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Research facility · Beijing · China

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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Computer Science#320 #186
  2. Artificial Intelligence#317 #263
  3. Physical Sciences#2,530 #1,875
  4. Computer Vision and Pattern Recognition#173 #199
  5. Engineering#2,066 #1,623
  6. Information Systems#372 #604
  7. Computer Networks and Communications#401 #349
  8. Social Sciences#6,666 #6,272
  9. Electrical and Electronic Engineering#1,631 #1,388
  10. Hardware and Architecture#192 #34
all time2022–2025, better2022–2025, worse

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.

  1. Hardware and ArchitectureSubfield · 67.6 works42×
  2. Computer Vision and Pattern RecognitionSubfield · 223.7 works12×
  3. Computer Networks and CommunicationsSubfield · 123.5 works9.7×
  4. Artificial IntelligenceSubfield · 319.6 works9.2×
  5. Computer ScienceField · 907.5 works8.1×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 0.08× its world share, 5 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.39× its world share, 30 worksBiochemistry, Geneti…Immunology and Microbiology: 0.07× its world share, 1 worksImmunology and Micro…Neuroscience: 0.77× its world share, 18 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.08× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.07× its world share, 0 worksChemical EngineeringChemistry: 0.16× its world share, 4 worksChemistryComputer Science: 8.14× its world share, 908 worksComputer ScienceEarth and Planetary Sciences: 0.38× its world share, 8 worksEarth and Planetary …Energy: 0.08× its world share, 1 worksEnergyEngineering: 1.29× its world share, 278 worksEngineeringEnvironmental Science: 0.21× its world share, 15 worksEnvironmental ScienceMaterials Science: 0.21× its world share, 11 worksMaterials ScienceMathematics: 0.45× its world share, 8 worksMathematicsPhysics and Astronomy: 0.75× its world share, 24 worksPhysics and AstronomyDentistry: 0.19× its world share, 1 worksDentistryHealth Professions: 0.15× its world share, 6 worksHealth ProfessionsMedicine: 0.14× its world share, 38 worksMedicineNursing: 0.04× its world share, 0 worksNursingArts and Humanities: 0.03× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.24× its world share, 11 worksBusiness, Management…Decision Sciences: 1.61× its world share, 22 worksDecision SciencesEconomics, Econometrics and Finance: 0.13× its world share, 4 worksEconomics, Econometr…Psychology: 0.23× its world share, 10 worksPsychologySocial Sciences: 0.16× its world share, 30 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 8.1×. Every wedge is a field page.

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. 1 Fuzhen Zhuang · #9,498 worldwide 1.5k citations · 54 works
  2. 2 Shiguang Shan · #23,969 worldwide 2.1k citations · 202 works
  3. 3 Xilin Chen · #26,281 worldwide 2.1k citations · 207 works
  4. 4 Ruiping Wang · #32,160 worldwide 611 citations · 42 works
  5. 5 Hu Han · #36,255 worldwide 669 citations · 71 works
  6. 6 Junfa Liu · #69,569 worldwide 300 citations · 36 works
  7. 7 Yiqiang Chen · #79,905 worldwide 874 citations · 148 works
  8. 8 Ninghui Sun · #113,207 worldwide 149 citations · 50 works
  9. 9 Yiqing Zhou · #138,297 worldwide 467 citations · 99 works
  10. 10 Jun Xie · #144,408 worldwide 265 citations · 26 works
All ranked researchers at Institute of Computing Technology

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Deep Learning414▲ 8.4×80 topics
  2. Neural Networks212▲ 9.6×36 topics
  3. Machine Learning155▲ 3.3×75 topics
  4. Convolutional Neural Networks81▲ 7.8×14 topics
  5. Representation Learning70▲ 35×3 topics
  6. Semi-Supervised Learning60▲ 38×3 topics
  7. Parallel Computing52▲ 31×5 topics
  8. Information Retrieval50▲ 16×5 topics
  9. Unsupervised Learning50▲ 25×3 topics
  10. High-Performance Computing47▲ 39×2 topics
  11. Text Classification45▲ 20×3 topics
  12. Distributed Systems44▲ 19×6 topics
  13. Security44▲ 4.8×18 topics
  14. Big Data43▲ 3.3×23 topics
  15. Graph Convolutional Networks40▲ 25×2 topics
  16. Topic Modeling39▲ 19×3 topics
  17. Image Classification39▲ 16×3 topics
  18. Machine Translation38▲ 16×2 topics
  19. Semantic Similarity38▲ 22×1 topic
  20. Word Representation38▲ 22×1 topic
  21. Computer Vision37▲ 9.6×4 topics
  22. Meta-Learning36▲ 31×2 topics
  23. Transfer Learning35▲ 13×3 topics
  24. IoT Security35▲ 7.6×3 topics
  25. GPU Computing34▲ 64×1 topic
  26. Performance Optimization34▲ 38×1 topic
  27. Anomaly Detection33▲ 7.9×5 topics
  28. Heterogeneous Networks33▲ 24×2 topics
  29. Image Recognition33▲ 17×1 topic
  30. Object Detection33▲ 18×1 topic
  31. Resource Management32▲ 13×3 topics
  32. Convolutional Networks30▲ 15×3 topics
  33. Graph Neural Networks29▲ 44×1 topic
  34. Knowledge Graph Embedding29▲ 44×1 topic
  35. Cloud Computing29▲ 7.3×10 topics
  36. Semantic Reasoning27▲ 24×2 topics
  37. Visual Question Answering27▲ 24×2 topics
  38. Domain Adaptation27▲ 37×1 topic
  39. Few-Shot Learning27▲ 37×1 topic
  40. 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.

  1. 1 Topic Modeling Artificial Intelligence 38 works
  2. 2 Parallel Computing and Optimization Techniques Hardware and Architecture 34 works
  3. 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 33 works
  4. 4 Advanced Graph Neural Networks Artificial Intelligence 29 works
  5. 5 Domain Adaptation and Few-Shot Learning Artificial Intelligence 27 works
  6. 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 25 works
  7. 7 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 20 works
  8. 8 Cloud Computing and Resource Management Information Systems 19 works
  9. 9 Natural Language Processing Techniques Artificial Intelligence 18 works
  10. 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.

openly available18.8%not open81.2%

World: 28% of research is openly available.

with international co-authors15.9%domestic only84.1%

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.

1990200020102020
grewheldshrank

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

All research institutions in Beijing

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.