Nanyang Technological University
In research, Nanyang Technological University stands highest in Engineering (#11 of 5,901 worldwide), Computer Science (#9 of 4,417 worldwide) and Physical Sciences (#23 of 10,670 worldwide), 2022-now. 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-now
- #39 of 22,385 · #47 all time
- Rank in Singapore
- #2 of 61
- Research works
- 97k ▲ 3% vs 2018-21
- Citations
- 3.2M 33.1 per fractional work
- Top-10% rate
- 19.9% all institutions 10.0%
- vs its own fields
- 1.57× 1.00× is exactly expected
- Open access
- 27% world 40%
- International
- 35% world 18%
What is Nanyang Technological University known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| EngineeringField | #11 of 5,901 | 22.7% | 5,164 | #8 | |
| Computer ScienceField | #9 of 4,417 | 22.5% | 3,162 | #14 | |
| Physical SciencesDomain | #23 of 10,670 | 21.7% | 11,204 | #25 | |
| Electrical and Electronic EngineeringSubfield | #6 of 2,176 | 20.7% | 1,611 | #7 | |
| Computer Vision and Pattern RecognitionSubfield | #3 of 963 | 23.7% | 799 | #6 | |
| Information SystemsSubfield | #5 of 1,321 | 23.5% | 245 | #5 | |
| Social SciencesDomain | #38 of 9,585 | 17.9% | 3,088 | #31 | |
| Computer Networks and CommunicationsSubfield | #3 of 728 | 24.9% | 361 | #14 | |
| Artificial IntelligenceSubfield | #8 of 1,862 | 20.6% | 1,186 | #13 | |
| Social SciencesField | #29 of 5,988 | 18.2% | 1,496 | #29 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Engineering#8 #11
- Computer Science#14 #9
- Physical Sciences#25 #23
- Electrical and Electronic Engineering#7 #6
- Computer Vision and Pattern Recognition#6 #3
- Information Systems#5 #5
- Social Sciences#31 #38
- Computer Networks and Communications#14 #3
- Artificial Intelligence#13 #8
- Social Sciences#29 #29
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Nanyang Technological University work in?
In 2022-now, 68% of research at Nanyang Technological University is in Physical Sciences, 19% in Social Sciences. Its largest fields are Engineering (31%), Computer Science (19%), Social Sciences (9%). It does 1.7× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences13k67.8%
- Engineering5,70930.7%
- Computer Science3,59719.3%
- Materials Science1,0325.5%
- Environmental Science6153.3%
- Physics and Astronomy5513.0%
- Chemistry3371.8%
- Energy2921.6%
- Earth and Planetary Sciences2391.3%
- Mathematics1510.8%
- Chemical Engineering810.4%
- Social Sciences3,44718.5%
- Social Sciences1,6488.9%
- Psychology6963.7%
- Arts and Humanities3321.8%
- Business, Management and Accounting3011.6%
- Economics, Econometrics and Finance2381.3%
- Decision Sciences2311.2%
- Health Sciences1,2866.9%
- Medicine1,0825.8%
- Health Professions1720.9%
- Nursing230.1%
- Dentistry80.0%
- Veterinary20.0%
- Life Sciences1,2616.8%
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 · 900.2 works3.8×
- Hardware and ArchitectureSubfield · 74.1 works3.5×
- Signal ProcessingSubfield · 186.2 works3.3×
- Artificial IntelligenceSubfield · 1,373.6 works3.1×
- Automotive EngineeringSubfield · 295.6 works3.0×
- Electrical and Electronic EngineeringSubfield · 1,761.7 works2.7×
- Computer Networks and CommunicationsSubfield · 414.1 works2.5×
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.
All 26 fields, with their numbers
- Computer Science2.49×3,597 works
- Engineering2.05×5,709 works
- Energy1.71×292 works
- Materials Science1.59×1,032 works
- Physics and Astronomy1.33×551 works
- Decision Sciences1.29×231 works
- Chemical Engineering1.25×81 works
- Psychology1.23×696 works
- Chemistry1.16×338 works
- Neuroscience1.06×321 works
- Earth and Planetary Sciences0.82×239 works
- Social Sciences0.70×1,648 works
- Mathematics0.69×151 works
- Environmental Science0.67×614 works
- Biochemistry, Genetics and Molecular Biology0.64×635 works
- Arts and Humanities0.62×332 works
- Economics, Econometrics and Finance0.60×238 works
- Business, Management and Accounting0.50×301 works
- Immunology and Microbiology0.41×77 works
- Pharmacology, Toxicology and Pharmaceutics0.35×23 works
- Health Professions0.35×172 works
- Medicine0.30×1,082 works
- Nursing0.25×23 works
- Agricultural and Biological Sciences0.23×206 works
- Dentistry0.09×8 works
- Veterinary0.09×2 works
- Computer Science 2.5×
- Engineering 2.0×
- Energy 1.7×
- Materials Science 1.6×
- Physics and Astronomy 1.3×
- Decision Sciences 1.3×
- Chemical Engineering 1.2×
- Psychology 1.2×
- Chemistry 1.2×
- Neuroscience 1.1×
- Earth and Planetary Sciences 0.8×
- Social Sciences 0.7×
- Mathematics 0.7×
- Environmental Science 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Arts and Humanities 0.6×
- Economics, Econometrics and Finance 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 quality score, Xiong Wen Lou, Chen Change Loy and Kanyi Pu lead among researchers whose main affiliation is Nanyang Technological University.
- 1
Xiong Wen Lou
Singapore · #2 worldwide 155k citations · 583 works
- 2
Chen Change Loy
Singapore · #50 worldwide 86k citations · 611 works
- 3
Kanyi Pu
Singapore · #240 worldwide 52k citations · 393 works
- 4
Hong Jin Fan
Singapore · #756 worldwide 61k citations · 492 works
- 5
Qingyu Yan
Singapore · #1,390 worldwide 63k citations · 631 works
- 6
Zhichuan Jason Xu
Singapore · #1,432 worldwide 53k citations · 415 works
- 7
Kum Fai Yuen
Singapore · #1,544 worldwide 14k citations · 335 works
- 8
Ziwei Liu
Singapore · #1,563 worldwide 50k citations · 657 works
- 9
Hongyang Du
Singapore · #2,752 worldwide 10k citations · 403 works
- 10
Deyan Luan
Singapore · #2,989 worldwide 17k citations · 129 works
Which keywords describe research at Nanyang Technological University?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Unsupervised Learning, Representation Learning, Security and Energy Efficiency.
- State Intervention
- Ethnic Diversity
- Education Policy
- Authoritarianism
- Reinforcement Learning
- Robotics
- Convolutional Networks
- Autonomous Vehicles
- Collision Avoidance
- Representation Learning
- Unsupervised Learning
- Microstructure
- Power Electronics
- Graphene
- Nanoparticles
- Energy Efficiency
- Renewable Energy
- Biomedical Applications
- Globalization
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Mechanical Properties
- Nanomaterials
- Security
- Energy Storage
- Nanocomposites
- Renewable Energy Integration
- Additive Manufacturing
- Biosensors
- Cathode Materials
- Smart Grid
- Multi-Agent Systems
- Semi-Supervised Learning
- Wireless Communications
- Neuromorphic Computing
- Channel Estimation
- Citizenship Education
- Social Cohesion
Size is fractional works in 2022-now 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 Learning1,918▲ 3.0×84 topics
- Machine Learning1,100▲ 1.78×90 topics
- Neural Networks994▲ 3.5×38 topics
- Globalization357◆ 0.98×91 topics
- Convolutional Neural Networks352▲ 2.6×14 topics
- Biomedical Applications348▲ 1.58×35 topics
- Mechanical Properties324▲ 1.78×38 topics
- Renewable Energy321▲ 1.19×44 topics
- Nanomaterials321▲ 1.65×21 topics
- Energy Efficiency318▲ 1.85×40 topics
- Security292▲ 2.4×25 topics
- Nanoparticles292▲ 1.25×44 topics
- Energy Storage276▲ 2.3×13 topics
- Graphene233▲ 1.86×12 topics
- Nanocomposites223▲ 1.52×22 topics
- Power Electronics217▲ 3.6×8 topics
- Renewable Energy Integration213▲ 3.5×6 topics
- Microstructure210▲ 2.2×19 topics
- Additive Manufacturing208▲ 3.6×8 topics
- Unsupervised Learning194▲ 6.8×3 topics
- Biosensors191▲ 2.1×12 topics
- Representation Learning190▲ 6.5×3 topics
- Cathode Materials179▲ 2.5×3 topics
- Collision Avoidance175▲ 5.2×4 topics
- Smart Grid172▲ 2.6×10 topics
- Autonomous Vehicles167▲ 4.3×5 topics
- Multi-Agent Systems158▲ 4.5×6 topics
- Convolutional Networks152▲ 6.0×3 topics
- Semi-Supervised Learning143▲ 6.3×3 topics
- Robotics143▲ 3.1×10 topics
- Wireless Communications142▲ 4.4×5 topics
- Reinforcement Learning122▲ 5.7×4 topics
- Neuromorphic Computing111▲ 5.2×2 topics
- Authoritarianism108▲ 6.6×4 topics
- Channel Estimation104▲ 6.3×4 topics
- Education Policy103▲ 8.2×3 topics
- Citizenship Education100▲ 8.4×4 topics
- Ethnic Diversity96▲ 8.0×6 topics
- Social Cohesion93▲ 8.3×5 topics
- State Intervention92▲ 16×3 topics
Which research topics does Nanyang Technological University publish most on?
By volume in 2022-now: Topic Modeling, Advanced Sensor and Energy Harvesting Materials, Advanced Neural Network Applications and Socioeconomic Development in Asia.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 106 works
- 2 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 95 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 92 works
- 4 Socioeconomic Development in Asia Sociology and Political Science 89 works
- 5 Additive Manufacturing and 3D Printing Technologies Automotive Engineering 85 works
- 6 Privacy-Preserving Technologies in Data Artificial Intelligence 84 works
- 7 Perovskite Materials and Applications Electrical and Electronic Engineering 84 works
- 8 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 83 works
- 9 Adversarial Robustness in Machine Learning Artificial Intelligence 82 works
- 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 79 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: 40% of research is openly available.
World: 18% is written across borders.
How has Nanyang Technological University's research output changed?
Output in 2022-2025 was 3% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Nanyang Technological University as a percentage of every work published that year, 0.077% in 2024.
Fractional works of Nanyang Technological University over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 21.1% in 2024.
Other research institutions in Singapore
- National University of Singapore
- Agency for Science, Technology and Research
- Singapore General Hospital
- Singapore Management University
- Singapore University of Technology and Design
- Tan Tock Seng Hospital
- National University Health System
- KK Women's and Children's Hospital
Which institutions have research most like Nanyang Technological University's?
Among the world's leading institutions, Hong Kong University of Science and Technology has the research profile closest to Nanyang Technological University's, with both strong in Computer Science.
- 1
Hong Kong University of Science and Technology
China · Both strong in Computer Science, Engineering, Energy 0.92 Compare
- 2
Aalto University
Finland · Both strong in Engineering, Computer Science, Energy 0.90 Compare
- 3
Carnegie Mellon University
United States · Both strong in Computer Science, Physics and Astronomy, Engineering 0.89 Compare
- 4
South China Normal University
China · Both strong in Computer Science, Energy, Materials Science 0.88 Compare
- 5
Georgia Institute of Technology
United States · Both strong in Computer Science, Engineering, Materials Science 0.88 Compare
Similarity is the correlation of each side's location quotients across every field it publishes in, on a log scale: 1 is the same shape of research, 0 is unrelated. It ignores size. How it is measured.
Compare Nanyang Technological University with
- vs
Imperial College London
- vs
The University of Melbourne
- vs
Tongji University
- vs
UNSW Sydney
- vs
University of Pennsylvania
- vs
University of California, San Francisco
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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