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Research facility · Jinan · China

Shandong Institute of Automation

In research, Shandong Institute of Automation stands highest in Computer Science (#498 of 4,667 worldwide), Engineering (#990 of 6,636 worldwide) and Physical Sciences (#2,250 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence — Computer Vision and Pattern Recognition is 11.0× its share of world research.

World rank, 2022–2025
#2,895
of 28,054 · #3,322 all time
Rank in China
#722
of 3,058
Research works
6k
▲ 37% vs 2013–17
Citations
111k
18.6 per fractional work
Top-10% rate
22.3%
record average 16.5%
Open access
14%
world 28%

What is Shandong 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 #498 of 4,667 21.4%464 #600
EngineeringField #990 of 6,636 20.1%503 #988
Physical SciencesDomain #2,250 of 12,888 20.7%1,059 #2483
Computer Vision and Pattern RecognitionSubfield #203 of 941 20.5%177 #194
Artificial IntelligenceSubfield #582 of 1,884 21.4%171 #539
Control and Systems EngineeringSubfield #280 of 793 14.7%119 #181
Life SciencesDomain #3,372 of 7,800 27.0%75 #5436
Health SciencesDomain #5,462 of 11,982 29.3%80 #6051
MedicineField #4,804 of 10,443 29.5%75 #4796
Electrical and Electronic EngineeringSubfield #1,283 of 2,318 16.1%77 #1645

Each strip is that field’s whole ranked pool, with the notch where Shandong 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#600 #498
  2. Engineering#988 #990
  3. Physical Sciences#2,483 #2,250
  4. Computer Vision and Pattern Recognition#194 #203
  5. Artificial Intelligence#539 #582
  6. Control and Systems Engineering#181 #280
  7. Life Sciences#5,436 #3,372
  8. Health Sciences#6,051 #5,462
  9. Medicine#4,796 #4,804
  10. Electrical and Electronic Engineering#1,645 #1,283
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 Shandong Institute of Automation specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 11.0× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 177.5 works11×
  2. Control and Systems EngineeringSubfield · 118.8 works8.6×
  3. Artificial IntelligenceSubfield · 170.7 works5.5×
  4. Computer ScienceField · 463.6 works4.7×
  5. Ocean EngineeringSubfield · 30.6 works4.6×
← 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: 0.15× its world share, 9 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.41× its world share, 28 worksBiochemistry, Geneti…Immunology and Microbiology: 0.18× its world share, 2 worksImmunology and Micro…Neuroscience: 1.71× its world share, 35 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.05× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.14× its world share, 1 worksChemical EngineeringChemistry: 0.30× its world share, 6 worksChemistryComputer Science: 4.67× its world share, 464 worksComputer ScienceEarth and Planetary Sciences: 0.84× its world share, 17 worksEarth and Planetary …Energy: 0.47× its world share, 6 worksEnergyEngineering: 2.63× its world share, 502 worksEngineeringEnvironmental Science: 0.36× its world share, 23 worksEnvironmental ScienceMaterials Science: 0.30× its world share, 13 worksMaterials ScienceMathematics: 0.27× its world share, 4 worksMathematicsPhysics and Astronomy: 0.86× its world share, 24 worksPhysics and AstronomyDentistry: 0.20× its world share, 1 worksDentistryHealth Professions: 0.12× its world share, 4 worksHealth ProfessionsMedicine: 0.30× its world share, 75 worksMedicineNursing: 0.01× its world share, 0 worksNursingVeterinary: 0.10× its world share, 0 worksVeterinaryArts and Humanities: 0.06× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 0.16× its world share, 7 worksBusiness, Management…Decision Sciences: 1.12× its world share, 14 worksDecision SciencesEconomics, Econometrics and Finance: 0.20× its world share, 5 worksEconomics, Econometr…Psychology: 0.46× its world share, 18 worksPsychologySocial Sciences: 0.09× 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, 4.7×. Every wedge is a field page.

Who are the top researchers at Shandong Institute of Automation?

Ranked on the composite score, Jianqiang Yi, Chao Zhou and Yangsheng Wang lead among researchers whose main affiliation is Shandong Institute of Automation.

  1. 1 Jianqiang Yi China · #296,861 worldwide 458 citations · 137 works
  2. 2 Chao Zhou China · #659,995 worldwide 20 citations · 20 works
  3. 3 Yangsheng Wang China · #798,721 worldwide 30 citations · 15 works
  4. 4 Wensheng Zhang China · #799,698 worldwide 100 citations · 19 works
  5. 5 Hui Hui China · #952,086 worldwide 95 citations · 59 works
  6. 6 Hongxing Chang China · #1,013,844 worldwide 33 citations · 22 works
  7. 7 Jie Tian China · #1,091,050 worldwide 64 citations · 46 works
  8. 8 Ruyi Yuan China · #1,109,925 worldwide 51 citations · 19 works
  9. 9 Peng Lu China · #1,130,626 worldwide 22 citations · 17 works
  10. 10 Xin Yang China · #1,160,973 worldwide 45 citations · 37 works
All ranked researchers at Shandong Institute of Automation

Which keywords describe research at Shandong 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, Machine Learning, Multi-Agent Systems, Robotics, Nonlinear Systems and Computer Vision.

▲ 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 Learning302▲ 6.9×81 topics
  2. Neural Networks181▲ 9.2×38 topics
  3. Machine Learning115▲ 2.8×79 topics
  4. Convolutional Neural Networks73▲ 7.8×14 topics
  5. Multi-Agent Systems49▲ 20×6 topics
  6. Robotics49▲ 16×8 topics
  7. Nonlinear Systems36▲ 13×7 topics
  8. Computer Vision33▲ 9.6×5 topics
  9. Unsupervised Learning33▲ 18×3 topics
  10. Reinforcement Learning32▲ 23×4 topics
  11. Feature Extraction31▲ 5.3×10 topics
  12. Image Processing30▲ 5.4×13 topics
  13. Representation Learning30▲ 17×3 topics
  14. Wireless Sensor Networks29▲ 5.0×19 topics
  15. Autonomous Vehicles27▲ 10×4 topics
  16. Image Classification27▲ 12×3 topics
  17. Robotic Manipulators26▲ 21×3 topics
  18. Collision Avoidance26▲ 11×4 topics
  19. Convolutional Networks26▲ 15×3 topics
  20. Semi-Supervised Learning25▲ 18×3 topics
  21. Adaptive Control25▲ 14×6 topics
  22. Image Recognition24▲ 14×2 topics
  23. Object Detection24▲ 15×1 topic
  24. Semantic Segmentation24▲ 15×1 topic
  25. Distributed Control23▲ 16×3 topics
  26. Neural Network23▲ 9.4×8 topics
  27. Event-Triggered Control23▲ 27×2 topics
  28. Information Retrieval23▲ 8.3×4 topics
  29. Transfer Learning23▲ 9.1×3 topics
  30. Feedback Control22▲ 11×8 topics
  31. Mobile Robots22▲ 17×3 topics
  32. Sparse Representation22▲ 8.8×6 topics
  33. Text Classification22▲ 11×2 topics
  34. Stability Analysis21▲ 10×4 topics
  35. Synchronization20▲ 13×4 topics
  36. Path Planning20▲ 13×3 topics
  37. Topic Modeling20▲ 11×3 topics
  38. Meta-Learning20▲ 19×2 topics
  39. Robust Control19▲ 20×2 topics
  40. Machine Translation19▲ 9.0×1 topic

Which research topics does Shandong Institute of Automation publish most on?

By volume in 2022–2025: Advanced Neural Network Applications, Topic Modeling, Reinforcement Learning in Robotics and Robotics and Sensor-Based Localization.

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 24 works
  2. 2 Topic Modeling Artificial Intelligence 19 works
  3. 3 Reinforcement Learning in Robotics Artificial Intelligence 19 works
  4. 4 Robotics and Sensor-Based Localization Aerospace Engineering 18 works
  5. 5 Domain Adaptation and Few-Shot Learning Artificial Intelligence 16 works
  6. 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 16 works
  7. 7 Fault Detection and Control Systems Control and Systems Engineering 15 works
  8. 8 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 15 works
  9. 9 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 14 works
  10. 10 Anomaly Detection Techniques and Applications Artificial Intelligence 14 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 available14.1%not open85.9%

World: 28% of research is openly available.

with international co-authors17.3%domestic only82.7%

World: 19% is written across borders.

How has Shandong Institute of Automation's research output changed?

Output in 2018–2022 was 37% 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 Jinan

All research institutions in Jinan

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.