Beijing Academy of Artificial Intelligence
In research, Beijing Academy of Artificial Intelligence stands highest in Computer Science (#87 of 4,667 worldwide), Computer Vision and Pattern Recognition (#39 of 941 worldwide) and Artificial Intelligence (#96 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 13.1× its share of world research.
- World rank, 2022–2025
- #1,183 of 28,054 · #4,036 all time
- Rank in China
- #369 of 3,058
- Research works
- 3.2k ▲ 1518% vs 2013–17
- Citations
- 41k 12.7 per fractional work
- Top-10% rate
- 27.9% record average 16.5%
- Open access
- 33% world 28%
What is Beijing Academy of Artificial Intelligence 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 | #87 of 4,667 | 27.5% | 977 | #569 | |
| Computer Vision and Pattern RecognitionSubfield | #39 of 941 | 29.1% | 359 | #193 | |
| Artificial IntelligenceSubfield | #96 of 1,884 | 26.2% | 408 | #457 | |
| Physical SciencesDomain | #899 of 12,888 | 26.9% | 1,701 | #3117 | |
| EngineeringField | #626 of 6,636 | 26.0% | 560 | #2111 | |
| MedicineField | #2,322 of 10,443 | 32.6% | 162 | #6437 | |
| Control and Systems EngineeringSubfield | #177 of 793 | 25.4% | 116 | #877 | |
| Life SciencesDomain | #1,895 of 7,800 | 30.4% | 164 | #5292 | |
| Health SciencesDomain | #3,041 of 11,982 | 32.0% | 176 | #8179 | |
| Biochemistry, Genetics and Molecular BiologyField | #1,090 of 3,579 | 31.9% | 73 | — |
Each strip is that field’s whole ranked pool, with the notch where Beijing Academy of Artificial Intelligence 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#569 #87
- Computer Vision and Pattern Recognition#193 #39
- Artificial Intelligence#457 #96
- Physical Sciences#3,117 #899
- Engineering#2,111 #626
- Medicine#6,437 #2,322
- Control and Systems Engineering#877 #177
- Life Sciences#5,292 #1,895
- Health Sciences#8,179 #3,041
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Beijing Academy of Artificial Intelligence specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 13.1× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 358.6 works13×
- Artificial IntelligenceSubfield · 408.1 works7.8×
- Computer ScienceField · 977.4 works5.8×
- Signal ProcessingSubfield · 35.9 works5.5×
- Control and Systems EngineeringSubfield · 115.8 works4.9×
- Media TechnologySubfield · 30.0 works4.4×
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, 5.8×. Every wedge is a field page.
- Computer Science 5.8×
- Neuroscience 2.1×
- Engineering 1.7×
- Decision Sciences 1.2×
- Earth and Planetary Sciences 0.8×
- Physics and Astronomy 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Psychology 0.5×
- Environmental Science 0.5×
- Mathematics 0.4×
- Medicine 0.4×
- Materials Science 0.3×
- Veterinary 0.3×
- Chemical Engineering 0.3×
- Chemistry 0.3×
- Economics, Econometrics and Finance 0.3×
- Energy 0.2×
- Health Professions 0.2×
- Immunology and Microbiology 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Business, Management and Accounting 0.1×
- Social Sciences 0.1×
- Agricultural and Biological Sciences 0.1×
- Dentistry 0.1×
- Nursing 0.1×
- Arts and Humanities 0.0×
Who are the top researchers at Beijing Academy of Artificial Intelligence?
Ranked on the composite score, Siyuan Huang, Yu Lu and Baoxiong Jia lead among researchers whose main affiliation is Beijing Academy of Artificial Intelligence.
- 1 Siyuan Huang China · #387,666 worldwide 210 citations · 48 works
- 2 Yu Lu China · #535,309 worldwide 115 citations · 38 works
- 3 Baoxiong Jia China · #628,192 worldwide 106 citations · 26 works
- 4 Pinlong Cai China · #819,072 worldwide 50 citations · 21 works
- 5 Hangxin Liu China · #1,185,536 worldwide 50 citations · 28 works
- 6 Yixin Chen China · #1,354,149 worldwide 56 citations · 28 works
- 7 Xiaoshuai Hao China · #1,396,027 worldwide 27 citations · 15 works
- 8 Yequan Wang China · #1,555,974 worldwide 15 citations · 20 works
Which keywords describe research at Beijing Academy of Artificial Intelligence?
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, Unsupervised Learning, Representation Learning, Robotics and Multi-Agent Systems.
- Object Recognition
- Sparse Representation
- Few-Shot Learning
- Autonomous Vehicles
- Meta-Learning
- Medical Imaging
- Image Captioning
- Visual Question Answering
- Word Representation
- Semantic Segmentation
- Machine Translation
- Topic Modeling
- Transfer Learning
- Image Classification
- Semi-Supervised Learning
- Computer Vision
- Multi-Agent Systems
- Representation Learning
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Unsupervised Learning
- Robotics
- Information Retrieval
- Convolutional Networks
- Text Classification
- Reinforcement Learning
- Feature Extraction
- Image Recognition
- Object Detection
- Semantic Similarity
- Semantic Reasoning
- Classification
- Multimodal Fusion
- Image Processing
- Nonlinear Systems
- Domain Adaptation
- Collision Avoidance
- Pose Estimation
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 Learning631▲ 8.5×82 topics
- Neural Networks356▲ 11×37 topics
- Machine Learning243▲ 3.4×83 topics
- Convolutional Neural Networks144▲ 9.0×14 topics
- Unsupervised Learning78▲ 25×3 topics
- Representation Learning76▲ 25×3 topics
- Robotics70▲ 13×7 topics
- Multi-Agent Systems67▲ 16×6 topics
- Information Retrieval62▲ 13×4 topics
- Computer Vision61▲ 10×4 topics
- Convolutional Networks61▲ 20×3 topics
- Semi-Supervised Learning61▲ 25×3 topics
- Text Classification59▲ 17×3 topics
- Image Classification56▲ 15×3 topics
- Reinforcement Learning54▲ 23×4 topics
- Transfer Learning53▲ 13×3 topics
- Feature Extraction53▲ 5.3×10 topics
- Topic Modeling52▲ 16×3 topics
- Image Recognition51▲ 18×2 topics
- Machine Translation50▲ 14×2 topics
- Object Detection50▲ 18×1 topic
- Semantic Segmentation50▲ 18×1 topic
- Semantic Similarity50▲ 19×1 topic
- Word Representation50▲ 19×1 topic
- Semantic Reasoning49▲ 28×2 topics
- Visual Question Answering49▲ 28×2 topics
- Classification47▲ 4.8×11 topics
- Image Captioning46▲ 44×1 topic
- Multimodal Fusion46▲ 44×1 topic
- Medical Imaging45▲ 4.1×8 topics
- Image Processing44▲ 4.6×13 topics
- Meta-Learning44▲ 25×2 topics
- Nonlinear Systems40▲ 8.6×6 topics
- Autonomous Vehicles39▲ 8.5×4 topics
- Domain Adaptation38▲ 35×1 topic
- Few-Shot Learning38▲ 35×1 topic
- Collision Avoidance37▲ 9.4×4 topics
- Sparse Representation37▲ 8.9×6 topics
- Pose Estimation36▲ 15×3 topics
- Object Recognition34▲ 21×2 topics
Which research topics does Beijing Academy of Artificial Intelligence publish most on?
By volume in 2022–2025: Advanced Neural Network Applications, Topic Modeling, Multimodal Machine Learning Applications and Domain Adaptation and Few-Shot Learning.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 50 works
- 2 Topic Modeling Artificial Intelligence 50 works
- 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 46 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 38 works
- 5 Natural Language Processing Techniques Artificial Intelligence 31 works
- 6 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 31 works
- 7 Reinforcement Learning in Robotics Artificial Intelligence 30 works
- 8 Robotics and Sensor-Based Localization Aerospace Engineering 27 works
- 9 Human Pose and Action Recognition Computer Vision and Pattern Recognition 26 works
- 10 Anomaly Detection Techniques and Applications Artificial Intelligence 24 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 Beijing Academy of Artificial Intelligence's research output changed?
Output in 2018–2022 was 1518% 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 Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power University
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.