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Research facility · Beijing · China

Institute of Automation

In research, Institute of Automation stands highest in Computer Science (#305 of 4,667 worldwide), Computer Vision and Pattern Recognition (#130 of 941 worldwide) and Physical Sciences (#2,296 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence — Computer Vision and Pattern Recognition is 18.1× its share of world research.

english.ia.cas.cn/auROR OpenAlex
World rank, 2022–2025
#3,142
of 28,054 · #4,116 all time
Rank in China
#780
of 3,058
Research works
4.4k
▲ 9% vs 2013–17
Citations
113k
25.5 per fractional work
Top-10% rate
26.6%
record average 16.5%
Open access
16%
world 28%

What is Institute of Automation 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 #305 of 4,667 25.9%542 #437
Computer Vision and Pattern RecognitionSubfield #130 of 941 24.8%247 #103
Physical SciencesDomain #2,296 of 12,888 25.4%878 #2945
EngineeringField #1,245 of 6,636 24.1%290 #1799
Artificial IntelligenceSubfield #393 of 1,884 24.9%188 #488
Life SciencesDomain #4,366 of 7,800 32.2%84 #6887
Control and Systems EngineeringSubfield #446 of 793 18.6%63 #513
Social SciencesDomain #5,967 of 10,521 33.3%64 #7629
Health SciencesDomain #8,724 of 11,982 29.5%61 #12235

Each strip is that field’s whole ranked pool, with the notch where Institute of Automation 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#437 #305
  2. Computer Vision and Pattern Recognition#103 #130
  3. Physical Sciences#2,945 #2,296
  4. Engineering#1,799 #1,245
  5. Artificial Intelligence#488 #393
  6. Life Sciences#6,887 #4,366
  7. Control and Systems Engineering#513 #446
  8. Social Sciences#7,629 #5,967
  9. Health Sciences#12,235 #8,724
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 Automation specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 18.1× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 247.4 works18×
  2. Signal ProcessingSubfield · 29.4 works8.9×
  3. Artificial IntelligenceSubfield · 188.3 works7.2×
  4. Computer ScienceField · 542.0 works6.4×
  5. Cognitive NeuroscienceSubfield · 45.5 works5.7×
  6. Control and Systems EngineeringSubfield · 63.0 works5.3×
← less than its size predicts1×more →

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: 0.14× its world share, 7 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.33× its world share, 19 worksBiochemistry, Geneti…Immunology and Microbiology: 0.08× its world share, 1 worksImmunology and Micro…Neuroscience: 3.22× its world share, 57 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.03× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.04× its world share, 0 worksChemical EngineeringChemistry: 0.06× its world share, 1 worksChemistryComputer Science: 6.41× its world share, 542 worksComputer ScienceEarth and Planetary Sciences: 0.65× its world share, 11 worksEarth and Planetary …Energy: 0.14× its world share, 1 worksEnergyEngineering: 1.78× its world share, 290 worksEngineeringEnvironmental Science: 0.23× its world share, 13 worksEnvironmental ScienceMaterials Science: 0.14× its world share, 5 worksMaterials ScienceMathematics: 0.21× its world share, 3 worksMathematicsPhysics and Astronomy: 0.51× its world share, 12 worksPhysics and AstronomyDentistry: 0.19× its world share, 1 worksDentistryHealth Professions: 0.12× its world share, 3 worksHealth ProfessionsMedicine: 0.27× its world share, 56 worksMedicineNursing: 0.01× its world share, 0 worksNursingVeterinary: 0.08× its world share, 0 worksVeterinaryArts and Humanities: 0.05× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 0.17× its world share, 6 worksBusiness, Management…Decision Sciences: 1.40× its world share, 15 worksDecision SciencesEconomics, Econometrics and Finance: 0.16× its world share, 4 worksEconomics, Econometr…Psychology: 0.69× its world share, 23 worksPsychologySocial Sciences: 0.11× its world share, 15 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.4×. Every wedge is a field page.

Who are the top researchers at Institute of Automation?

Ranked on the composite score, Cheng‐Lin Liu, Zhang Zhang and Zhanyi Hu lead among researchers whose main affiliation is Institute of Automation.

  1. 1 Cheng‐Lin Liu China · #9,814 worldwide 1.9k citations · 144 works
  2. 2 Zhang Zhang China · #119,547 worldwide 301 citations · 32 works
  3. 3 Zhanyi Hu China · #182,855 worldwide 280 citations · 57 works
  4. 4 Bin Liu China · #218,701 worldwide 170 citations · 34 works
  5. 5 Hantao Yao China · #291,282 worldwide 177 citations · 20 works
  6. 6 Bao-Gang Hu China · #359,400 worldwide 327 citations · 73 works
  7. 7 Weiming Dong China · #417,415 worldwide 197 citations · 45 works
  8. 8 Qi Li China · #433,440 worldwide 196 citations · 49 works
  9. 9 Xiaopeng Zhang China · #499,795 worldwide 310 citations · 99 works
  10. 10 Shengsheng Qian China · #510,908 worldwide 143 citations · 36 works
All ranked researchers at Institute of Automation

Which keywords describe research at Institute of Automation?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Representation Learning, Machine Learning, Robotics and Convolutional Networks.

▲ 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 Learning389▲ 10×79 topics
  2. Neural Networks208▲ 12×36 topics
  3. Convolutional Neural Networks94▲ 12×14 topics
  4. Machine Learning88▲ 2.5×75 topics
  5. Unsupervised Learning57▲ 37×3 topics
  6. Representation Learning52▲ 34×3 topics
  7. Robotics42▲ 16×7 topics
  8. Convolutional Networks40▲ 26×3 topics
  9. Semi-Supervised Learning38▲ 32×3 topics
  10. Reinforcement Learning36▲ 30×4 topics
  11. Computer Vision35▲ 12×4 topics
  12. Feature Extraction35▲ 7.0×10 topics
  13. Transfer Learning35▲ 17×3 topics
  14. Multi-Agent Systems32▲ 16×6 topics
  15. Image Classification32▲ 17×3 topics
  16. Semantic Reasoning32▲ 36×2 topics
  17. Visual Question Answering32▲ 36×2 topics
  18. Image Captioning31▲ 58×1 topic
  19. Meta-Learning31▲ 35×2 topics
  20. Multimodal Fusion31▲ 58×1 topic
  21. Pose Estimation30▲ 25×3 topics
  22. Image Recognition30▲ 21×1 topic
  23. Object Detection30▲ 22×1 topic
  24. Security30▲ 4.2×16 topics
  25. Information Retrieval28▲ 12×4 topics
  26. Domain Adaptation28▲ 50×1 topic
  27. Few-Shot Learning28▲ 50×1 topic
  28. Text Classification27▲ 16×3 topics
  29. Topic Modeling24▲ 15×3 topics
  30. Autonomous Vehicles24▲ 10×4 topics
  31. Machine Translation23▲ 13×1 topic
  32. Object Recognition23▲ 29×2 topics
  33. Word Representation23▲ 18×1 topic
  34. Sparse Representation23▲ 11×6 topics
  35. Feature Matching22▲ 33×1 topic
  36. Local Descriptors22▲ 33×1 topic
  37. Generative Adversarial Networks22▲ 25×2 topics
  38. Collision Avoidance22▲ 11×4 topics
  39. Depth Estimation20▲ 22×2 topics
  40. Real-time Tracking20▲ 18×2 topics

Which research topics does Institute of Automation publish most on?

By volume in 2022–2025: Multimodal Machine Learning Applications, Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning and Topic Modeling.

Multimodal Machine Learn…31Multimodal Machine Learning Applications: 31 fractional worksAdvanced Neural Network …30Advanced Neural Network Applications: 30 fractional worksDomain Adaptation and Fe…28Domain Adaptation and Few-Shot Learning: 28 fractional worksTopic Modeling23Topic Modeling: 23 fractional worksAdvanced Image and Video Retrieval Techniques: 22 fractional worksReinforcement Learning in Robotics: 19 fractional worksHuman Pose and Action Re…17Human Pose and Action Recognition: 17 fractional worksVideo Surveillance and Tracking Methods: 15 fractional worksEEG and Brain-Computer Interfaces: 15 fractional worksAdvanced Vision and Imag…15Advanced Vision and Imaging: 15 fractional works
Computer Vision and Pattern RecognitionArtificial IntelligenceCognitive Neuroscience

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 31 works
  2. 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 30 works
  3. 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 28 works
  4. 4 Topic Modeling Artificial Intelligence 23 works
  5. 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 22 works
  6. 6 Reinforcement Learning in Robotics Artificial Intelligence 19 works
  7. 7 Human Pose and Action Recognition Computer Vision and Pattern Recognition 17 works
  8. 8 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 15 works
  9. 9 EEG and Brain-Computer Interfaces Cognitive Neuroscience 15 works
  10. 10 Advanced Vision and Imaging Computer Vision and Pattern Recognition 15 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 available15.9%not open84.1%

World: 28% of research is openly available.

with international co-authors17.1%domestic only82.9%

World: 19% is written across borders.

How has Institute of Automation's research output changed?

Output in 2018–2022 was 9% 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.