Institute of Computing Technology
In research, Institute of Computing Technology stands highest in Computer Science (#186 of 4,667 worldwide), Artificial Intelligence (#263 of 1,884 worldwide) and Physical Sciences (#1,875 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications — Hardware and Architecture is 41.9× its share of world research.
- World rank, 2022–2025
- #2,592 of 28,054 · #3,354 all time
- Rank in China
- #665 of 3,058
- Research works
- 6.7k ▲ 20% vs 2013–17
- Citations
- 99k 14.7 per fractional work
- Top-10% rate
- 19.3% record average 16.5%
- Open access
- 19% world 28%
What is Institute of Computing 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #186 of 4,667 | 18.2% | 908 | #320 | |
| Artificial IntelligenceSubfield | #263 of 1,884 | 20.1% | 320 | #317 | |
| Physical SciencesDomain | #1,875 of 12,888 | 18.2% | 1,256 | #2530 | |
| Computer Vision and Pattern RecognitionSubfield | #199 of 941 | 19.1% | 224 | #173 | |
| EngineeringField | #1,623 of 6,636 | 17.9% | 278 | #2066 | |
| Information SystemsSubfield | #604 of 1,291 | 22.4% | 79 | #372 | |
| Computer Networks and CommunicationsSubfield | #349 of 705 | 13.2% | 123 | #401 | |
| Social SciencesDomain | #6,272 of 10,521 | 25.1% | 78 | #6666 | |
| Electrical and Electronic EngineeringSubfield | #1,388 of 2,318 | 12.2% | 101 | #1631 | |
| Hardware and ArchitectureSubfield | #34 of 40 | 10.6% | 68 | #192 |
Each strip is that field’s whole ranked pool, with the notch where Institute of Computing 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.
- Computer Science#320 #186
- Artificial Intelligence#317 #263
- Physical Sciences#2,530 #1,875
- Computer Vision and Pattern Recognition#173 #199
- Engineering#2,066 #1,623
- Information Systems#372 #604
- Computer Networks and Communications#401 #349
- Social Sciences#6,666 #6,272
- Electrical and Electronic Engineering#1,631 #1,388
- Hardware and Architecture#192 #34
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Institute of Computing Technology specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 41.9× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 67.6 works42×
- Computer Vision and Pattern RecognitionSubfield · 223.7 works12×
- Computer Networks and CommunicationsSubfield · 123.5 works9.7×
- Artificial IntelligenceSubfield · 319.6 works9.2×
- Computer ScienceField · 907.5 works8.1×
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, 8.1×. Every wedge is a field page.
- Computer Science 8.1×
- Decision Sciences 1.6×
- Engineering 1.3×
- Neuroscience 0.8×
- Physics and Astronomy 0.8×
- Mathematics 0.5×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Earth and Planetary Sciences 0.4×
- Business, Management and Accounting 0.2×
- Psychology 0.2×
- Environmental Science 0.2×
- Materials Science 0.2×
- Dentistry 0.2×
- Chemistry 0.2×
- Social Sciences 0.2×
- Health Professions 0.1×
- Medicine 0.1×
- Economics, Econometrics and Finance 0.1×
- Agricultural and Biological Sciences 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Energy 0.1×
- Immunology and Microbiology 0.1×
- Chemical Engineering 0.1×
- Nursing 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at Institute of Computing Technology?
Ranked on the composite score, Fuzhen Zhuang, Shiguang Shan and Xilin Chen lead among researchers whose main affiliation is Institute of Computing Technology.
- 1 Fuzhen Zhuang · #9,498 worldwide 1.5k citations · 54 works
- 2 Shiguang Shan · #23,969 worldwide 2.1k citations · 202 works
- 3 Xilin Chen · #26,281 worldwide 2.1k citations · 207 works
- 4 Ruiping Wang · #32,160 worldwide 611 citations · 42 works
- 5 Hu Han · #36,255 worldwide 669 citations · 71 works
- 6 Junfa Liu · #69,569 worldwide 300 citations · 36 works
- 7 Yiqiang Chen · #79,905 worldwide 874 citations · 148 works
- 8 Ninghui Sun · #113,207 worldwide 149 citations · 50 works
- 9 Yiqing Zhou · #138,297 worldwide 467 citations · 99 works
- 10 Jun Xie · #144,408 worldwide 265 citations · 26 works
Which keywords describe research at Institute of Computing 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, Representation Learning, Semi-Supervised Learning, Parallel Computing and Information Retrieval.
- Fault Tolerance
- Domain Adaptation
- Semantic Reasoning
- Knowledge Graph Embedding
- Convolutional Networks
- Object Detection
- Heterogeneous Networks
- Performance Optimization
- IoT Security
- Meta-Learning
- Word Representation
- Machine Translation
- Topic Modeling
- Big Data
- Distributed Systems
- High-Performance Computing
- Information Retrieval
- Semi-Supervised Learning
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Representation Learning
- Parallel Computing
- Unsupervised Learning
- Text Classification
- Security
- Graph Convolutional Networks
- Image Classification
- Semantic Similarity
- Computer Vision
- Transfer Learning
- GPU Computing
- Anomaly Detection
- Image Recognition
- Resource Management
- Graph Neural Networks
- Cloud Computing
- Visual Question Answering
- Few-Shot Learning
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 Learning414▲ 8.4×80 topics
- Neural Networks212▲ 9.6×36 topics
- Machine Learning155▲ 3.3×75 topics
- Convolutional Neural Networks81▲ 7.8×14 topics
- Representation Learning70▲ 35×3 topics
- Semi-Supervised Learning60▲ 38×3 topics
- Parallel Computing52▲ 31×5 topics
- Information Retrieval50▲ 16×5 topics
- Unsupervised Learning50▲ 25×3 topics
- High-Performance Computing47▲ 39×2 topics
- Text Classification45▲ 20×3 topics
- Distributed Systems44▲ 19×6 topics
- Security44▲ 4.8×18 topics
- Big Data43▲ 3.3×23 topics
- Graph Convolutional Networks40▲ 25×2 topics
- Topic Modeling39▲ 19×3 topics
- Image Classification39▲ 16×3 topics
- Machine Translation38▲ 16×2 topics
- Semantic Similarity38▲ 22×1 topic
- Word Representation38▲ 22×1 topic
- Computer Vision37▲ 9.6×4 topics
- Meta-Learning36▲ 31×2 topics
- Transfer Learning35▲ 13×3 topics
- IoT Security35▲ 7.6×3 topics
- GPU Computing34▲ 64×1 topic
- Performance Optimization34▲ 38×1 topic
- Anomaly Detection33▲ 7.9×5 topics
- Heterogeneous Networks33▲ 24×2 topics
- Image Recognition33▲ 17×1 topic
- Object Detection33▲ 18×1 topic
- Resource Management32▲ 13×3 topics
- Convolutional Networks30▲ 15×3 topics
- Graph Neural Networks29▲ 44×1 topic
- Knowledge Graph Embedding29▲ 44×1 topic
- Cloud Computing29▲ 7.3×10 topics
- Semantic Reasoning27▲ 24×2 topics
- Visual Question Answering27▲ 24×2 topics
- Domain Adaptation27▲ 37×1 topic
- Few-Shot Learning27▲ 37×1 topic
- Fault Tolerance26▲ 12×7 topics
Which research topics does Institute of Computing Technology publish most on?
By volume in 2022–2025: Topic Modeling, Parallel Computing and Optimization Techniques, Advanced Neural Network Applications and Advanced Graph Neural Networks.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 38 works
- 2 Parallel Computing and Optimization Techniques Hardware and Architecture 34 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 33 works
- 4 Advanced Graph Neural Networks Artificial Intelligence 29 works
- 5 Domain Adaptation and Few-Shot Learning Artificial Intelligence 27 works
- 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 25 works
- 7 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 20 works
- 8 Cloud Computing and Resource Management Information Systems 19 works
- 9 Natural Language Processing Techniques Artificial Intelligence 18 works
- 10 Anomaly Detection Techniques and Applications Artificial Intelligence 16 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 Institute of Computing Technology's research output changed?
Output in 2018–2022 was 20% 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.