Shenzhen Institutes of Advanced Technology
In research, Shenzhen Institutes of Advanced Technology stands highest in Physical Sciences (#408 of 12,888 worldwide), Engineering (#218 of 6,636 worldwide) and Life Sciences (#335 of 7,800 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Biomedical Engineering and Cellular and Molecular Neuroscience — Computer Vision and Pattern Recognition is 4.7× its share of world research.
- World rank, 2022–2025
- #414 of 28,054 · #1,265 all time
- Rank in China
- #146 of 3,058
- Research works
- 7.4k ▲ 104% vs 2013–17
- Citations
- 215k 29.0 per fractional work
- Top-10% rate
- 27.7% record average 16.5%
- Open access
- 35% world 28%
What is Shenzhen Institutes of Advanced 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 | #408 of 12,888 | 25.8% | 2,002 | #1160 | |
| EngineeringField | #218 of 6,636 | 24.5% | 947 | #753 | |
| Life SciencesDomain | #335 of 7,800 | 31.3% | 551 | #1158 | |
| Electrical and Electronic EngineeringSubfield | #130 of 2,318 | 29.2% | 290 | #481 | |
| Computer ScienceField | #278 of 4,667 | 26.9% | 484 | #439 | |
| Biomedical EngineeringSubfield | #139 of 1,568 | 20.9% | 299 | #361 | |
| MedicineField | #1,031 of 10,443 | 31.1% | 451 | #2583 | |
| Health SciencesDomain | #1,349 of 11,982 | 31.0% | 476 | #2908 | |
| NeuroscienceField | #132 of 1,168 | 30.5% | 170 | #723 | |
| Biochemistry, Genetics and Molecular BiologyField | #451 of 3,579 | 30.2% | 302 | #1401 |
Each strip is that field’s whole ranked pool, with the notch where Shenzhen Institutes of Advanced 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#1,160 #408
- Engineering#753 #218
- Life Sciences#1,158 #335
- Electrical and Electronic Engineering#481 #130
- Computer Science#439 #278
- Biomedical Engineering#361 #139
- Medicine#2,583 #1,031
- Health Sciences#2,908 #1,349
- Neuroscience#723 #132
- Biochemistry, Genetics and Molecular Biology#1,401 #451
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Shenzhen Institutes of Advanced Technology specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 4.7× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 183.8 works4.7×
- Biomedical EngineeringSubfield · 299.4 works4.6×
- Cellular and Molecular NeuroscienceSubfield · 42.5 works4.4×
- Radiology, Nuclear Medicine and ImagingSubfield · 119.7 works4.3×
- Cognitive NeuroscienceSubfield · 78.2 works3.5×
- NeuroscienceField · 170.1 works3.4×
- NeurologySubfield · 28.6 works3.3×
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: Neuroscience, 3.4×. Every wedge is a field page.
- Neuroscience 3.4×
- Materials Science 2.7×
- Engineering 2.0×
- Computer Science 2.0×
- Biochemistry, Genetics and Molecular Biology 1.8×
- Energy 1.6×
- Immunology and Microbiology 1.3×
- Chemical Engineering 1.3×
- Chemistry 1.0×
- Physics and Astronomy 1.0×
- Medicine 0.8×
- Pharmacology, Toxicology and Pharmaceutics 0.7×
- Environmental Science 0.5×
- Earth and Planetary Sciences 0.5×
- Dentistry 0.4×
- Nursing 0.4×
- Decision Sciences 0.4×
- Psychology 0.3×
- Agricultural and Biological Sciences 0.2×
- Veterinary 0.2×
- Mathematics 0.2×
- Health Professions 0.1×
- Economics, Econometrics and Finance 0.1×
- Business, Management and Accounting 0.1×
- Social Sciences 0.1×
- Arts and Humanities 0.0×
Who are the top researchers at Shenzhen Institutes of Advanced Technology?
Ranked on the composite score, Yu Qiao, Chao Dong and Xiaojiang Peng lead among researchers whose main affiliation is Shenzhen Institutes of Advanced Technology.
- 1 Yu Qiao China · #7,030 worldwide 4.3k citations · 285 works
- 2 Chao Dong China · #16,683 worldwide 4.9k citations · 40 works
- 3 Xiaojiang Peng China · #63,339 worldwide 423 citations · 49 works
- 4 Guopu Zhu China · #64,506 worldwide 407 citations · 32 works
- 5 Minxian Xu China · #71,966 worldwide 381 citations · 31 works
- 6 Yongbing Tang China · #83,834 worldwide 835 citations · 79 works
- 7 Olatunji Mumini Omisore China · #106,888 worldwide 202 citations · 24 works
- 8 Yali Wang China · #111,226 worldwide 607 citations · 73 works
- 9 Min Yang China · #114,712 worldwide 342 citations · 65 works
- 10 Ali Hassan Sodhro China · #130,686 worldwide 243 citations · 34 works
Which keywords describe research at Shenzhen Institutes of Advanced Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Biomedical Applications, Machine Learning, Nanoparticles, Energy Storage, Cathode Materials and Nanocomposites.
- Perfusion Imaging
- PET/CT
- Electromyography
- Quantitative
- Unsupervised Learning
- Actuators
- Convolutional Networks
- Magnetic Resonance Imaging
- Nanogenerators
- Texture Analysis
- Lithium-ion Batteries
- Rechargeable Batteries
- Feature Extraction
- Tissue Engineering
- Cathode Materials
- Convolutional Neural Networks
- Energy Storage
- Cancer
- Biomedical Applications
- Machine Learning
- Deep Learning
- Neural Networks
- Nanoparticles
- Nanocomposites
- Nanomaterials
- Graphene
- Medical Imaging
- Energy Harvesting
- Health Monitoring
- Flexible Electronics
- Thermal Management
- Robotics
- Wearable
- Medical Image Analysis
- Imaging
- Lithium-Sulfur Batteries
- Image Segmentation
- Gait Analysis
- Muscle Fatigue
- tumor
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 Learning369▲ 3.5×80 topics
- Machine Learning163▲ 1.60×73 topics
- Neural Networks141▲ 3.0×35 topics
- Biomedical Applications124▲ 3.4×35 topics
- Nanoparticles103▲ 2.6×40 topics
- Cancer84▲ 2.0×48 topics
- Nanocomposites84▲ 3.3×21 topics
- Energy Storage82▲ 4.1×11 topics
- Nanomaterials78▲ 2.4×19 topics
- Convolutional Neural Networks78▲ 3.4×14 topics
- Graphene76▲ 3.6×11 topics
- Cathode Materials70▲ 5.7×3 topics
- Medical Imaging56▲ 3.5×8 topics
- Tissue Engineering53▲ 2.8×13 topics
- Energy Harvesting53▲ 9.4×3 topics
- Feature Extraction51▲ 3.6×10 topics
- Health Monitoring46▲ 7.2×4 topics
- Rechargeable Batteries46▲ 5.5×2 topics
- Flexible Electronics44▲ 8.4×3 topics
- Lithium-ion Batteries44▲ 3.4×4 topics
- Thermal Management44▲ 4.3×7 topics
- Texture Analysis42▲ 5.9×3 topics
- Robotics40▲ 5.4×7 topics
- Nanogenerators40▲ 9.7×1 topic
- Wearable40▲ 9.7×1 topic
- Magnetic Resonance Imaging39▲ 4.9×7 topics
- Medical Image Analysis39▲ 6.7×4 topics
- Convolutional Networks38▲ 8.8×3 topics
- Imaging37▲ 4.8×9 topics
- Actuators36▲ 7.4×5 topics
- Lithium-Sulfur Batteries34▲ 7.7×2 topics
- Unsupervised Learning32▲ 7.3×3 topics
- Image Segmentation30▲ 7.8×3 topics
- Quantitative28▲ 10×2 topics
- Gait Analysis28▲ 9.4×2 topics
- Electromyography27▲ 17×1 topic
- Muscle Fatigue27▲ 17×1 topic
- PET/CT27▲ 15×1 topic
- tumor27▲ 15×1 topic
- Perfusion Imaging26▲ 12×2 topics
Which research topics does Shenzhen Institutes of Advanced Technology publish most on?
By volume in 2022–2025: Advanced Sensor and Energy Harvesting Materials, Muscle activation and electromyography studies, Medical Imaging Techniques and Applications and Advancements in Battery Materials.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 40 works
- 2 Muscle activation and electromyography studies Biomedical Engineering 27 works
- 3 Medical Imaging Techniques and Applications Radiology, Nuclear Medicine and Imaging 27 works
- 4 Advancements in Battery Materials Electrical and Electronic Engineering 27 works
- 5 EEG and Brain-Computer Interfaces Cognitive Neuroscience 25 works
- 6 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 23 works
- 7 Advanced Neural Network Applications Computer Vision and Pattern Recognition 23 works
- 8 Advanced MRI Techniques and Applications Radiology, Nuclear Medicine and Imaging 20 works
- 9 Nanoplatforms for cancer theranostics Biomedical Engineering 20 works
- 10 Advanced battery technologies research Electrical and Electronic Engineering 19 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 Institutes of Advanced Technology's research output changed?
Output in 2018–2022 was 104% 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
- Chinese University of Hong Kong, Shenzhen
- Huawei Technologies (China)
- Shenzhen Polytechnic University
- Peng Cheng Laboratory
- University Town of Shenzhen
- 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.