Hangzhou Dianzi University
In research, Hangzhou Dianzi University stands highest in Physical Sciences (#284 of 12,888 worldwide), Engineering (#192 of 6,636 worldwide) and Computer Science (#145 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Condensed Matter Physics — Computer Vision and Pattern Recognition is 5.9× its share of world research.
- World rank, 2022–2025
- #490 of 28,054 · #1,236 all time
- Rank in China
- #168 of 3,058
- Research works
- 21k ▲ 68% vs 2013–17
- Citations
- 199k 9.4 per fractional work
- Top-10% rate
- 18.6% record average 16.5%
- Open access
- 24% world 28%
What is Hangzhou Dianzi University 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 | #284 of 12,888 | 16.8% | 5,662 | #886 | |
| EngineeringField | #192 of 6,636 | 15.3% | 2,768 | #472 | |
| Computer ScienceField | #145 of 4,667 | 19.6% | 1,519 | #441 | |
| Materials ScienceField | #121 of 2,468 | 19.1% | 530 | #500 | |
| Computer Vision and Pattern RecognitionSubfield | #59 of 941 | 17.6% | 513 | #180 | |
| Electrical and Electronic EngineeringSubfield | #224 of 2,318 | 9.9% | 1,105 | #518 | |
| Aerospace EngineeringSubfield | #91 of 795 | 29.2% | 311 | #481 | |
| Social SciencesDomain | #1,218 of 10,521 | 31.2% | 673 | #2032 | |
| Control and Systems EngineeringSubfield | #95 of 793 | 14.8% | 293 | #183 | |
| Electronic, Optical and Magnetic MaterialsSubfield | #38 of 304 | 21.1% | 183 | #148 |
Each strip is that field’s whole ranked pool, with the notch where Hangzhou Dianzi 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 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#886 #284
- Engineering#472 #192
- Computer Science#441 #145
- Materials Science#500 #121
- Computer Vision and Pattern Recognition#180 #59
- Electrical and Electronic Engineering#518 #224
- Aerospace Engineering#481 #91
- Social Sciences#2,032 #1,218
- Control and Systems Engineering#183 #95
- Electronic, Optical and Magnetic Materials#148 #38
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Hangzhou Dianzi University specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 5.9× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 513.4 works5.9×
- Electronic, Optical and Magnetic MaterialsSubfield · 183.4 works5.8×
- Condensed Matter PhysicsSubfield · 51.8 works4.7×
- Signal ProcessingSubfield · 96.5 works4.6×
- Electrical and Electronic EngineeringSubfield · 1,104.8 works4.5×
- Computer Graphics and Computer-Aided DesignSubfield · 25.5 works4.5×
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, 2.8×. Every wedge is a field page.
- Computer Science 2.8×
- Engineering 2.7×
- Materials Science 2.2×
- Physics and Astronomy 2.2×
- Neuroscience 1.6×
- Energy 1.5×
- Mathematics 1.3×
- Decision Sciences 1.3×
- Chemical Engineering 1.0×
- Business, Management and Accounting 0.7×
- Economics, Econometrics and Finance 0.7×
- Chemistry 0.6×
- Earth and Planetary Sciences 0.6×
- Environmental Science 0.5×
- Psychology 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Social Sciences 0.2×
- Arts and Humanities 0.2×
- Dentistry 0.2×
- Medicine 0.2×
- Agricultural and Biological Sciences 0.1×
- Health Professions 0.1×
- Veterinary 0.1×
- Immunology and Microbiology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Nursing 0.1×
Who are the top researchers at Hangzhou Dianzi University?
Ranked on the composite score, Daqin Chen, Jun Yu and Chenggang Yan lead among researchers whose main affiliation is Hangzhou Dianzi University.
- 1 Daqin Chen · #31,463 worldwide 743 citations · 70 works
- 2 Jun Yu · #54,898 worldwide 954 citations · 102 works
- 3 Chenggang Yan · #69,852 worldwide 830 citations · 96 works
- 4 Weihua Hu · #94,795 worldwide 333 citations · 26 works
- 5 Tao Zhou · #116,637 worldwide 452 citations · 33 works
- 6 Shilian Zheng · #119,236 worldwide 149 citations · 30 works
- 7 Zhitong Yao · #119,650 worldwide 481 citations · 22 works
- 8 Fei Gao · #128,765 worldwide 235 citations · 31 works
- 9 Kaihua Wu · #153,648 worldwide 132 citations · 22 works
- 10 Wangfeng Bai · #154,033 worldwide 446 citations · 42 works
Which keywords describe research at Hangzhou Dianzi University?
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, Sparse Representation, Artificial Neural Networks, Integrated Circuits and Microwave Filters.
- Magnetic Nanoparticles
- Brain-Computer Interfaces
- Frequency Selective Surfaces
- Low-Noise Amplifiers
- Electronic Structure
- Representation Learning
- Millimeter-Wave
- Unsupervised Learning
- Nonlinear Systems
- Wavelet Transform
- Wireless Communications
- Substrate Integrated Waveguide
- Biosensors
- Integrated Circuits
- Energy Storage
- Nanocomposites
- Biomedical Applications
- Graphene
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Nanomaterials
- Artificial Neural Networks
- Energy Efficiency
- Sparse Representation
- Wireless Sensor Networks
- Feature Extraction
- Microwave Filters
- Image Processing
- Semiconductors
- Convolutional Networks
- CMOS
- Metamaterial
- Frequency Synthesizer
- Neural Network
- Multi-Agent Systems
- Oscillators
- Metasurfaces
- EEG Analysis
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 Learning977▲ 4.1×83 topics
- Neural Networks456▲ 4.3×36 topics
- Machine Learning430▲ 1.90×88 topics
- Convolutional Neural Networks205▲ 4.0×14 topics
- Nanomaterials142▲ 1.94×18 topics
- Graphene142▲ 3.0×11 topics
- Artificial Neural Networks140▲ 4.3×8 topics
- Biomedical Applications133▲ 1.62×33 topics
- Energy Efficiency128▲ 1.97×32 topics
- Nanocomposites118▲ 2.1×21 topics
- Sparse Representation113▲ 8.4×6 topics
- Energy Storage113▲ 2.5×12 topics
- Wireless Sensor Networks110▲ 3.5×22 topics
- Integrated Circuits105▲ 9.7×3 topics
- Feature Extraction102▲ 3.2×10 topics
- Biosensors98▲ 2.8×12 topics
- Microwave Filters98▲ 25×1 topic
- Substrate Integrated Waveguide98▲ 25×1 topic
- Image Processing96▲ 3.1×13 topics
- Wireless Communications94▲ 7.7×5 topics
- Semiconductors93▲ 4.4×5 topics
- Wavelet Transform87▲ 5.5×7 topics
- Convolutional Networks83▲ 8.6×3 topics
- Nonlinear Systems76▲ 5.2×8 topics
- CMOS74▲ 21×2 topics
- Unsupervised Learning74▲ 7.5×3 topics
- Metamaterial72▲ 11×2 topics
- Millimeter-Wave71▲ 27×2 topics
- Frequency Synthesizer70▲ 25×2 topics
- Representation Learning69▲ 7.2×3 topics
- Neural Network69▲ 5.2×9 topics
- Electronic Structure68▲ 5.4×7 topics
- Multi-Agent Systems67▲ 5.1×6 topics
- Low-Noise Amplifiers66▲ 33×1 topic
- Oscillators66▲ 33×1 topic
- Frequency Selective Surfaces66▲ 14×1 topic
- Metasurfaces66▲ 14×1 topic
- Brain-Computer Interfaces61▲ 9.1×1 topic
- EEG Analysis61▲ 9.1×1 topic
- Magnetic Nanoparticles59▲ 7.6×4 topics
Which research topics does Hangzhou Dianzi University publish most on?
By volume in 2022–2025: Microwave Engineering and Waveguides, Radio Frequency Integrated Circuit Design, Advanced Antenna and Metasurface Technologies and EEG and Brain-Computer Interfaces.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Microwave Engineering and WaveguidesElectrical and Electronic Engineering 98 works
- 2 Radio Frequency Integrated Circuit DesignElectrical and Electronic Engineering 66 works
- 3 Advanced Antenna and Metasurface TechnologiesAerospace Engineering 66 works
- 4 EEG and Brain-Computer InterfacesCognitive Neuroscience 61 works
- 5 Antenna Design and AnalysisAerospace Engineering 54 works
- 6 Advanced Neural Network ApplicationsComputer Vision and Pattern Recognition 54 works
- 7 Advanced Sensor and Energy Harvesting MaterialsBiomedical Engineering 46 works
- 8 Advanced Power Amplifier DesignElectrical and Electronic Engineering 43 works
- 9 Advanced Memory and Neural ComputingElectrical and Electronic Engineering 42 works
- 10 Anomaly Detection Techniques and ApplicationsArtificial Intelligence 42 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 Hangzhou Dianzi University's research output changed?
Output in 2018–2022 was 68% 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 Hangzhou
- Zhejiang University
- Zhejiang University of Technology
- Zhejiang Sci-Tech University
- China Jiliang University
- Hangzhou Normal University
- Zhejiang Chinese Medical University
- Zhejiang Gongshang University
- Second Affiliated Hospital of Zhejiang 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.