University Town of Shenzhen
In research, University Town of Shenzhen stands highest in Physical Sciences (#1,062 of 12,888 worldwide), Engineering (#555 of 6,636 worldwide) and Computer Science (#912 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering — Computer Vision and Pattern Recognition is 6.7× its share of world research.
- World rank, 2022–2025
- #1,493 of 28,054 · #2,582 all time
- Rank in China
- #438 of 3,058
- Research works
- 4.9k ▲ 5% vs 2013–17
- Citations
- 110k 22.5 per fractional work
- Top-10% rate
- 24.7% record average 16.5%
- Open access
- 25% world 28%
What is University Town of Shenzhen 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #1,062 of 12,888 | 23.2% | 1,128 | #1909 | |
| EngineeringField | #555 of 6,636 | 22.0% | 539 | #920 | |
| Computer ScienceField | #912 of 4,667 | 21.9% | 291 | #1599 | |
| Electrical and Electronic EngineeringSubfield | #495 of 2,318 | 19.3% | 180 | #552 | |
| Computer Vision and Pattern RecognitionSubfield | #292 of 941 | 20.6% | 120 | #577 | |
| Social SciencesDomain | #3,568 of 10,521 | 30.6% | 101 | #6625 | |
| Life SciencesDomain | #2,920 of 7,800 | 31.1% | 96 | #4863 | |
| Materials ScienceField | #956 of 2,468 | 29.9% | 74 | #1293 | |
| Biomedical EngineeringSubfield | #675 of 1,568 | 20.6% | 83 | #1024 | |
| Environmental ScienceField | #1,581 of 3,551 | 28.1% | 105 | #1967 |
Each strip is that field’s whole ranked pool, with the notch where University Town of Shenzhen 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.
- Physical Sciences#1,909 #1,062
- Engineering#920 #555
- Computer Science#1,599 #912
- Electrical and Electronic Engineering#552 #495
- Computer Vision and Pattern Recognition#577 #292
- Social Sciences#6,625 #3,568
- Life Sciences#4,863 #2,920
- Materials Science#1,293 #956
- Biomedical Engineering#1,024 #675
- Environmental Science#1,967 #1,581
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does University Town of Shenzhen specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 6.7× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 120.0 works6.7×
- Electrical and Electronic EngineeringSubfield · 179.8 works3.5×
- Industrial and Manufacturing EngineeringSubfield · 23.3 works3.2×
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, 2.6×. Every wedge is a field page.
- Computer Science 2.6×
- Engineering 2.5×
- Energy 2.0×
- Materials Science 1.5×
- Environmental Science 1.5×
- Chemical Engineering 1.3×
- Chemistry 1.2×
- Physics and Astronomy 1.1×
- Decision Sciences 1.0×
- Earth and Planetary Sciences 0.9×
- Neuroscience 0.8×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Psychology 0.5×
- Economics, Econometrics and Finance 0.4×
- Dentistry 0.4×
- Immunology and Microbiology 0.4×
- Business, Management and Accounting 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Medicine 0.3×
- Mathematics 0.3×
- Veterinary 0.2×
- Agricultural and Biological Sciences 0.2×
- Nursing 0.2×
- Social Sciences 0.2×
- Health Professions 0.2×
- Arts and Humanities 0.1×
Who are the top researchers at University Town of Shenzhen?
Ranked on the composite score, Sheng Zhang, Xinpeng Xing and Ruobing Zhang lead among researchers whose main affiliation is University Town of Shenzhen.
- 1 Sheng Zhang China · #855,157 worldwide 44 citations · 33 works
- 2 Xinpeng Xing China · #891,643 worldwide 23 citations · 24 works
- 3 Ruobing Zhang China · #1,001,322 worldwide 31 citations · 28 works
Which keywords describe research at University Town of Shenzhen?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Cathode Materials, Machine Learning, Convolutional Networks, Unsupervised Learning and Energy Storage.
- Visible Light Communication
- Semi-Supervised Learning
- Free-Space Optical Communication
- Solid-State Electrolytes
- Tool Wear
- Ionic Conductivity
- Nanostructured Anodes
- Multi-Agent Systems
- Channel Modeling
- Battery Technology
- Water Treatment
- Sparse Representation
- Rechargeable Batteries
- Unsupervised Learning
- Lithium-ion Batteries
- Convolutional Networks
- Nanomaterials
- Cathode Materials
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Biomedical Applications
- Energy Storage
- Renewable Energy
- Energy Efficiency
- Nanocomposites
- Image Processing
- Feature Extraction
- Water Splitting
- Depth Estimation
- Representation Learning
- Robotics
- Battery Materials
- Generative Adversarial Networks
- Lithium-Sulfur Batteries
- Nanostructured Cathodes
- Flexible Electronics
- Optical Flow
- Stereo Vision
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 Learning194▲ 4.0×78 topics
- Neural Networks94▲ 4.3×34 topics
- Machine Learning70▲ 1.51×67 topics
- Convolutional Neural Networks45▲ 4.3×14 topics
- Biomedical Applications35▲ 2.1×32 topics
- Cathode Materials34▲ 6.1×3 topics
- Energy Storage33▲ 3.6×12 topics
- Nanomaterials33▲ 2.2×17 topics
- Renewable Energy30▲ 1.47×33 topics
- Convolutional Networks27▲ 14×3 topics
- Energy Efficiency25▲ 1.84×24 topics
- Lithium-ion Batteries25▲ 4.1×3 topics
- Nanocomposites24▲ 2.1×20 topics
- Unsupervised Learning24▲ 12×3 topics
- Image Processing21▲ 3.3×11 topics
- Rechargeable Batteries21▲ 5.4×2 topics
- Feature Extraction19▲ 3.0×9 topics
- Sparse Representation19▲ 6.8×6 topics
- Water Splitting18▲ 3.4×4 topics
- Water Treatment18▲ 10×6 topics
- Depth Estimation18▲ 14×2 topics
- Battery Technology17▲ 4.3×3 topics
- Representation Learning17▲ 8.8×3 topics
- Channel Modeling17▲ 9.3×6 topics
- Robotics16▲ 4.5×7 topics
- Multi-Agent Systems15▲ 5.5×6 topics
- Battery Materials14▲ 6.1×1 topic
- Nanostructured Anodes14▲ 6.1×1 topic
- Generative Adversarial Networks14▲ 12×2 topics
- Ionic Conductivity14▲ 7.1×2 topics
- Lithium-Sulfur Batteries14▲ 6.7×2 topics
- Tool Wear14▲ 7.2×3 topics
- Nanostructured Cathodes14▲ 7.8×1 topic
- Solid-State Electrolytes14▲ 7.8×1 topic
- Flexible Electronics13▲ 5.5×3 topics
- Free-Space Optical Communication12▲ 29×1 topic
- Optical Flow12▲ 17×1 topic
- Semi-Supervised Learning12▲ 7.7×3 topics
- Stereo Vision12▲ 17×1 topic
- Visible Light Communication12▲ 29×1 topic
Which research topics does University Town of Shenzhen publish most on?
By volume in 2022–2025: Advancements in Battery Materials, Advanced Battery Materials and Technologies, Advanced Vision and Imaging and Optical Wireless Communication Technologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advancements in Battery Materials Electrical and Electronic Engineering 14 works
- 2 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 14 works
- 3 Advanced Vision and Imaging Computer Vision and Pattern Recognition 12 works
- 4 Optical Wireless Communication Technologies Electrical and Electronic Engineering 12 works
- 5 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 11 works
- 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 10 works
- 7 Topic Modeling Artificial Intelligence 10 works
- 8 Advanced oxidation water treatment Water Science and Technology 9 works
- 9 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 9 works
- 10 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 8 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 University Town of Shenzhen's research output changed?
Output in 2018–2022 was 5% 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 Shenzhen
- Shenzhen University
- Southern University of Science and Technology
- Shenzhen Institutes of Advanced Technology
- Chinese University of Hong Kong, Shenzhen
- Huawei Technologies (China)
- Shenzhen Polytechnic University
- Peng Cheng Laboratory
- Shenzhen Technology University
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.