Xiamen University of Technology
In research, Xiamen University of Technology stands highest in Physical Sciences (#740 of 12,888 worldwide), Engineering (#423 of 6,636 worldwide) and Computer Science (#362 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Graphics and Computer-Aided Design, Business and International Management and Computer Vision and Pattern Recognition — Computer Graphics and Computer-Aided Design is 6.0× its share of world research.
- World rank, 2022–2025
- #1,132 of 28,054 · #2,485 all time
- Rank in China
- #357 of 3,058
- Research works
- 10k ▲ 66% vs 2013–17
- Citations
- 92k 8.9 per fractional work
- Top-10% rate
- 14.9% record average 16.5%
- Open access
- 30% world 28%
What is Xiamen University of 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 | #740 of 12,888 | 12.9% | 3,470 | #1803 | |
| EngineeringField | #423 of 6,636 | 12.4% | 1,696 | #1213 | |
| Computer ScienceField | #362 of 4,667 | 12.4% | 814 | #954 | |
| Electrical and Electronic EngineeringSubfield | #340 of 2,318 | 11.0% | 595 | #803 | |
| Social SciencesDomain | #1,912 of 10,521 | 23.6% | 543 | #3930 | |
| Artificial IntelligenceSubfield | #437 of 1,884 | 16.6% | 228 | #955 | |
| Materials ScienceField | #616 of 2,468 | 17.3% | 314 | #1485 | |
| Computer Vision and Pattern RecognitionSubfield | #252 of 941 | 9.2% | 301 | #633 | |
| Biomedical EngineeringSubfield | #454 of 1,568 | 14.5% | 195 | #1093 | |
| Health SciencesDomain | #3,753 of 11,982 | 19.5% | 203 | #8750 |
Each strip is that field’s whole ranked pool, with the notch where Xiamen University of 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#1,803 #740
- Engineering#1,213 #423
- Computer Science#954 #362
- Electrical and Electronic Engineering#803 #340
- Social Sciences#3,930 #1,912
- Artificial Intelligence#955 #437
- Materials Science#1,485 #616
- Computer Vision and Pattern Recognition#633 #252
- Biomedical Engineering#1,093 #454
- Health Sciences#8,750 #3,753
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Xiamen University of Technology specialise in?
Where its research is concentrated relative to its size: Computer Graphics and Computer-Aided Design takes 6.0× the share of its output that it takes of world research.
- Computer Graphics and Computer-Aided DesignSubfield · 21.7 works6.0×
- Business and International ManagementSubfield · 26.1 works5.7×
- Computer Vision and Pattern RecognitionSubfield · 300.8 works5.4×
- Electrical and Electronic EngineeringSubfield · 594.8 works3.8×
- Condensed Matter PhysicsSubfield · 26.1 works3.7×
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: Engineering, 2.6×. Every wedge is a field page.
- Engineering 2.6×
- Computer Science 2.4×
- Materials Science 2.0×
- Energy 1.7×
- Physics and Astronomy 1.6×
- Decision Sciences 1.2×
- Mathematics 1.2×
- Chemical Engineering 1.1×
- Environmental Science 1.1×
- Business, Management and Accounting 1.0×
- Earth and Planetary Sciences 0.9×
- Economics, Econometrics and Finance 0.8×
- Chemistry 0.6×
- Neuroscience 0.6×
- Psychology 0.5×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Social Sciences 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Health Professions 0.2×
- Medicine 0.2×
- Agricultural and Biological Sciences 0.2×
- Immunology and Microbiology 0.2×
- Arts and Humanities 0.2×
- Nursing 0.1×
- Dentistry 0.1×
- Veterinary 0.1×
Who are the top researchers at Xiamen University of Technology?
Ranked on the composite score, Yumin Chen, Fan Wu and Bin Yan lead among researchers whose main affiliation is Xiamen University of Technology.
- 1 Yumin Chen China · #100,607 worldwide 234 citations · 35 works
- 2 Fan Wu China · #131,078 worldwide 376 citations · 21 works
- 3 Bin Yan China · #201,945 worldwide 138 citations · 28 works
- 4 Xiaopeng Dong China · #242,855 worldwide 77 citations · 34 works
- 5 Lili Xu China · #272,204 worldwide 147 citations · 23 works
- 6 Qiuhong Li China · #279,859 worldwide 286 citations · 30 works
- 7 Xiangjun Lu China · #292,198 worldwide 140 citations · 17 works
- 8 Xiaochuan Duan China · #352,539 worldwide 324 citations · 21 works
- 9 Fei Pei China · #413,399 worldwide 222 citations · 18 works
- 10 Lei Xiao China · #455,549 worldwide 85 citations · 19 works
Which keywords describe research at Xiamen University of Technology?
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, Internet of Things, Semiconductors, Remote Sensing and Computer Vision.
- Semiconductor Manufacturing
- Light-Emitting Diodes
- Semantic Segmentation
- Robotics
- Image Recognition
- Battery Technology
- Texture Analysis
- Nanostructures
- Machine Vision
- Virtual Reality
- Crystal Growth
- Image Processing
- Computer Vision
- Nanocomposites
- Graphene
- Energy Storage
- Biomedical Applications
- Remote Sensing
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Internet of Things
- Artificial Intelligence
- Nanomaterials
- Renewable Energy
- Wireless Sensor Networks
- Semiconductors
- Cathode Materials
- Lithium-ion Batteries
- Biosensors
- Semiconductor
- Image Classification
- Thermal Management
- Support Vector Machines
- Neural Network
- Nanowires
- Object Detection
- Solid-State Lighting
- Fabric Defect Detection
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 Learning585▲ 3.9×82 topics
- Machine Learning263▲ 1.82×84 topics
- Neural Networks237▲ 3.5×35 topics
- Convolutional Neural Networks155▲ 4.8×14 topics
- Internet of Things127▲ 3.3×26 topics
- Remote Sensing124▲ 2.3×34 topics
- Artificial Intelligence116▲ 1.92×37 topics
- Biomedical Applications97▲ 1.86×32 topics
- Nanomaterials94▲ 2.0×19 topics
- Energy Storage92▲ 3.2×12 topics
- Renewable Energy90▲ 1.41×35 topics
- Graphene84▲ 2.8×11 topics
- Wireless Sensor Networks82▲ 4.1×19 topics
- Nanocomposites82▲ 2.3×19 topics
- Semiconductors81▲ 6.0×5 topics
- Computer Vision73▲ 6.1×4 topics
- Cathode Materials71▲ 4.1×3 topics
- Image Processing69▲ 3.5×13 topics
- Lithium-ion Batteries67▲ 3.6×3 topics
- Crystal Growth62▲ 5.0×11 topics
- Biosensors62▲ 2.7×12 topics
- Virtual Reality62▲ 2.8×15 topics
- Semiconductor61▲ 4.0×7 topics
- Machine Vision60▲ 6.0×6 topics
- Image Classification59▲ 7.8×3 topics
- Nanostructures58▲ 3.3×17 topics
- Thermal Management58▲ 4.0×8 topics
- Texture Analysis55▲ 5.4×3 topics
- Support Vector Machines53▲ 3.8×8 topics
- Battery Technology53▲ 4.2×3 topics
- Neural Network50▲ 5.9×9 topics
- Image Recognition48▲ 8.2×2 topics
- Nanowires47▲ 7.5×5 topics
- Robotics47▲ 4.4×6 topics
- Object Detection45▲ 8.1×1 topic
- Semantic Segmentation45▲ 8.1×1 topic
- Solid-State Lighting44▲ 13×2 topics
- Light-Emitting Diodes44▲ 6.3×2 topics
- Fabric Defect Detection38▲ 11×1 topic
- Semiconductor Manufacturing38▲ 11×1 topic
Which research topics does Xiamen University of Technology publish most on?
By volume in 2022–2025: Advanced Neural Network Applications, Industrial Vision Systems and Defect Detection, Advancements in Battery Materials and Advanced Sensor and Energy Harvesting Materials.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 45 works
- 2 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 38 works
- 3 Advancements in Battery Materials Electrical and Electronic Engineering 35 works
- 4 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 30 works
- 5 Advanced Fiber Optic Sensors Electrical and Electronic Engineering 26 works
- 6 Advanced Battery Technologies Research Automotive Engineering 26 works
- 7 E-commerce and Technology Innovations Business and International Management 25 works
- 8 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 24 works
- 9 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 24 works
- 10 Luminescence Properties of Advanced Materials Materials Chemistry 24 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 Xiamen University of Technology's research output changed?
Output in 2018–2022 was 66% 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 Xiamen
- Xiamen University
- Huaqiao University
- Jimei University
- First Affiliated Hospital of Xiamen University
- Zhongshan Hospital of Xiamen University
- Institute of Urban Environment
- Fujian Institute of Oceanography
- Tan Kah Kee Innovation Laboratory
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.