Tianjin University of Technology and Education
In research, Tianjin University of Technology and Education stands highest in Engineering (#1,444 of 6,636 worldwide), Computer Science (#1,448 of 4,667 worldwide) and Physical Sciences (#4,162 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition — Industrial and Manufacturing Engineering is 8.3× its share of world research.
- World rank, 2022–2025
- #6,715 of 28,054 · #9,957 all time
- Rank in China
- #1,390 of 3,058
- Research works
- 5.2k ◆ 2% vs 2013–17
- Citations
- 20k 3.8 per fractional work
- Top-10% rate
- 8.1% record average 16.5%
- Open access
- 32% world 28%
What is Tianjin University of Technology and Education 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 |
|---|---|---|---|---|---|
| EngineeringField | #1,444 of 6,636 | 8.0% | 763 | #2680 | |
| Computer ScienceField | #1,448 of 4,667 | 8.0% | 304 | #3000 | |
| Physical SciencesDomain | #4,162 of 12,888 | 7.7% | 1,252 | #6214 | |
| Computer Vision and Pattern RecognitionSubfield | #470 of 941 | 12.6% | 115 | #1089 | |
| Mechanical EngineeringSubfield | #724 of 1,351 | 10.6% | 136 | #1646 | |
| Electrical and Electronic EngineeringSubfield | #1,520 of 2,318 | 9.6% | 117 | #2735 | |
| Social SciencesDomain | #7,179 of 10,521 | 11.6% | 179 | #12026 | |
| Social SciencesField | #5,316 of 6,365 | 11.3% | 73 | #8613 | |
| Aerospace EngineeringSubfield | #668 of 795 | 20.9% | 64 | #1564 | |
| Control and Systems EngineeringSubfield | #720 of 793 | 3.1% | 130 | #1329 |
Each strip is that field’s whole ranked pool, with the notch where Tianjin University of Technology and Education 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.
- Engineering#2,680 #1,444
- Computer Science#3,000 #1,448
- Physical Sciences#6,214 #4,162
- Computer Vision and Pattern Recognition#1,089 #470
- Mechanical Engineering#1,646 #724
- Electrical and Electronic Engineering#2,735 #1,520
- Social Sciences#12,026 #7,179
- Social Sciences#8,613 #5,316
- Aerospace Engineering#1,564 #668
- Control and Systems Engineering#1,329 #720
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Tianjin University of Technology and Education specialise in?
Where its research is concentrated relative to its size: Industrial and Manufacturing Engineering takes 8.3× the share of its output that it takes of world research.
- Industrial and Manufacturing EngineeringSubfield · 67.2 works8.3×
- Control and Systems EngineeringSubfield · 129.5 works7.6×
- Computer Vision and Pattern RecognitionSubfield · 114.6 works5.8×
- Media TechnologySubfield · 24.5 works5.0×
- Mechanical EngineeringSubfield · 136.4 works4.7×
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, 3.2×. Every wedge is a field page.
- Engineering 3.2×
- Computer Science 2.5×
- Neuroscience 1.9×
- Mathematics 1.7×
- Decision Sciences 1.4×
- Materials Science 1.1×
- Physics and Astronomy 0.9×
- Business, Management and Accounting 0.8×
- Chemical Engineering 0.7×
- Energy 0.6×
- Psychology 0.6×
- Earth and Planetary Sciences 0.5×
- Environmental Science 0.5×
- Economics, Econometrics and Finance 0.4×
- Social Sciences 0.4×
- Agricultural and Biological Sciences 0.2×
- Chemistry 0.2×
- Medicine 0.2×
- Veterinary 0.2×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Arts and Humanities 0.1×
- Nursing 0.1×
- Health Professions 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Dentistry 0.1×
- Immunology and Microbiology 0.1×
Who are the top researchers at Tianjin University of Technology and Education?
Ranked on the composite score, Li Zhao, Xiaofeng Liu and Jin Liu lead among researchers whose main affiliation is Tianjin University of Technology and Education.
- 1 Li Zhao China · #123,649 worldwide 223 citations · 49 works
- 2 Xiaofeng Liu China · #201,986 worldwide 168 citations · 20 works
- 3 Jin Liu China · #280,409 worldwide 165 citations · 36 works
- 4 Huiyan Li China · #470,237 worldwide 91 citations · 28 works
- 5 Shaofeng Yang China · #602,895 worldwide 125 citations · 26 works
- 6 Qiuyang Zhang China · #869,557 worldwide 15 citations · 21 works
- 7 Li Ying Feng China · #898,776 worldwide 9 citations · 19 works
- 8 Yajing Li China · #1,000,930 worldwide 30 citations · 16 works
- 9 Ma Yan China · #1,019,861 worldwide 5 citations · 19 works
- 10 Na Tan China · #1,033,558 worldwide 49 citations · 16 works
Which keywords describe research at Tianjin University of Technology and Education?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Internet of Things, Mechanical Properties, Machine Learning, Convolutional Neural Networks, Tool Wear and Artificial Intelligence.
- Microstructural Evolution
- Sparse Representation
- Object Detection
- Fuzzy Logic
- Surface Integrity
- Image Recognition
- Semiconductor Manufacturing
- Surface Roughness
- Composite Materials
- Texture Analysis
- Multi-Agent Systems
- Neural Network
- Image Processing
- Robotics
- Optimization
- Microstructure
- Wireless Sensor Networks
- Artificial Intelligence
- Internet of Things
- Machine Learning
- Deep Learning
- Neural Networks
- Mechanical Properties
- Convolutional Neural Networks
- Tool Wear
- Remote Sensing
- Computer Vision
- Machine Vision
- Autonomous Vehicles
- Virtual Reality
- Image Classification
- Cloud Computing
- Collision Avoidance
- Fabric Defect Detection
- Wavelet Transform
- Machining
- Convolutional Neural Network
- Process Parameters
- Semantic Segmentation
- Path Planning
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 Learning243▲ 4.5×74 topics
- Machine Learning107▲ 2.1×68 topics
- Neural Networks103▲ 4.2×31 topics
- Internet of Things85▲ 6.2×24 topics
- Mechanical Properties75▲ 4.9×28 topics
- Artificial Intelligence66▲ 3.1×33 topics
- Convolutional Neural Networks63▲ 5.5×13 topics
- Wireless Sensor Networks46▲ 6.5×15 topics
- Tool Wear45▲ 22×3 topics
- Microstructure44▲ 5.5×13 topics
- Remote Sensing44▲ 2.3×18 topics
- Optimization40▲ 5.4×19 topics
- Computer Vision37▲ 8.8×4 topics
- Robotics37▲ 9.6×7 topics
- Machine Vision36▲ 10×6 topics
- Image Processing35▲ 5.1×11 topics
- Autonomous Vehicles34▲ 10×4 topics
- Neural Network33▲ 11×8 topics
- Virtual Reality32▲ 4.1×9 topics
- Multi-Agent Systems30▲ 10×5 topics
- Image Classification30▲ 11×2 topics
- Texture Analysis29▲ 8.2×3 topics
- Cloud Computing29▲ 6.6×13 topics
- Composite Materials28▲ 8.8×6 topics
- Collision Avoidance27▲ 9.5×3 topics
- Surface Roughness27▲ 13×4 topics
- Fabric Defect Detection25▲ 20×1 topic
- Semiconductor Manufacturing25▲ 20×1 topic
- Wavelet Transform24▲ 6.8×5 topics
- Image Recognition24▲ 12×2 topics
- Machining23▲ 27×1 topic
- Surface Integrity23▲ 27×1 topic
- Convolutional Neural Network23▲ 9.4×4 topics
- Fuzzy Logic23▲ 5.8×7 topics
- Process Parameters23▲ 13×3 topics
- Object Detection22▲ 11×1 topic
- Semantic Segmentation22▲ 11×1 topic
- Sparse Representation21▲ 7.0×6 topics
- Path Planning21▲ 10×3 topics
- Microstructural Evolution20▲ 8.5×4 topics
Which research topics does Tianjin University of Technology and Education publish most on?
By volume in 2022–2025: Industrial Vision Systems and Defect Detection, Advanced machining processes and optimization, Advanced Neural Network Applications and EEG and Brain-Computer Interfaces.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 25 works
- 2 Advanced machining processes and optimization Mechanical Engineering 23 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 22 works
- 4 EEG and Brain-Computer Interfaces Cognitive Neuroscience 19 works
- 5 Advanced Algorithms and Applications Control and Systems Engineering 16 works
- 6 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 15 works
- 7 Advanced Surface Polishing Techniques Biomedical Engineering 13 works
- 8 Robotics and Sensor-Based Localization Aerospace Engineering 12 works
- 9 E-commerce and Technology Innovations Business and International Management 12 works
- 10 High Entropy Alloys Studies Mechanical Engineering 12 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 Tianjin University of Technology and Education's research output changed?
Output in 2018–2022 was 2% 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 Tianjin
- Tianjin University
- Nankai University
- Hebei University of Technology
- Tianjin University of Technology
- Tiangong University
- Tianjin Medical University
- Tianjin University of Science and Technology
- Civil Aviation University of China
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.