Singapore University of Technology and Design
In research, Singapore University of Technology and Design stands highest in Engineering (#283 of 6,636 worldwide), Physical Sciences (#566 of 12,888 worldwide) and Computer Science (#247 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition — Computer Networks and Communications is 6.8× its share of world research.
- World rank, 2022–2025
- #956 of 28,054 · #1,515 all time
- Rank in Singapore
- #4 of 84
- Research works
- 5.7k ▲ 54% vs 2013–17
- Citations
- 145k 25.4 per fractional work
- Top-10% rate
- 30.3% record average 16.5%
- Open access
- 40% world 28%
What is Singapore University of Technology and Design 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 |
|---|---|---|---|---|---|
| EngineeringField | #283 of 6,636 | 29.5% | 694 | #604 | |
| Physical SciencesDomain | #566 of 12,888 | 30.8% | 1,544 | #1070 | |
| Computer ScienceField | #247 of 4,667 | 34.0% | 562 | #456 | |
| Computer Networks and CommunicationsSubfield | #66 of 705 | 32.7% | 115 | #202 | |
| Artificial IntelligenceSubfield | #231 of 1,884 | 34.8% | 208 | #272 | |
| Electrical and Electronic EngineeringSubfield | #309 of 2,318 | 29.1% | 229 | #432 | |
| Computer Vision and Pattern RecognitionSubfield | #167 of 941 | 35.6% | 106 | #375 | |
| Aerospace EngineeringSubfield | #149 of 795 | 51.3% | 84 | #728 | |
| Social SciencesDomain | #2,730 of 10,521 | 28.9% | 238 | #3084 | |
| Physics and AstronomyField | #438 of 1,646 | 29.9% | 80 | #939 |
Each strip is that field’s whole ranked pool, with the notch where Singapore University of Technology and Design 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.
- Engineering#604 #283
- Physical Sciences#1,070 #566
- Computer Science#456 #247
- Computer Networks and Communications#202 #66
- Artificial Intelligence#272 #231
- Electrical and Electronic Engineering#432 #309
- Computer Vision and Pattern Recognition#375 #167
- Aerospace Engineering#728 #149
- Social Sciences#3,084 #2,730
- Physics and Astronomy#939 #438
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Singapore University of Technology and Design specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 6.8× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 115.1 works6.8×
- Artificial IntelligenceSubfield · 207.8 works4.5×
- Computer Vision and Pattern RecognitionSubfield · 106.4 works4.4×
- Signal ProcessingSubfield · 25.2 works4.3×
- Computer ScienceField · 562.5 works3.8×
- Aerospace EngineeringSubfield · 84.4 works3.8×
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, 3.8×. Every wedge is a field page.
- Computer Science 3.8×
- Engineering 2.4×
- Physics and Astronomy 1.9×
- Decision Sciences 1.7×
- Materials Science 1.6×
- Neuroscience 0.7×
- Psychology 0.7×
- Energy 0.7×
- Chemistry 0.6×
- Chemical Engineering 0.5×
- Business, Management and Accounting 0.5×
- Economics, Econometrics and Finance 0.5×
- Environmental Science 0.4×
- Mathematics 0.4×
- Social Sciences 0.4×
- Earth and Planetary Sciences 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Health Professions 0.3×
- Veterinary 0.3×
- Arts and Humanities 0.2×
- Medicine 0.1×
- Agricultural and Biological Sciences 0.1×
- Nursing 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Immunology and Microbiology 0.1×
- Dentistry 0.0×
Who are the top researchers at Singapore University of Technology and Design?
Ranked on the composite score, Howard H. Yang, Soujanya Poria and Wei Lu lead among researchers whose main affiliation is Singapore University of Technology and Design.
- 1 Howard H. Yang Singapore · #8,589 worldwide 1.3k citations · 77 works
- 2 Soujanya Poria Singapore · #17,300 worldwide 1.1k citations · 79 works
- 3 Wei Lu Singapore · #19,493 worldwide 954 citations · 56 works
- 4 Zehui Xiong Singapore · #28,602 worldwide 1.4k citations · 212 works
- 5 Jun Liu Singapore · #45,468 worldwide 1.5k citations · 152 works
- 6 Kristin L. Wood Singapore · #47,184 worldwide 603 citations · 88 works
- 7 Wayes Tushar Singapore · #58,507 worldwide 442 citations · 42 works
- 8 Wenchao Jiang Singapore · #71,210 worldwide 553 citations · 58 works
- 9 Lingjie Duan Singapore · #81,911 worldwide 542 citations · 70 works
- 10 David K. Y. Yau Singapore · #134,622 worldwide 440 citations · 81 works
Which keywords describe research at Singapore University of Technology and Design?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Security, Security and Privacy, Energy Efficiency, Wireless Communications and Multi-Agent Systems.
- Word Representation
- Distributed Control
- Optimal Motion Planning
- Differential Privacy
- Topic Modeling
- MIMO Systems
- Creativity
- Autonomous Vehicles
- Path Planning
- Collision Avoidance
- Channel Estimation
- Two-Dimensional Materials
- Cathode Materials
- Privacy
- Multi-Agent Systems
- Wireless Communications
- Energy Storage
- Internet of Things
- Security
- Machine Learning
- Deep Learning
- Neural Networks
- Energy Efficiency
- Healthcare
- Security and Privacy
- Data Mining
- Mobile Edge Computing
- IoT Security
- Wireless Sensor Networks
- 5G Networks
- Wireless Networks
- Wireless Communication
- Self-Assembly
- Robotics
- Information Retrieval
- Text Classification
- Mobile Robots
- Federated Learning
- Sampling-Based Algorithms
- Semantic Similarity
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 Learning231▲ 3.5×74 topics
- Machine Learning145▲ 2.3×73 topics
- Neural Networks116▲ 4.0×33 topics
- Security63▲ 5.1×17 topics
- Energy Efficiency60▲ 3.4×20 topics
- Internet of Things54▲ 3.2×15 topics
- Healthcare47▲ 2.2×15 topics
- Energy Storage42▲ 3.4×9 topics
- Security and Privacy41▲ 11×3 topics
- Wireless Communications40▲ 12×5 topics
- Data Mining38▲ 2.7×8 topics
- Multi-Agent Systems38▲ 10×5 topics
- Mobile Edge Computing38▲ 12×2 topics
- Privacy38▲ 6.7×6 topics
- IoT Security37▲ 6.0×3 topics
- Cathode Materials36▲ 4.8×3 topics
- Wireless Sensor Networks36▲ 4.2×14 topics
- Two-Dimensional Materials35▲ 7.9×4 topics
- 5G Networks34▲ 8.7×5 topics
- Channel Estimation32▲ 20×4 topics
- Wireless Networks32▲ 11×9 topics
- Collision Avoidance30▲ 8.5×4 topics
- Wireless Communication29▲ 10×7 topics
- Path Planning29▲ 12×3 topics
- Self-Assembly28▲ 4.6×10 topics
- Autonomous Vehicles28▲ 7.0×3 topics
- Robotics27▲ 5.8×5 topics
- Creativity26▲ 23×2 topics
- Information Retrieval25▲ 6.1×3 topics
- MIMO Systems25▲ 16×3 topics
- Text Classification24▲ 8.1×3 topics
- Topic Modeling24▲ 8.6×3 topics
- Mobile Robots23▲ 12×3 topics
- Differential Privacy23▲ 17×1 topic
- Federated Learning23▲ 17×1 topic
- Optimal Motion Planning23▲ 16×1 topic
- Sampling-Based Algorithms23▲ 16×1 topic
- Distributed Control23▲ 11×2 topics
- Semantic Similarity22▲ 9.4×1 topic
- Word Representation22▲ 9.4×1 topic
Which research topics does Singapore University of Technology and Design publish most on?
By volume in 2022–2025: Privacy-Preserving Technologies in Data, Robotic Path Planning Algorithms, Topic Modeling and Modular Robots and Swarm Intelligence.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Privacy-Preserving Technologies in Data Artificial Intelligence 23 works
- 2 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 23 works
- 3 Topic Modeling Artificial Intelligence 22 works
- 4 Modular Robots and Swarm Intelligence Mechanical Engineering 22 works
- 5 Advanced Wireless Communication Technologies Electrical and Electronic Engineering 21 works
- 6 Design Education and Practice Mechanical Engineering 20 works
- 7 Blockchain Technology Applications and Security Information Systems 20 works
- 8 UAV Applications and Optimization Aerospace Engineering 19 works
- 9 Robotics and Sensor-Based Localization Aerospace Engineering 19 works
- 10 IoT and Edge/Fog Computing Computer Networks and Communications 18 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 Singapore University of Technology and Design's research output changed?
Output in 2018–2022 was 54% 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 Singapore
- National University of Singapore
- Nanyang Technological University
- Agency for Science, Technology and Research
- Singapore General Hospital
- Singapore Management University
- National University Hospital
- Institute for Infocomm Research
- 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.