.