Shenzhen Institute of Information Technology
In research, Shenzhen Institute of Information Technology stands highest in Physical Sciences (#950 of 12,888 worldwide), Engineering (#613 of 6,636 worldwide) and Computer Science (#808 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Aerospace Engineering and Electronic, Optical and Magnetic Materials — Computer Vision and Pattern Recognition is 5.1× its share of world research.
- World rank, 2022–2025
- #1,480 of 28,054 · #3,623 all time
- Rank in China
- #436 of 3,058
- Research works
- 4.3k ▲ 61% vs 2013–17
- Citations
- 51k 11.9 per fractional work
- Top-10% rate
- 24.2% record average 16.5%
- Open access
- 26% world 28%
What is Shenzhen Institute of Information 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #950 of 12,888 | 23.1% | 1,292 | #2502 | |
| EngineeringField | #613 of 6,636 | 22.8% | 607 | #1759 | |
| Computer ScienceField | #808 of 4,667 | 23.3% | 340 | #1189 | |
| Electrical and Electronic EngineeringSubfield | #560 of 2,318 | 19.0% | 185 | #1425 | |
| Materials ScienceField | #724 of 2,468 | 23.3% | 136 | #2290 | |
| Social SciencesDomain | #3,616 of 10,521 | 28.2% | 149 | #7099 | |
| Artificial IntelligenceSubfield | #662 of 1,884 | 25.8% | 114 | #1004 | |
| Materials ChemistrySubfield | #635 of 1,556 | 24.8% | 83 | #1987 | |
| Computer Vision and Pattern RecognitionSubfield | #386 of 941 | 21.6% | 102 | #682 | |
| Mechanical EngineeringSubfield | #555 of 1,351 | 27.2% | 66 | #1648 |
Each strip is that field’s whole ranked pool, with the notch where Shenzhen Institute of Information 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.
- Physical Sciences#2,502 #950
- Engineering#1,759 #613
- Computer Science#1,189 #808
- Electrical and Electronic Engineering#1,425 #560
- Materials Science#2,290 #724
- Social Sciences#7,099 #3,616
- Artificial Intelligence#1,004 #662
- Materials Chemistry#1,987 #635
- Computer Vision and Pattern Recognition#682 #386
- Mechanical Engineering#1,648 #555
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Shenzhen Institute of Information Technology specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 5.1× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 101.7 works5.1×
- Aerospace EngineeringSubfield · 66.9 works3.6×
- Electronic, Optical and Magnetic MaterialsSubfield · 24.5 works3.4×
- Electrical and Electronic EngineeringSubfield · 184.9 works3.3×
- Computer Networks and CommunicationsSubfield · 43.9 works3.1×
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 2.6×
- Materials Science 2.5×
- Energy 2.4×
- Chemical Engineering 1.7×
- Physics and Astronomy 1.3×
- Chemistry 1.2×
- Economics, Econometrics and Finance 0.9×
- Decision Sciences 0.8×
- Environmental Science 0.8×
- Neuroscience 0.7×
- Earth and Planetary Sciences 0.6×
- Business, Management and Accounting 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Mathematics 0.5×
- Psychology 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Social Sciences 0.3×
- Medicine 0.2×
- Immunology and Microbiology 0.2×
- Health Professions 0.2×
- Arts and Humanities 0.1×
- Agricultural and Biological Sciences 0.1×
- Dentistry 0.1×
- Nursing 0.1×
Who are the top researchers at Shenzhen Institute of Information Technology?
Ranked on the composite score, Xuehua Zhao, Xu Tan and Ting Li lead among researchers whose main affiliation is Shenzhen Institute of Information Technology.
- 1 Xuehua Zhao China · #233,929 worldwide 234 citations · 36 works
- 2 Xu Tan China · #282,060 worldwide 118 citations · 20 works
- 3 Ting Li China · #493,426 worldwide 68 citations · 19 works
- 4 Yongsheng Liang China · #520,882 worldwide 125 citations · 35 works
- 5 Hui Wang China · #615,445 worldwide 15 citations · 17 works
- 6 Tao He China · #674,053 worldwide 55 citations · 38 works
- 7 Xinzhong Wang China · #941,007 worldwide 112 citations · 26 works
- 8 Guangwu Hu China · #994,540 worldwide 86 citations · 21 works
- 9 Qin Li China · #1,153,402 worldwide 70 citations · 38 works
- 10 Huazhong Li China · #1,276,421 worldwide 29 citations · 20 works
Which keywords describe research at Shenzhen Institute of Information Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Mechanical Properties, Nanomaterials, Microstructure, Convolutional Neural Networks and Graphene.
- Heterogeneous Networks
- Wireless Networks
- Visible Light
- Feature Selection
- Electrocatalysis
- Anomaly Detection
- Support Vector Machines
- Nanostructures
- Classification
- Sparse Representation
- Metal-Organic Frameworks
- Biosensors
- Water Splitting
- Data Mining
- Internet of Things
- Microstructure
- Graphene
- Biomedical Applications
- Mechanical Properties
- Machine Learning
- Deep Learning
- Neural Networks
- Nanomaterials
- Convolutional Neural Networks
- Nanoparticles
- Energy Efficiency
- Energy Storage
- Nanocomposites
- Cathode Materials
- Semiconductor
- Semiconductors
- Wireless Sensor Networks
- IoT Security
- Thermal Management
- Rechargeable Batteries
- Chemical Sensors
- Wireless Communications
- Security and Privacy
- Energy Harvesting
- Representation Learning
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 Learning201▲ 3.7×83 topics
- Machine Learning113▲ 2.2×81 topics
- Neural Networks85▲ 3.5×35 topics
- Mechanical Properties52▲ 3.4×32 topics
- Nanomaterials50▲ 3.0×17 topics
- Biomedical Applications42▲ 2.2×31 topics
- Convolutional Neural Networks41▲ 3.5×14 topics
- Graphene40▲ 3.7×11 topics
- Nanoparticles39▲ 1.94×36 topics
- Microstructure36▲ 4.4×16 topics
- Energy Efficiency34▲ 2.3×28 topics
- Internet of Things33▲ 2.4×26 topics
- Energy Storage32▲ 3.1×10 topics
- Data Mining29▲ 2.4×16 topics
- Nanocomposites28▲ 2.2×21 topics
- Water Splitting26▲ 4.6×4 topics
- Cathode Materials25▲ 4.0×3 topics
- Biosensors23▲ 2.9×12 topics
- Semiconductor23▲ 4.3×7 topics
- Metal-Organic Frameworks22▲ 3.4×6 topics
- Semiconductors22▲ 4.5×4 topics
- Sparse Representation22▲ 7.2×6 topics
- Wireless Sensor Networks21▲ 2.9×16 topics
- Classification20▲ 2.8×11 topics
- IoT Security20▲ 3.9×3 topics
- Nanostructures20▲ 3.1×13 topics
- Thermal Management18▲ 3.5×7 topics
- Support Vector Machines18▲ 3.5×8 topics
- Rechargeable Batteries18▲ 4.1×2 topics
- Anomaly Detection18▲ 3.8×5 topics
- Chemical Sensors17▲ 4.6×3 topics
- Electrocatalysis17▲ 3.8×5 topics
- Wireless Communications17▲ 6.0×5 topics
- Feature Selection16▲ 4.6×6 topics
- Security and Privacy16▲ 5.3×3 topics
- Visible Light16▲ 4.3×3 topics
- Energy Harvesting15▲ 5.2×3 topics
- Wireless Networks14▲ 5.8×9 topics
- Representation Learning14▲ 6.3×3 topics
- Heterogeneous Networks13▲ 8.3×2 topics
Which research topics does Shenzhen Institute of Information Technology publish most on?
By volume in 2022–2025: Advanced Photocatalysis Techniques, Electrocatalysts for Energy Conversion, Advanced Sensor and Energy Harvesting Materials and Advancements in Battery Materials.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Photocatalysis Techniques Renewable Energy, Sustainability and the Environment 14 works
- 2 Electrocatalysts for Energy Conversion Renewable Energy, Sustainability and the Environment 11 works
- 3 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 10 works
- 4 Advancements in Battery Materials Electrical and Electronic Engineering 9 works
- 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 9 works
- 6 Advanced battery technologies research Electrical and Electronic Engineering 8 works
- 7 Network Security and Intrusion Detection Computer Networks and Communications 8 works
- 8 Advanced Battery Technologies Research Automotive Engineering 8 works
- 9 Anomaly Detection Techniques and Applications Artificial Intelligence 8 works
- 10 Advanced Image and Video Retrieval 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 Shenzhen Institute of Information Technology's research output changed?
Output in 2018–2022 was 61% 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.