Communication University of China
In research, Communication University of China stands highest in Computer Science (#457 of 4,667 worldwide), Social Sciences (#1,698 of 10,521 worldwide) and Physical Sciences (#2,669 of 12,888 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 30.6× its share of world research.
- World rank, 2022–2025
- #3,433 of 28,054 · #6,300 all time
- Rank in China
- #835 of 3,058
- Research works
- 8.5k ▲ 5% vs 2013–17
- Citations
- 31k 3.6 per fractional work
- Top-10% rate
- 14.6% record average 16.5%
- Open access
- 25% world 28%
What is Communication University of China 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 | #457 of 4,667 | 13.2% | 785 | #1285 | |
| Social SciencesDomain | #1,698 of 10,521 | 18.4% | 714 | #3477 | |
| Physical SciencesDomain | #2,669 of 12,888 | 12.9% | 1,330 | #4356 | |
| EngineeringField | #1,510 of 6,636 | 12.5% | 381 | #1855 | |
| Social SciencesField | #1,683 of 6,365 | 17.5% | 376 | #2923 | |
| Computer Vision and Pattern RecognitionSubfield | #301 of 941 | 11.6% | 265 | #731 | |
| Sociology and Political ScienceSubfield | #1,003 of 2,578 | 15.2% | 154 | #1777 | |
| Artificial IntelligenceSubfield | #738 of 1,884 | 16.5% | 218 | #1264 | |
| Aerospace EngineeringSubfield | #394 of 795 | 23.1% | 110 | #844 | |
| PsychologyField | #1,314 of 2,181 | 21.5% | 79 | #2371 |
Each strip is that field’s whole ranked pool, with the notch where Communication University of China 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#1,285 #457
- Social Sciences#3,477 #1,698
- Physical Sciences#4,356 #2,669
- Engineering#1,855 #1,510
- Social Sciences#2,923 #1,683
- Computer Vision and Pattern Recognition#731 #301
- Sociology and Political Science#1,777 #1,003
- Artificial Intelligence#1,264 #738
- Aerospace Engineering#844 #394
- Psychology#2,371 #1,314
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Communication University of China specialise in?
Where its research is concentrated relative to its size: Computer Graphics and Computer-Aided Design takes 30.6× the share of its output that it takes of world research.
- Computer Graphics and Computer-Aided DesignSubfield · 54.5 works31×
- Business and International ManagementSubfield · 26.9 works12×
- Computer Vision and Pattern RecognitionSubfield · 265.2 works9.8×
- Signal ProcessingSubfield · 62.8 works9.6×
- Human-Computer InteractionSubfield · 34.5 works7.7×
- Statistical and Nonlinear PhysicsSubfield · 44.7 works6.6×
- CommunicationSubfield · 37.8 works6.4×
- Cultural StudiesSubfield · 42.5 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, 4.7×. Every wedge is a field page.
- Computer Science 4.7×
- Decision Sciences 1.9×
- Physics and Astronomy 1.6×
- Business, Management and Accounting 1.5×
- Social Sciences 1.4×
- Arts and Humanities 1.2×
- Psychology 1.2×
- Engineering 1.2×
- Neuroscience 1.0×
- Economics, Econometrics and Finance 0.8×
- Mathematics 0.6×
- Earth and Planetary Sciences 0.4×
- Materials Science 0.3×
- Environmental Science 0.3×
- Health Professions 0.2×
- Energy 0.2×
- Chemical Engineering 0.1×
- Medicine 0.1×
- Veterinary 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Agricultural and Biological Sciences 0.1×
- Chemistry 0.0×
- Dentistry 0.0×
- Nursing 0.0×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
- Immunology and Microbiology 0.0×
Who are the top researchers at Communication University of China?
Ranked on the composite score, Naiqian Zhang, Peng Guan and Wenqian Shang lead among researchers whose main affiliation is Communication University of China.
- 1 Naiqian Zhang China · #92,944 worldwide 260 citations · 29 works
- 2 Peng Guan China · #266,363 worldwide 96 citations · 20 works
- 3 Wenqian Shang China · #336,177 worldwide 117 citations · 29 works
- 4 Sun Chao China · #353,863 worldwide 0 citations · 26 works
- 5 Zhang Jing China · #413,829 worldwide 6 citations · 24 works
- 6 Yuan Zhang China · #423,751 worldwide 23 citations · 27 works
- 7 Shuhui Yang China · #436,012 worldwide 113 citations · 29 works
- 8 Yuan Zhang China · #479,938 worldwide 83 citations · 30 works
- 9 Hongcheng Yin China · #481,204 worldwide 88 citations · 45 works
- 10 Qingxin Guo China · #487,158 worldwide 53 citations · 25 works
Which keywords describe research at Communication University of China?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Artificial Intelligence, Virtual Reality, Social Media, Machine Learning, Human-Computer Interaction and Convolutional Neural Networks.
- Logistics
- Topic Modeling
- Microstrip
- Antenna
- Text Classification
- Korean Wave
- Metasurfaces
- Representation Learning
- Cultural Diplomacy
- Network Dynamics
- Information Retrieval
- Wireless Communications
- Digital Media Technology
- Feature Extraction
- Multimedia Technology
- Internet of Things
- Human-Computer Interaction
- Virtual Reality
- Artificial Intelligence
- Neural Networks
- Deep Learning
- Machine Learning
- Social Media
- Convolutional Neural Networks
- Globalization
- Convolutional Networks
- Big Data
- Cultural Identity
- Visual Communication Design
- Unsupervised Learning
- Generative Adversarial Networks
- Social Influence
- Polarization
- Frequency Selective Surfaces
- Hallyu
- Sparse Representation
- Metamaterial
- Big Data Analytics
- Emotion Recognition
- Machine Translation
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 Learning453▲ 6.1×77 topics
- Neural Networks203▲ 6.1×33 topics
- Machine Learning160▲ 2.3×75 topics
- Artificial Intelligence132▲ 4.5×39 topics
- Social Media123▲ 4.0×30 topics
- Virtual Reality92▲ 8.5×13 topics
- Convolutional Neural Networks92▲ 5.8×14 topics
- Human-Computer Interaction80▲ 21×7 topics
- Globalization73▲ 1.73×48 topics
- Internet of Things66▲ 3.5×24 topics
- Convolutional Networks57▲ 19×3 topics
- Multimedia Technology57▲ 40×2 topics
- Big Data56▲ 2.9×24 topics
- Feature Extraction54▲ 5.5×10 topics
- Cultural Identity52▲ 4.7×10 topics
- Digital Media Technology47▲ 52×1 topic
- Visual Communication Design47▲ 52×1 topic
- Wireless Communications46▲ 12×5 topics
- Unsupervised Learning43▲ 14×3 topics
- Information Retrieval43▲ 9.2×6 topics
- Generative Adversarial Networks42▲ 24×2 topics
- Network Dynamics42▲ 19×3 topics
- Social Influence42▲ 8.9×2 topics
- Cultural Diplomacy40▲ 23×4 topics
- Polarization40▲ 12×3 topics
- Representation Learning38▲ 13×3 topics
- Frequency Selective Surfaces37▲ 25×1 topic
- Metasurfaces37▲ 25×1 topic
- Hallyu37▲ 58×1 topic
- Korean Wave37▲ 58×1 topic
- Sparse Representation36▲ 8.6×6 topics
- Text Classification36▲ 10×3 topics
- Metamaterial35▲ 17×2 topics
- Antenna34▲ 18×1 topic
- Big Data Analytics34▲ 7.3×4 topics
- Microstrip34▲ 18×1 topic
- Emotion Recognition34▲ 8.4×5 topics
- Topic Modeling34▲ 11×3 topics
- Machine Translation33▲ 9.3×2 topics
- Logistics31▲ 8.9×3 topics
Which research topics does Communication University of China publish most on?
By volume in 2022–2025: Digital Media and Visual Art, Advanced Antenna and Metasurface Technologies, Asian Culture and Media Studies and Antenna Design and Analysis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Digital Media and Visual Art Computer Graphics and Computer-Aided Design 47 works
- 2 Advanced Antenna and Metasurface Technologies Aerospace Engineering 37 works
- 3 Asian Culture and Media Studies Cultural Studies 37 works
- 4 Antenna Design and Analysis Aerospace Engineering 34 works
- 5 Music and Audio Processing Signal Processing 28 works
- 6 Digital Marketing and Social Media Sociology and Political Science 26 works
- 7 E-commerce and Technology Innovations Business and International Management 26 works
- 8 Topic Modeling Artificial Intelligence 25 works
- 9 Complex Network Analysis Techniques Statistical and Nonlinear Physics 22 works
- 10 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 21 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 Communication University of China's research output changed?
Output in 2018–2022 was 5% 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 Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power 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.