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Research facility · Hefei · China

Institute of Intelligent Machines

In research, Institute of Intelligent Machines stands highest in Physical Sciences (#7,144 of 12,888 worldwide) and Engineering (#4,500 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition — Computer Vision and Pattern Recognition is 10.1× its share of world research.

english.iim.cas.cn/au/biROR OpenAlex
World rank, 2022–2025
#10,936
of 28,054 · #6,397 all time
Rank in China
#1,959
of 3,058
Research works
1.3k
▼ 17% vs 2013–17
Citations
29k
22.8 per fractional work
Top-10% rate
23.2%
record average 16.5%
Open access
15%
world 28%

What is Institute of Intelligent Machines 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
Physical SciencesDomain #7,144 of 12,888 20.0%159 #4186
EngineeringField #4,500 of 6,636 19.0%79 #4815

Each strip is that field’s whole ranked pool, with the notch where Institute of Intelligent Machines 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).

What does Institute of Intelligent Machines specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 10.1× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 26.5 works10×
← 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: 1.53× its world share, 15 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.69× its world share, 8 worksBiochemistry, Geneti…Immunology and Microbiology: 0.21× its world share, 0 worksImmunology and Micro…Neuroscience: 1.16× its world share, 4 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.34× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 1.05× its world share, 1 worksChemical EngineeringChemistry: 1.73× its world share, 6 worksChemistryComputer Science: 2.80× its world share, 45 worksComputer ScienceEarth and Planetary Sciences: 0.52× its world share, 2 worksEarth and Planetary …Energy: 1.52× its world share, 3 worksEnergyEngineering: 2.54× its world share, 80 worksEngineeringEnvironmental Science: 0.96× its world share, 10 worksEnvironmental ScienceMaterials Science: 1.41× its world share, 10 worksMaterials ScienceMathematics: 0.11× its world share, 0 worksMathematicsPhysics and Astronomy: 0.49× its world share, 2 worksPhysics and AstronomyDentistry: 0.07× its world share, 0 worksDentistryHealth Professions: 0.07× its world share, 0 worksHealth ProfessionsMedicine: 0.39× its world share, 16 worksMedicineNursing: 1.28× its world share, 1 worksNursingVeterinary: 1.19× its world share, 0 worksVeterinaryArts and Humanities: 0.01× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.09× its world share, 1 worksBusiness, Management…Decision Sciences: 0.56× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.12× its world share, 1 worksEconomics, Econometr…Psychology: 0.29× its world share, 2 worksPsychologySocial Sciences: 0.02× its world share, 0 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 2.8×. Every wedge is a field page.

Who are the top researchers at Institute of Intelligent Machines?

Ranked on the composite score, De-Shuang Huang, Jie Gui and Chengjun Xie lead among researchers whose main affiliation is Institute of Intelligent Machines.

  1. 1 De-Shuang Huang China · #18,121 worldwide 796 citations · 84 works
  2. 2 Jie Gui China · #146,377 worldwide 228 citations · 38 works
  3. 3 Chengjun Xie China · #407,141 worldwide 120 citations · 24 works
  4. 4 Rujing Wang China · #473,352 worldwide 201 citations · 64 works
  5. 5 Bingyu Sun China · #488,177 worldwide 127 citations · 43 works
  6. 6 Yunjian Ge China · #862,135 worldwide 69 citations · 60 works
  7. 7 Jianming Du China · #1,019,138 worldwide 62 citations · 25 works
  8. 8 Erkang Cheng China · #1,045,573 worldwide 58 citations · 25 works
  9. 9 Tao Mei China · #1,210,624 worldwide 30 citations · 25 works
  10. 10 Quanjun Song China · #1,221,079 worldwide 21 citations · 19 works
All ranked researchers at Institute of Intelligent Machines

Which keywords describe research at Institute of Intelligent Machines?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Convolutional Neural Networks, Neural Networks, Machine Learning, Image Processing, Computer Vision, Environmental Monitoring and Wireless Sensor 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 Learning48▲ 6.7×66 topics
  2. Machine Learning19▲ 2.8×42 topics
  3. Neural Networks16▲ 5.0×29 topics
  4. Convolutional Neural Networks14▲ 8.8×13 topics
  5. Image Processing12▲ 12×8 topics
  6. Computer Vision9▲ 16×4 topics
  7. Environmental Monitoring9▲ 11×5 topics
  8. Biomedical Applications9▲ 3.5×20 topics
  9. Wireless Sensor Networks8▲ 8.9×8 topics
  10. Remote Sensing8▲ 3.1×19 topics
  11. Plant Disease Detection7▲ 32×1 topic
  12. Smart Farming7▲ 29×1 topic
  13. Image Classification7▲ 19×2 topics
  14. Image Recognition6▲ 23×1 topic
  15. Object Detection6▲ 24×1 topic
  16. Machine Vision6▲ 12×4 topics
  17. Nanomaterials5▲ 2.2×12 topics
  18. Electric Vehicles4▲ 6.7×4 topics
  19. Sparse Representation4▲ 10×6 topics
  20. Convolutional Networks4▲ 14×3 topics
  21. Hyperspectral Imaging4▲ 6.4×6 topics
  22. Robotics4▲ 7.2×5 topics
  23. Texture Analysis4▲ 7.5×3 topics
  24. Unsupervised Learning4▲ 12×3 topics
  25. Feature Extraction3▲ 3.5×9 topics
  26. Autonomous Vehicles3▲ 7.1×4 topics
  27. Robotic Manipulators3▲ 15×3 topics
  28. Tool Wear3▲ 11×3 topics
  29. Wavelet Transform3▲ 6.2×5 topics
  30. Depth Estimation3▲ 15×2 topics
  31. Soft Robotics3▲ 17×2 topics
  32. Representation Learning3▲ 9.0×3 topics
  33. Collision Avoidance2▲ 6.5×4 topics
  34. Real-time Tracking2▲ 12×2 topics
  35. Fabric Defect Detection2▲ 14×1 topic
  36. Object Recognition2▲ 15×2 topics
  37. Semiconductor Manufacturing2▲ 14×1 topic
  38. Surface Roughness2▲ 8.3×4 topics
  39. Bioinspired Robotics2▲ 30×1 topic
  40. Continuum Robots2▲ 30×1 topic

Which research topics does Institute of Intelligent Machines publish most on?

By volume in 2022–2025: Smart Agriculture and AI, Advanced Neural Network Applications, Industrial Vision Systems and Defect Detection and Soft Robotics and Applications.

Smart Agriculture and AI7Smart Agriculture and AI: 7 fractional worksAdvanced Neural Network …6Advanced Neural Network Applications: 6 fractional worksIndustrial Vision Systems and Defect Detection: 2 fractional worksSoft Robotics and Applications: 2 fractional worksAdvanced Image and Video Retrieval Techniques: 2 fractional worksSpectroscopy and Chemometric Analyses: 2 fractional worksRobot Manipulation and Learning: 2 fractional worksAdvanced Sensor and Energy Harvesting Materials: 2 fractional worksAdvanced machining processes and optimization: 2 fractional worksVideo Surveillance and Tracking Methods: 2 fractional works
Plant ScienceComputer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringBiomedical Engineering3 others

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

  1. 1 Smart Agriculture and AI Plant Science 7 works
  2. 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 6 works
  3. 3 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 2 works
  4. 4 Soft Robotics and Applications Biomedical Engineering 2 works
  5. 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 2 works
  6. 6 Spectroscopy and Chemometric Analyses Analytical Chemistry 2 works
  7. 7 Robot Manipulation and Learning Control and Systems Engineering 2 works
  8. 8 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 2 works
  9. 9 Advanced machining processes and optimization Mechanical Engineering 2 works
  10. 10 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 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 available14.7%not open85.3%

World: 28% of research is openly available.

with international co-authors18.1%domestic only81.9%

World: 19% is written across borders.

How has Institute of Intelligent Machines's research output changed?

Output in 2018–2022 was 17% lower 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 Hefei

All research institutions in Hefei

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.