- Research works
- 66 ▲ 46% vs 2013–17
- Citations
- 402 6.1 per fractional work
- Top-10% rate
- 9.5% record average 16.5%
- Open access
- 34% world 28%
Not ranked overall: UnionPay (China) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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, 7.5×. Every wedge is a field page.
- Computer Science 7.5×
- Business, Management and Accounting 2.4×
- Economics, Econometrics and Finance 2.0×
- Physics and Astronomy 1.9×
- Decision Sciences 1.6×
- Engineering 0.8×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Dentistry 0.5×
- Earth and Planetary Sciences 0.5×
- Psychology 0.3×
- Neuroscience 0.2×
- Medicine 0.2×
- Environmental Science 0.2×
- Social Sciences 0.2×
Which keywords describe research at UnionPay (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Graph Convolutional Networks, Graph Neural Networks, Knowledge Graph Embedding, Machine Learning, Neural Networks, Security and Feature Selection.
- Supply Chain Management
- Security
- Neural Networks
- Graph Neural Networks
- Machine Learning
- Deep Learning
- Graph Convolutional Networks
- Knowledge Graph Embedding
- Healthcare
- Feature Selection
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 10 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 10 words, with their numbers
- Deep Learning5▲ 6.7×18 topics
- Machine Learning2▲ 3.1×11 topics
- Graph Convolutional Networks2▲ 87×2 topics
- Graph Neural Networks2▲ 189×1 topic
- Knowledge Graph Embedding2▲ 189×1 topic
- Neural Networks2▲ 4.7×9 topics
- Healthcare1▲ 5.4×3 topics
- Security1▲ 8.4×5 topics
- Feature Selection1▲ 24×3 topics
- Supply Chain Management1▲ 5.1×3 topics
Which research topics does UnionPay (China) publish most on?
By volume in 2022–2025: Advanced Graph Neural Networks, Complex Network Analysis Techniques, Topological and Geometric Data Analysis and Graph Theory and Algorithms.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Graph Neural Networks Artificial Intelligence 2 works
- 2 Complex Network Analysis Techniques Statistical and Nonlinear Physics 1 works
- 3 Topological and Geometric Data Analysis Computational Theory and Mathematics 1 works
- 4 Graph Theory and Algorithms Computer Vision and Pattern Recognition 1 works
- 5 Machine Learning in Healthcare Artificial Intelligence 1 works
- 6 Rough Sets and Fuzzy Logic Computational Theory and Mathematics 1 works
- 7 Big Data and Business Intelligence Management Information Systems 0 works
- 8 Blockchain Technology Applications and Security Information Systems 0 works
- 9 Text and Document Classification Technologies Artificial Intelligence 0 works
- 10 Interactive and Immersive Displays Human-Computer Interaction 0 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 UnionPay (China)'s research output changed?
Output in 2018–2022 was 46% 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 Pudong
- Shanghai Institute of Materia Medica
- Shanghai Institute of Applied Physics
- Shanghai Advanced Research Institute
- Shanghai Jian Qiao University
- Shanghai First Maternity and Infant Hospital
- China Europe International Business School
- Shanghai Zhangjiang Laboratory
- China Construction Eighth Engineering Division (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.