Cangzhou Normal University
In research, Cangzhou Normal University stands highest in Computer Science (#2,817 of 4,667 worldwide), Physical Sciences (#7,899 of 12,888 worldwide) and Social Sciences (#8,449 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence — Artificial Intelligence is 4.8× its share of world research.
- World rank, 2022–2025
- #13,716 of 28,054 · #24,935 all time
- Rank in China
- #2,287 of 3,058
- Research works
- 1.4k ▼ 36% vs 2013–17
- Citations
- 2.8k 1.9 per fractional work
- Top-10% rate
- 17.2% record average 16.5%
- Open access
- 22% world 28%
What is Cangzhou Normal University 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #2,817 of 4,667 | 17.2% | 63 | #4420 | |
| Physical SciencesDomain | #7,899 of 12,888 | 16.9% | 154 | #15174 | |
| Social SciencesDomain | #8,449 of 10,521 | 22.1% | 62 | #13358 |
Each strip is that field’s whole ranked pool, with the notch where Cangzhou Normal University 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.
- Computer Science#4,420 #2,817
- Physical Sciences#15,174 #7,899
- Social Sciences#13,358 #8,449
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Cangzhou Normal University specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 4.8× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 30.9 works4.8×
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: Computer Science, 3.1×. Every wedge is a field page.
- Computer Science 3.1×
- Decision Sciences 2.5×
- Energy 1.8×
- Mathematics 1.6×
- Environmental Science 1.4×
- Business, Management and Accounting 1.4×
- Chemistry 1.3×
- Materials Science 1.2×
- Economics, Econometrics and Finance 1.2×
- Engineering 1.1×
- Psychology 1.1×
- Neuroscience 0.8×
- Immunology and Microbiology 0.8×
- Veterinary 0.7×
- Social Sciences 0.7×
- Health Professions 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Arts and Humanities 0.6×
- Chemical Engineering 0.5×
- Earth and Planetary Sciences 0.5×
- Nursing 0.5×
- Medicine 0.4×
- Agricultural and Biological Sciences 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Physics and Astronomy 0.2×
- Dentistry 0.1×
Who are the top researchers at Cangzhou Normal University?
Ranked on the composite score, Bingzhang Wang lead among researchers whose main affiliation is Cangzhou Normal University.
- 1 Bingzhang Wang China · #1,581,520 worldwide 26 citations · 20 works
Which keywords describe research at Cangzhou Normal University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Artificial Intelligence, Deep Learning, Machine Learning, Data Mining, Internet of Things, Cloud Computing, Online Education and Physical Education.
- Student Satisfaction
- Virtual Reality Technology
- Political Education
- Cathode Materials
- Human-Computer Interaction
- Information Systems
- Higher Education
- Big Data Analytics
- Semantic Representation
- Visual Question Answering
- Supply Chain Management
- Convolutional Neural Network
- Online Learning
- Educational Technology
- Teaching Evaluation
- Big Data
- Neural Networks
- Cloud Computing
- Data Mining
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Internet of Things
- Online Education
- Physical Education
- Multimedia Teaching
- Wireless Sensor Networks
- Healthcare
- E-Learning
- Image Classification
- Semantic Reasoning
- Graph Embedding
- Multimedia Technology
- Digital Transformation
- Lithium-ion Batteries
- Logistics
- Technology Integration
- Ideological Education
- Student Performance
- Regional 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 Learning39▲ 4.4×41 topics
- Machine Learning34▲ 4.0×39 topics
- Artificial Intelligence31▲ 8.7×18 topics
- Data Mining20▲ 10×11 topics
- Internet of Things20▲ 8.6×16 topics
- Cloud Computing14▲ 20×6 topics
- Online Education13▲ 27×4 topics
- Neural Networks12▲ 2.9×23 topics
- Physical Education11▲ 34×4 topics
- Big Data10▲ 4.3×11 topics
- Multimedia Teaching10▲ 113×1 topic
- Teaching Evaluation10▲ 113×1 topic
- Wireless Sensor Networks9▲ 7.8×12 topics
- Educational Technology9▲ 2.9×10 topics
- Healthcare9▲ 2.9×10 topics
- Online Learning8▲ 3.7×5 topics
- E-Learning8▲ 2.9×7 topics
- Convolutional Neural Network7▲ 18×2 topics
- Image Classification7▲ 16×2 topics
- Supply Chain Management7▲ 3.0×8 topics
- Semantic Reasoning7▲ 33×2 topics
- Visual Question Answering7▲ 33×2 topics
- Graph Embedding7▲ 84×1 topic
- Semantic Representation7▲ 72×1 topic
- Multimedia Technology7▲ 38×2 topics
- Big Data Analytics6▲ 11×4 topics
- Digital Transformation5▲ 3.8×7 topics
- Higher Education5▲ 3.7×4 topics
- Lithium-ion Batteries5▲ 4.7×3 topics
- Information Systems5▲ 11×2 topics
- Logistics5▲ 12×3 topics
- Human-Computer Interaction5▲ 11×3 topics
- Technology Integration5▲ 5.9×5 topics
- Cathode Materials4▲ 4.4×3 topics
- Ideological Education4▲ 58×1 topic
- Political Education4▲ 58×1 topic
- Student Performance4▲ 13×2 topics
- Virtual Reality Technology4▲ 45×3 topics
- Regional Planning4▲ 18×2 topics
- Student Satisfaction4▲ 7.2×2 topics
Which research topics does Cangzhou Normal University publish most on?
By volume in 2022–2025: Educational Technology and Pedagogy, Advanced Technologies in Various Fields, Ideological and Political Education and Educational Reforms and Innovations.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Educational Technology and Pedagogy Artificial Intelligence 10 works
- 2 Advanced Technologies in Various Fields Artificial Intelligence 7 works
- 3 Ideological and Political Education Education 4 works
- 4 Educational Reforms and Innovations Health, Toxicology and Mutagenesis 3 works
- 5 Online Learning and Analytics Computer Science Applications 3 works
- 6 Technology-Enhanced Education Studies Education 3 works
- 7 Digital Media and Visual Art Computer Graphics and Computer-Aided Design 3 works
- 8 AI and Big Data Applications Information Systems 3 works
- 9 Innovative Educational Techniques Education 3 works
- 10 Educational Innovations and Challenges Information Systems 3 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 Cangzhou Normal University's research output changed?
Output in 2018–2022 was 36% lower 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 Cangzhou
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.