Hong Kong University of Science and Technology
In research, Hong Kong University of Science and Technology stands highest in Computer Science (#11 of 4,667 worldwide), Physical Sciences (#55 of 12,888 worldwide) and Engineering (#62 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Software and Condensed Matter Physics — Hardware and Architecture is 5.7× its share of world research.
- World rank, 2022–2025
- #94 of 28,054 · #249 all time
- Rank in Hong Kong
- #5 of 21
- Research works
- 38k ▲ 13% vs 2013–17
- Citations
- 1.4M 36.7 per fractional work
- Top-10% rate
- 30.7% record average 16.5%
- Open access
- 27% world 28%
What is Hong Kong University of Science and Technology 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 | #11 of 4,667 | 33.0% | 1,808 | #53 | |
| Physical SciencesDomain | #55 of 12,888 | 31.2% | 5,990 | #176 | |
| EngineeringField | #62 of 6,636 | 30.5% | 2,328 | #98 | |
| Artificial IntelligenceSubfield | #20 of 1,884 | 33.9% | 683 | #58 | |
| Computer Vision and Pattern RecognitionSubfield | #16 of 941 | 36.4% | 451 | #40 | |
| Electrical and Electronic EngineeringSubfield | #60 of 2,318 | 26.2% | 741 | #66 | |
| Physics and AstronomyField | #64 of 1,646 | 27.5% | 338 | #272 | |
| Social SciencesDomain | #442 of 10,521 | 29.7% | 1,150 | #371 | |
| Environmental ScienceField | #162 of 3,551 | 36.3% | 443 | #225 | |
| Information SystemsSubfield | #73 of 1,291 | 41.5% | 129 | #44 |
Each strip is that field’s whole ranked pool, with the notch where Hong Kong University of Science and Technology 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#53 #11
- Physical Sciences#176 #55
- Engineering#98 #62
- Artificial Intelligence#58 #20
- Computer Vision and Pattern Recognition#40 #16
- Electrical and Electronic Engineering#66 #60
- Physics and Astronomy#272 #64
- Social Sciences#371 #442
- Environmental Science#225 #162
- Information Systems#44 #73
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Hong Kong University of Science and Technology specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 5.7× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 50.9 works5.7×
- SoftwareSubfield · 28.3 works5.5×
- Condensed Matter PhysicsSubfield · 58.8 works4.6×
- Computer Vision and Pattern RecognitionSubfield · 451.4 works4.5×
- Computer Graphics and Computer-Aided DesignSubfield · 27.2 works4.1×
- Human-Computer InteractionSubfield · 58.7 works3.6×
- Artificial IntelligenceSubfield · 683.3 works3.5×
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, 2.9×. Every wedge is a field page.
- Computer Science 2.9×
- Engineering 1.9×
- Physics and Astronomy 1.9×
- Materials Science 1.6×
- Chemistry 1.6×
- Decision Sciences 1.6×
- Earth and Planetary Sciences 1.5×
- Energy 1.4×
- Economics, Econometrics and Finance 1.1×
- Environmental Science 1.1×
- Chemical Engineering 1.1×
- Mathematics 1.1×
- Neuroscience 0.9×
- Business, Management and Accounting 0.8×
- Biochemistry, Genetics and Molecular Biology 0.7×
- Psychology 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Social Sciences 0.4×
- Arts and Humanities 0.4×
- Immunology and Microbiology 0.3×
- Health Professions 0.2×
- Medicine 0.2×
- Agricultural and Biological Sciences 0.2×
- Nursing 0.1×
- Dentistry 0.1×
- Veterinary 0.0×
Who are the top researchers at Hong Kong University of Science and Technology?
Ranked on the composite score, Dit‐Yan Yeung, Ross Murch and Lionel M. Ni lead among researchers whose main affiliation is Hong Kong University of Science and Technology.
- 1 Dit‐Yan Yeung Hong Kong · #2,623 worldwide 3.5k citations · 71 works
- 2 Ross Murch Hong Kong · #3,598 worldwide 1.8k citations · 139 works
- 3 Lionel M. Ni Hong Kong · #3,673 worldwide 2.4k citations · 149 works
- 4 He Yan Hong Kong · #4,395 worldwide 1.8k citations · 94 works
- 5 Alvin Y. So Hong Kong · #4,480 worldwide 586 citations · 73 works
- 6 Jacky W. Y. Lam Hong Kong · #6,351 worldwide 3.4k citations · 216 works
- 7 Daniel P. Palomar Hong Kong · #6,407 worldwide 1.7k citations · 122 works
- 8 Kai Chen Hong Kong · #7,992 worldwide 2.2k citations · 176 works
- 9 Pascale Fung Hong Kong · #8,521 worldwide 1.4k citations · 132 works
- 10 Dimitris Papadias Hong Kong · #9,501 worldwide 1.2k citations · 64 works
Which keywords describe research at Hong Kong University of Science and Technology?
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, Representation Learning, Unsupervised Learning, Semi-Supervised Learning and Energy Efficiency.
- Depth Estimation
- Nanowires
- Turbulent Flow
- Federated Learning
- Graph Convolutional Networks
- Semantic Similarity
- Crystal Growth
- Text Classification
- Light-Emitting Diodes
- Large-Eddy Simulation
- Artificial Neural Networks
- Unsupervised Learning
- Representation Learning
- Security
- Big Data
- Data Mining
- Biomedical Applications
- Energy Efficiency
- Climate Change
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Remote Sensing
- Nanoparticles
- Nanomaterials
- Energy Storage
- Semiconductors
- Biosensors
- Cathode Materials
- Semi-Supervised Learning
- Information Retrieval
- Topic Modeling
- Convolutional Networks
- Machine Translation
- Word Representation
- Differential Privacy
- Image Classification
- Heterogeneous Networks
- Convex Optimization
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 Learning854▲ 3.1×81 topics
- Machine Learning510▲ 1.95×87 topics
- Neural Networks475▲ 3.9×38 topics
- Climate Change187◆ 0.87×82 topics
- Convolutional Neural Networks170▲ 2.9×14 topics
- Energy Efficiency156▲ 2.1×31 topics
- Remote Sensing147▲ 1.49×32 topics
- Biomedical Applications134▲ 1.42×33 topics
- Nanoparticles130▲ 1.29×41 topics
- Data Mining122▲ 2.1×18 topics
- Nanomaterials116▲ 1.38×19 topics
- Big Data110▲ 1.51×25 topics
- Energy Storage100▲ 1.91×12 topics
- Security99▲ 1.91×22 topics
- Semiconductors99▲ 4.1×5 topics
- Representation Learning97▲ 8.8×3 topics
- Biosensors94▲ 2.3×12 topics
- Unsupervised Learning93▲ 8.2×3 topics
- Cathode Materials92▲ 2.9×3 topics
- Artificial Neural Networks92▲ 2.4×10 topics
- Semi-Supervised Learning82▲ 9.2×3 topics
- Large-Eddy Simulation79▲ 5.1×5 topics
- Information Retrieval77▲ 4.4×6 topics
- Light-Emitting Diodes74▲ 5.9×3 topics
- Topic Modeling74▲ 6.2×3 topics
- Text Classification72▲ 5.7×3 topics
- Convolutional Networks71▲ 6.4×3 topics
- Crystal Growth70▲ 3.1×12 topics
- Machine Translation68▲ 5.1×2 topics
- Semantic Similarity66▲ 6.8×1 topic
- Word Representation66▲ 6.8×1 topic
- Graph Convolutional Networks64▲ 7.3×2 topics
- Differential Privacy62▲ 11×1 topic
- Federated Learning62▲ 11×1 topic
- Image Classification61▲ 4.5×3 topics
- Turbulent Flow61▲ 6.4×4 topics
- Heterogeneous Networks58▲ 7.6×2 topics
- Nanowires58▲ 5.0×5 topics
- Convex Optimization51▲ 8.0×5 topics
- Depth Estimation47▲ 6.9×2 topics
Which research topics does Hong Kong University of Science and Technology publish most on?
By volume in 2022–2025: Topic Modeling, Privacy-Preserving Technologies in Data, Advanced Neural Network Applications and Perovskite Materials and Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 66 works
- 2 Privacy-Preserving Technologies in Data Artificial Intelligence 62 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 52 works
- 4 Perovskite Materials and Applications Electrical and Electronic Engineering 46 works
- 5 Natural Language Processing Techniques Artificial Intelligence 42 works
- 6 Advanced Graph Neural Networks Artificial Intelligence 41 works
- 7 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 39 works
- 8 Robotics and Sensor-Based Localization Aerospace Engineering 37 works
- 9 Advanced Vision and Imaging Computer Vision and Pattern Recognition 37 works
- 10 Transportation and Mobility Innovations Automotive Engineering 35 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 Hong Kong University of Science and Technology's research output changed?
Output in 2018–2022 was 13% 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 Hong Kong
- Hong Kong Polytechnic University
- Chinese University of Hong Kong
- City University of Hong Kong
- Hong Kong Baptist University
- Queen Mary Hospital
- Hong Kong Metropolitan University
- Queen Elizabeth Hospital
- Integrated Chinese Medicine (China)
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.