Suzhou Institute of Biomedical Engineering and Technology
In research, Suzhou Institute of Biomedical Engineering and Technology stands highest in Physical Sciences (#4,524 of 12,888 worldwide), Life Sciences (#3,909 of 7,800 worldwide) and Engineering (#4,321 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Biomedical Engineering and Radiology, Nuclear Medicine and Imaging — Biomedical Engineering is 7.5× its share of world research.
- World rank, 2022–2025
- #5,650 of 28,054 · #9,921 all time
- Rank in China
- #1,213 of 3,058
- Research works
- 928 ▲ 97% vs 2013–17
- Citations
- 13k 14.2 per fractional work
- Top-10% rate
- 20.8% record average 16.5%
- Open access
- 36% world 28%
What is Suzhou Institute of Biomedical Engineering and 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 | #4,524 of 12,888 | 19.1% | 199 | #7786 | |
| Life SciencesDomain | #3,909 of 7,800 | 24.6% | 92 | #7018 | |
| EngineeringField | #4,321 of 6,636 | 17.3% | 107 | #7366 | |
| Biochemistry, Genetics and Molecular BiologyField | #2,447 of 3,579 | 23.2% | 63 | #4761 | |
| MedicineField | #7,811 of 10,443 | 20.8% | 85 | #12479 | |
| Health SciencesDomain | #9,499 of 11,982 | 20.8% | 88 | #15364 |
Each strip is that field’s whole ranked pool, with the notch where Suzhou Institute of Biomedical Engineering and 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#7,786 #4,524
- Life Sciences#7,018 #3,909
- Engineering#7,366 #4,321
- Biochemistry, Genetics and Molecular Biology#4,761 #2,447
- Medicine#12,479 #7,811
- Health Sciences#15,364 #9,499
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Suzhou Institute of Biomedical Engineering and Technology specialise in?
Where its research is concentrated relative to its size: Biomedical Engineering takes 7.5× the share of its output that it takes of world research.
- Biomedical EngineeringSubfield · 59.5 works7.5×
- Radiology, Nuclear Medicine and ImagingSubfield · 24.1 works7.0×
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: Biochemistry, Genetics and Molecular Biology, 3.1×. Every wedge is a field page.
- Biochemistry, Genetics and Molecular Biology 3.1×
- Neuroscience 2.8×
- Chemistry 2.2×
- Materials Science 2.2×
- Engineering 1.9×
- Immunology and Microbiology 1.8×
- Physics and Astronomy 1.2×
- Medicine 1.2×
- Computer Science 1.0×
- Chemical Engineering 0.8×
- Nursing 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Earth and Planetary Sciences 0.3×
- Energy 0.2×
- Environmental Science 0.2×
- Agricultural and Biological Sciences 0.2×
- Psychology 0.2×
- Dentistry 0.2×
- Health Professions 0.1×
- Mathematics 0.1×
- Business, Management and Accounting 0.0×
- Social Sciences 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at Suzhou Institute of Biomedical Engineering and Technology?
Ranked on the composite score, Qian Mei, Wen‐Fei Dong and Hongbo Yang lead among researchers whose main affiliation is Suzhou Institute of Biomedical Engineering and Technology.
- 1 Qian Mei China · #217,160 worldwide 169 citations · 19 works
- 2 Wen‐Fei Dong China · #330,829 worldwide 155 citations · 37 works
- 3 Hongbo Yang China · #671,913 worldwide 66 citations · 20 works
- 4 Yakang Dai China · #904,348 worldwide 60 citations · 27 works
- 5 Peng Miao China · #967,360 worldwide 153 citations · 47 works
- 6 Li Li China · #1,048,863 worldwide 82 citations · 18 works
- 7 Liquan Guo China · #1,127,513 worldwide 26 citations · 17 works
- 8 Jian Zheng China · #1,147,763 worldwide 28 citations · 28 works
- 9 Yaoyao Cui China · #1,427,032 worldwide 13 citations · 31 works
- 10 Xusheng Qian China · #1,427,362 worldwide 15 citations · 17 works
Which keywords describe research at Suzhou Institute of Biomedical Engineering and Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Biomedical Applications, Deep Learning, Biosensors, Lab-on-a-Chip, Nanoparticles, Electrochemistry, Self-Assembly and Bioimaging.
- Fluorescent Nanoparticles
- Surface Functionalization
- Photoacoustic Imaging
- Molecular Imaging
- Paper-Based Microfluidics
- Tomography
- Microfluidic Devices
- Reactive Oxygen Species
- Image Processing
- Cancer Detection
- Medical Imaging
- Feature Extraction
- Drug Delivery
- Convolutional Neural Networks
- aptamers
- Molecular Machines
- Self-Assembly
- Lab-on-a-Chip
- Nanoparticles
- Deep Learning
- Biomedical Applications
- Biosensors
- Machine Learning
- Electrochemistry
- Bioimaging
- DNA nanotechnology
- Microfluidics
- Cancer
- Point-of-Care Diagnostics
- In Vivo Imaging
- Photodynamic Therapy
- Dielectrophoresis
- Texture Analysis
- Medical Image Analysis
- Gene Therapy
- Loop-Mediated Isothermal Amplification
- Green Synthesis
- Optoacoustic Techniques
- Heart Rate Variability
- Carbon Quantum Dots
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
- Biomedical Applications41▲ 9.1×29 topics
- Deep Learning40▲ 3.1×49 topics
- Biosensors24▲ 12×11 topics
- Nanoparticles21▲ 4.5×20 topics
- Machine Learning20▲ 1.56×22 topics
- Lab-on-a-Chip18▲ 39×4 topics
- Electrochemistry15▲ 17×2 topics
- Self-Assembly15▲ 12×8 topics
- Bioimaging14▲ 16×6 topics
- Molecular Machines13▲ 25×2 topics
- DNA nanotechnology13▲ 27×1 topic
- aptamers13▲ 27×1 topic
- Microfluidics13▲ 44×3 topics
- Convolutional Neural Networks11▲ 3.9×12 topics
- Cancer10▲ 2.0×24 topics
- Drug Delivery10▲ 4.8×13 topics
- Point-of-Care Diagnostics10▲ 30×2 topics
- Feature Extraction10▲ 5.4×9 topics
- In Vivo Imaging9▲ 28×3 topics
- Medical Imaging9▲ 4.6×8 topics
- Photodynamic Therapy9▲ 10×5 topics
- Cancer Detection9▲ 32×2 topics
- Dielectrophoresis8▲ 58×2 topics
- Image Processing8▲ 4.9×10 topics
- Texture Analysis8▲ 9.1×3 topics
- Reactive Oxygen Species8▲ 5.1×6 topics
- Medical Image Analysis8▲ 11×4 topics
- Microfluidic Devices7▲ 16×2 topics
- Gene Therapy6▲ 8.7×5 topics
- Tomography6▲ 9.0×4 topics
- Loop-Mediated Isothermal Amplification6▲ 26×1 topic
- Paper-Based Microfluidics6▲ 26×1 topic
- Green Synthesis6▲ 8.0×3 topics
- Molecular Imaging6▲ 17×2 topics
- Optoacoustic Techniques6▲ 40×1 topic
- Photoacoustic Imaging6▲ 40×1 topic
- Heart Rate Variability5▲ 12×2 topics
- Surface Functionalization5▲ 27×2 topics
- Carbon Quantum Dots5▲ 37×1 topic
- Fluorescent Nanoparticles5▲ 37×1 topic
Which research topics does Suzhou Institute of Biomedical Engineering and Technology publish most on?
By volume in 2022–2025: Advanced biosensing and bioanalysis techniques, Biosensors and Analytical Detection, Photoacoustic and Ultrasonic Imaging and Carbon and Quantum Dots Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced biosensing and bioanalysis techniques Molecular Biology 13 works
- 2 Biosensors and Analytical Detection Biomedical Engineering 6 works
- 3 Photoacoustic and Ultrasonic Imaging Biomedical Engineering 6 works
- 4 Carbon and Quantum Dots Applications Materials Chemistry 5 works
- 5 EEG and Brain-Computer Interfaces Cognitive Neuroscience 5 works
- 6 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 5 works
- 7 Electrowetting and Microfluidic Technologies Electrical and Electronic Engineering 4 works
- 8 Innovative Microfluidic and Catalytic Techniques Innovation Biomedical Engineering 4 works
- 9 Non-Invasive Vital Sign Monitoring Biomedical Engineering 4 works
- 10 Luminescence and Fluorescent Materials Materials Chemistry 4 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 Suzhou Institute of Biomedical Engineering and Technology's research output changed?
Output in 2018–2022 was 97% 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 Suzhou
- Soochow University
- Suzhou University of Science and Technology
- Xi’an Jiaotong-Liverpool University
- First Affiliated Hospital of Soochow University
- Suzhou Research Institute
- Second Affiliated Hospital of Soochow University
- Suzhou Institute of Nano-tech and Nano-bionics
- Suzhou Vocational 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.