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.
| Field | World rank | Where that sits | Top-10% rate | Works | All 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.
- Computer Science#600 #498
- Engineering#988 #990
- Physical Sciences#2,483 #2,250
- Computer Vision and Pattern Recognition#194 #203
- Artificial Intelligence#539 #582
- Control and Systems Engineering#181 #280
- Life Sciences#5,436 #3,372
- Health Sciences#6,051 #5,462
- Medicine#4,796 #4,804
- Electrical and Electronic Engineering#1,645 #1,283
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.
- Computer Vision and Pattern RecognitionSubfield · 177.5 works11×
- Control and Systems EngineeringSubfield · 118.8 works8.6×
- Artificial IntelligenceSubfield · 170.7 works5.5×
- Computer ScienceField · 463.6 works4.7×
- Ocean EngineeringSubfield · 30.6 works4.6×
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, 4.7×. Every wedge is a field page.
- Computer Science 4.7×
- Engineering 2.6×
- Neuroscience 1.7×
- Decision Sciences 1.1×
- Physics and Astronomy 0.9×
- Earth and Planetary Sciences 0.8×
- Energy 0.5×
- Psychology 0.5×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Environmental Science 0.4×
- Chemistry 0.3×
- Materials Science 0.3×
- Medicine 0.3×
- Mathematics 0.3×
- Dentistry 0.2×
- Economics, Econometrics and Finance 0.2×
- Immunology and Microbiology 0.2×
- Business, Management and Accounting 0.2×
- Agricultural and Biological Sciences 0.1×
- Chemical Engineering 0.1×
- Health Professions 0.1×
- Veterinary 0.1×
- Social Sciences 0.1×
- Arts and Humanities 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Nursing 0.0×
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 Jianqiang Yi China · #296,861 worldwide 458 citations · 137 works
- 2 Chao Zhou China · #659,995 worldwide 20 citations · 20 works
- 3 Yangsheng Wang China · #798,721 worldwide 30 citations · 15 works
- 4 Wensheng Zhang China · #799,698 worldwide 100 citations · 19 works
- 5 Hui Hui China · #952,086 worldwide 95 citations · 59 works
- 6 Hongxing Chang China · #1,013,844 worldwide 33 citations · 22 works
- 7 Jie Tian China · #1,091,050 worldwide 64 citations · 46 works
- 8 Ruyi Yuan China · #1,109,925 worldwide 51 citations · 19 works
- 9 Peng Lu China · #1,130,626 worldwide 22 citations · 17 works
- 10 Xin Yang China · #1,160,973 worldwide 45 citations · 37 works
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.
- Machine Translation
- Meta-Learning
- Path Planning
- Stability Analysis
- Sparse Representation
- Feedback Control
- Information Retrieval
- Neural Network
- Semantic Segmentation
- Image Recognition
- Semi-Supervised Learning
- Collision Avoidance
- Image Classification
- Wireless Sensor Networks
- Image Processing
- Reinforcement Learning
- Computer Vision
- Robotics
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Multi-Agent Systems
- Nonlinear Systems
- Unsupervised Learning
- Feature Extraction
- Representation Learning
- Autonomous Vehicles
- Robotic Manipulators
- Convolutional Networks
- Adaptive Control
- Object Detection
- Distributed Control
- Event-Triggered Control
- Transfer Learning
- Mobile Robots
- Text Classification
- Synchronization
- Topic Modeling
- Robust Control
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 Learning302▲ 6.9×81 topics
- Neural Networks181▲ 9.2×38 topics
- Machine Learning115▲ 2.8×79 topics
- Convolutional Neural Networks73▲ 7.8×14 topics
- Multi-Agent Systems49▲ 20×6 topics
- Robotics49▲ 16×8 topics
- Nonlinear Systems36▲ 13×7 topics
- Computer Vision33▲ 9.6×5 topics
- Unsupervised Learning33▲ 18×3 topics
- Reinforcement Learning32▲ 23×4 topics
- Feature Extraction31▲ 5.3×10 topics
- Image Processing30▲ 5.4×13 topics
- Representation Learning30▲ 17×3 topics
- Wireless Sensor Networks29▲ 5.0×19 topics
- Autonomous Vehicles27▲ 10×4 topics
- Image Classification27▲ 12×3 topics
- Robotic Manipulators26▲ 21×3 topics
- Collision Avoidance26▲ 11×4 topics
- Convolutional Networks26▲ 15×3 topics
- Semi-Supervised Learning25▲ 18×3 topics
- Adaptive Control25▲ 14×6 topics
- Image Recognition24▲ 14×2 topics
- Object Detection24▲ 15×1 topic
- Semantic Segmentation24▲ 15×1 topic
- Distributed Control23▲ 16×3 topics
- Neural Network23▲ 9.4×8 topics
- Event-Triggered Control23▲ 27×2 topics
- Information Retrieval23▲ 8.3×4 topics
- Transfer Learning23▲ 9.1×3 topics
- Feedback Control22▲ 11×8 topics
- Mobile Robots22▲ 17×3 topics
- Sparse Representation22▲ 8.8×6 topics
- Text Classification22▲ 11×2 topics
- Stability Analysis21▲ 10×4 topics
- Synchronization20▲ 13×4 topics
- Path Planning20▲ 13×3 topics
- Topic Modeling20▲ 11×3 topics
- Meta-Learning20▲ 19×2 topics
- Robust Control19▲ 20×2 topics
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 24 works
- 2 Topic Modeling Artificial Intelligence 19 works
- 3 Reinforcement Learning in Robotics Artificial Intelligence 19 works
- 4 Robotics and Sensor-Based Localization Aerospace Engineering 18 works
- 5 Domain Adaptation and Few-Shot Learning Artificial Intelligence 16 works
- 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 16 works
- 7 Fault Detection and Control Systems Control and Systems Engineering 15 works
- 8 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 15 works
- 9 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 14 works
- 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.
World: 28% of research is openly available.
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.
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
- Shandong University
- University of Jinan
- Shandong Normal University
- Qilu Hospital of Shandong University
- Shandong First Medical University
- Qilu University of Technology
- Shandong Jianzhu University
- Shandong Academy of Sciences
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.