- World rank, 2022–2025
- #9,031 of 28,054 · #17,992 all time
- Rank in China
- #1,714 of 3,058
- Research works
- 317 ▲ 76% vs 2013–17
- Citations
- 4.4k 13.7 per fractional work
- Top-10% rate
- 23.8% record average 16.5%
- Open access
- 26% world 28%
What is National Supercomputing Center in 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 | #5,778 of 12,888 | 19.1% | 82 | #11226 |
Each strip is that field’s whole ranked pool, with the notch where National Supercomputing Center in 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).
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: Chemical Engineering, 6.2×. Every wedge is a field page.
- Chemical Engineering 6.2×
- Earth and Planetary Sciences 3.7×
- Computer Science 2.5×
- Chemistry 2.2×
- Materials Science 2.1×
- Engineering 2.0×
- Energy 2.0×
- Mathematics 1.8×
- Economics, Econometrics and Finance 1.3×
- Physics and Astronomy 1.1×
- Environmental Science 1.1×
- Decision Sciences 1.0×
- Business, Management and Accounting 0.8×
- Biochemistry, Genetics and Molecular Biology 0.7×
- Neuroscience 0.4×
- Medicine 0.2×
- Psychology 0.2×
- Agricultural and Biological Sciences 0.2×
- Social Sciences 0.2×
- Health Professions 0.1×
- Immunology and Microbiology 0.1×
Who are the top researchers at National Supercomputing Center in Shenzhen?
Ranked on the composite score, Zheng Du lead among researchers whose main affiliation is National Supercomputing Center in Shenzhen.
- 1 Zheng Du China · #1,340,327 worldwide 51 citations · 16 works
Which keywords describe research at National Supercomputing Center in Shenzhen?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Catalysis, Sparse Representation, Wavelet Transform, Molecular Dynamics and Renewable Energy.
- Signal Processing
- Hydrogen Storage
- Compressed Sensing
- Sustainable Technology
- Methane Storage
- Convolutional Neural Network
- Vibration Analysis
- Urbanization
- Short-Term Forecasting
- Graph Convolutional Networks
- Convex Optimization
- Intelligent Transportation Systems
- Lithium-ion Batteries
- CO2 Capture
- Energy Storage
- Molecular Dynamics
- Wavelet Transform
- Convolutional Neural Networks
- Catalysis
- Machine Learning
- Deep Learning
- Neural Networks
- Renewable Energy
- Sparse Representation
- Internet of Things
- Artificial Neural Networks
- Hyperspectral Imaging
- Cathode Materials
- Probabilistic Forecasting
- Traffic Flow
- Metal-Organic Frameworks
- Inverse Problems
- Time Series Analysis
- Energy Consumption
- CO2 Emissions
- Environmental Regulation
- Spatio-Temporal Data
- Urban Traffic
- Crystal Engineering
- Signal Recovery
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 Learning14▲ 3.9×48 topics
- Machine Learning9▲ 2.8×37 topics
- Neural Networks8▲ 5.1×21 topics
- Catalysis4▲ 6.1×11 topics
- Renewable Energy4▲ 2.7×13 topics
- Convolutional Neural Networks3▲ 3.9×8 topics
- Sparse Representation3▲ 15×4 topics
- Wavelet Transform3▲ 11×4 topics
- Internet of Things3▲ 3.0×11 topics
- Molecular Dynamics3▲ 15×4 topics
- Artificial Neural Networks2▲ 4.6×6 topics
- Energy Storage2▲ 3.5×6 topics
- Hyperspectral Imaging2▲ 7.9×6 topics
- CO2 Capture2▲ 13×3 topics
- Cathode Materials2▲ 5.2×3 topics
- Lithium-ion Batteries2▲ 4.7×3 topics
- Probabilistic Forecasting2▲ 10×3 topics
- Intelligent Transportation Systems2▲ 12×2 topics
- Traffic Flow2▲ 17×2 topics
- Convex Optimization2▲ 22×3 topics
- Metal-Organic Frameworks2▲ 4.3×4 topics
- Graph Convolutional Networks2▲ 15×2 topics
- Inverse Problems2▲ 16×3 topics
- Short-Term Forecasting2▲ 12×2 topics
- Time Series Analysis2▲ 9.7×2 topics
- Urbanization2▲ 4.1×2 topics
- Energy Consumption2▲ 7.0×2 topics
- Vibration Analysis2▲ 6.0×5 topics
- CO2 Emissions2▲ 8.1×1 topic
- Convolutional Neural Network2▲ 9.1×4 topics
- Environmental Regulation2▲ 10×1 topic
- Methane Storage2▲ 11×2 topics
- Spatio-Temporal Data2▲ 23×1 topic
- Sustainable Technology2▲ 13×2 topics
- Urban Traffic2▲ 12×1 topic
- Compressed Sensing1▲ 58×1 topic
- Crystal Engineering1▲ 12×3 topics
- Hydrogen Storage1▲ 12×3 topics
- Signal Recovery1▲ 58×1 topic
- Signal Processing1▲ 9.1×4 topics
Which research topics does National Supercomputing Center in Shenzhen publish most on?
By volume in 2022–2025: Energy, Environment, Economic Growth, Traffic Prediction and Management Techniques, Sparse and Compressive Sensing Techniques and Image and Signal Denoising Methods.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Energy, Environment, Economic Growth Economics and Econometrics 2 works
- 2 Traffic Prediction and Management Techniques Building and Construction 2 works
- 3 Sparse and Compressive Sensing Techniques Computational Mechanics 2 works
- 4 Image and Signal Denoising Methods Computer Vision and Pattern Recognition 1 works
- 5 Machine Learning in Materials Science Materials Chemistry 1 works
- 6 Seismic Imaging and Inversion Techniques Geophysics 1 works
- 7 Computational Drug Discovery Methods Computational Theory and Mathematics 1 works
- 8 Advancements in Battery Materials Electrical and Electronic Engineering 1 works
- 9 Metal-Organic Frameworks: Synthesis and Applications Inorganic Chemistry 1 works
- 10 BIM and Construction Integration Building and Construction 1 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 National Supercomputing Center in Shenzhen's research output changed?
Output in 2018–2022 was 76% 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
- University Town of Shenzhen
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.