Beijing Academy of Artificial Intelligence
In research, Beijing Academy of Artificial Intelligence stands highest in Computer Science (#124 of 4,417 worldwide), Physical Sciences (#398 of 10,670 worldwide) and Engineering (#339 of 5,901 worldwide), 2022-now. 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 12.9× its share of world research).
- World rank, 2022-now
- #677 of 22,385 · #1,000 all time
- Rank in China
- #160 of 2,481
- Research works
- 3.2k ▲ 326% vs 2018-21
- Citations
- 41k 12.7 per fractional work
- Top-10% rate
- 16.0% all institutions 10.0%
- vs its own fields
- 1.45× 1.00× is exactly expected
- Open access
- 33% world 40%
- International
- 22% world 18%
What is Beijing Academy of Artificial Intelligence known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #124 of 4,417 | 16.9% | 977 | #276 | |
| Physical SciencesDomain | #398 of 10,670 | 17.1% | 1,701 | #648 | |
| EngineeringField | #339 of 5,901 | 18.1% | 560 | #582 | |
| Artificial IntelligenceSubfield | #115 of 1,862 | 15.2% | 408 | #213 | |
| Computer Vision and Pattern RecognitionSubfield | #65 of 963 | 18.3% | 359 | #114 | |
| Health SciencesDomain | #1,061 of 9,902 | 20.9% | 176 | #1524 | |
| MedicineField | #1,010 of 8,541 | 20.8% | 162 | #1458 | |
| Control and Systems EngineeringSubfield | #111 of 804 | 21.2% | 116 | #216 | |
| Life SciencesDomain | #988 of 6,403 | 15.3% | 164 | #1425 | |
| Electrical and Electronic EngineeringSubfield | #433 of 2,176 | 16.0% | 95 | #717 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#276 #124
- Physical Sciences#648 #398
- Engineering#582 #339
- Artificial Intelligence#213 #115
- Computer Vision and Pattern Recognition#114 #65
- Health Sciences#1,524 #1,061
- Medicine#1,458 #1,010
- Control and Systems Engineering#216 #111
- Life Sciences#1,425 #988
- Electrical and Electronic Engineering#717 #433
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Beijing Academy of Artificial Intelligence work in?
In 2022-now, 78% of research at Beijing Academy of Artificial Intelligence is in Physical Sciences, 8% in Health Sciences. Its largest fields are Computer Science (45%), Engineering (25%), Medicine (7%). It does 2.0× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences2,07578.4%
- Computer Science1,19045.0%
- Engineering67225.4%
- Environmental Science662.5%
- Physics and Astronomy421.6%
- Earth and Planetary Sciences371.4%
- Materials Science321.2%
- Mathematics130.5%
- Chemistry120.4%
- Energy70.3%
- Chemical Engineering30.1%
- Health Sciences2047.7%
- Medicine1887.1%
- Health Professions120.5%
- Dentistry20.1%
- Veterinary10.0%
- Nursing10.0%
- Life Sciences2007.5%
- Social Sciences1696.4%
- Social Sciences522.0%
- Psychology521.9%
- Decision Sciences311.2%
- Economics, Econometrics and Finance160.6%
- Business, Management and Accounting160.6%
- Arts and Humanities30.1%
What does Beijing Academy of Artificial Intelligence specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 12.9× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 430.3 works13×
- Artificial IntelligenceSubfield · 494.8 works7.8×
- Computer ScienceField · 1,189.9 works5.8×
- Signal ProcessingSubfield · 44.3 works5.5×
- Control and Systems EngineeringSubfield · 137.0 works4.8×
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.
All 26 fields, with their numbers
- Computer Science5.78×1,190 works
- Neuroscience2.05×88 works
- Engineering1.69×672 works
- Decision Sciences1.22×31 works
- Earth and Planetary Sciences0.89×37 works
- Physics and Astronomy0.71×42 works
- Psychology0.64×52 works
- Biochemistry, Genetics and Molecular Biology0.62×87 works
- Environmental Science0.50×66 works
- Mathematics0.42×13 works
- Medicine0.37×188 works
- Chemical Engineering0.36×3 works
- Materials Science0.35×32 works
- Energy0.29×7 works
- Chemistry0.28×12 works
- Economics, Econometrics and Finance0.28×16 works
- Veterinary0.26×1 works
- Pharmacology, Toxicology and Pharmaceutics0.18×2 works
- Business, Management and Accounting0.18×16 works
- Immunology and Microbiology0.17×5 works
- Health Professions0.17×12 works
- Social Sciences0.16×52 works
- Dentistry0.15×2 works
- Agricultural and Biological Sciences0.14×18 works
- Nursing0.07×1 works
- Arts and Humanities0.03×3 works
- Computer Science 5.8×
- Neuroscience 2.0×
- Engineering 1.7×
- Decision Sciences 1.2×
- Earth and Planetary Sciences 0.9×
- Physics and Astronomy 0.7×
- Psychology 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Environmental Science 0.5×
- Mathematics 0.4×
- Medicine 0.4×
- Chemical Engineering 0.4×
- Materials Science 0.3×
- Energy 0.3×
- Chemistry 0.3×
- Economics, Econometrics and Finance 0.3×
- Veterinary 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Business, Management and Accounting 0.2×
- Immunology and Microbiology 0.2×
- Health Professions 0.2×
- Social Sciences 0.2×
- Dentistry 0.1×
- Agricultural and Biological Sciences 0.1×
- Nursing 0.1×
- Arts and Humanities 0.0×
Who are the top researchers at Beijing Academy of Artificial Intelligence?
Ranked on the quality score, Nanqing Dong, Yixin Chen and Baoxiong Jia lead among researchers whose main affiliation is Beijing Academy of Artificial Intelligence.
- 1
Nanqing Dong
China · #170,847 worldwide 2.1k citations · 81 works
- 2
Yixin Chen
China · #373,469 worldwide 1.4k citations · 85 works
- 3
Baoxiong Jia
China · #400,960 worldwide 1.6k citations · 67 works
- 4
Ledell Wu
China · #430,557 worldwide 1.9k citations · 28 works
- 5
Puhao Li
China · #654,081 worldwide 378 citations · 19 works
- 6
Hangxin Liu
China · #742,334 worldwide 1.3k citations · 121 works
- 7
BORJE FELIPE FERNANDES KARLSSON
China · #742,477 worldwide 969 citations · 113 works
- 8
Ceyao Zhang
China · #785,509 worldwide 388 citations · 25 works
- 9
Ziyuan Jiao
China · #848,357 worldwide 523 citations · 49 works
- 10
Yao Su
China · #875,285 worldwide 596 citations · 47 works
Which keywords describe research at Beijing Academy of Artificial Intelligence?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Representation Learning, Unsupervised Learning, Robotics and Multi-Agent Systems.
- Graph Convolutional Networks
- Sparse Representation
- Collision Avoidance
- Few-Shot Learning
- Nonlinear Systems
- Meta-Learning
- Word Representation
- Machine Translation
- Image Captioning
- Semantic Segmentation
- Transfer Learning
- Feature Extraction
- Semantic Reasoning
- Text Classification
- Image Classification
- Computer Vision
- Multi-Agent Systems
- Unsupervised Learning
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Representation Learning
- Robotics
- Semi-Supervised Learning
- Information Retrieval
- Convolutional Networks
- Reinforcement Learning
- Visual Question Answering
- Image Recognition
- Object Detection
- Topic Modeling
- Multimodal Fusion
- Semantic Similarity
- Classification
- Image Processing
- Domain Adaptation
- Autonomous Vehicles
- Pose Estimation
- Generative Adversarial Networks
Size is fractional works in 2022-now 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 Learning768▲ 8.4×84 topics
- Neural Networks429▲ 11×37 topics
- Machine Learning301▲ 3.4×85 topics
- Convolutional Neural Networks170▲ 8.8×14 topics
- Representation Learning100▲ 24×3 topics
- Unsupervised Learning99▲ 25×3 topics
- Robotics84▲ 13×8 topics
- Multi-Agent Systems80▲ 16×6 topics
- Semi-Supervised Learning77▲ 24×3 topics
- Computer Vision74▲ 10×4 topics
- Information Retrieval73▲ 13×4 topics
- Image Classification70▲ 14×3 topics
- Convolutional Networks70▲ 19×3 topics
- Text Classification70▲ 16×3 topics
- Reinforcement Learning65▲ 22×4 topics
- Semantic Reasoning64▲ 27×2 topics
- Visual Question Answering64▲ 27×2 topics
- Feature Extraction64▲ 5.3×10 topics
- Image Recognition64▲ 16×2 topics
- Transfer Learning63▲ 12×3 topics
- Object Detection62▲ 17×1 topic
- Semantic Segmentation62▲ 17×1 topic
- Topic Modeling62▲ 15×3 topics
- Image Captioning60▲ 41×1 topic
- Multimodal Fusion60▲ 41×1 topic
- Machine Translation60▲ 14×2 topics
- Semantic Similarity60▲ 18×1 topic
- Word Representation60▲ 18×1 topic
- Classification56▲ 4.6×11 topics
- Meta-Learning54▲ 24×2 topics
- Image Processing50▲ 4.4×13 topics
- Nonlinear Systems48▲ 8.2×6 topics
- Domain Adaptation47▲ 32×1 topic
- Few-Shot Learning47▲ 32×1 topic
- Autonomous Vehicles46▲ 8.3×4 topics
- Collision Avoidance45▲ 9.3×4 topics
- Pose Estimation43▲ 14×3 topics
- Sparse Representation42▲ 8.5×6 topics
- Generative Adversarial Networks42▲ 18×2 topics
- Graph Convolutional Networks39▲ 13×2 topics
Which research topics does Beijing Academy of Artificial Intelligence publish most on?
By volume in 2022-now: Advanced Neural Network Applications, Multimodal Machine Learning Applications, Topic Modeling 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 62 works
- 2 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 60 works
- 3 Topic Modeling Artificial Intelligence 60 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 47 works
- 5 Reinforcement Learning in Robotics Artificial Intelligence 37 works
- 6 Natural Language Processing Techniques Artificial Intelligence 34 works
- 7 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 33 works
- 8 Robotics and Sensor-Based Localization Aerospace Engineering 30 works
- 9 Human Pose and Action Recognition Computer Vision and Pattern Recognition 30 works
- 10 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 27 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: 40% of research is openly available.
World: 18% is written across borders.
How has Beijing Academy of Artificial Intelligence's research output changed?
Output in 2022-2025 was 326% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Beijing Academy of Artificial Intelligence as a percentage of every work published that year, 0.0091% in 2024.
Fractional works of Beijing Academy of Artificial Intelligence over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 21.4% in 2020.
Other research institutions in Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- Chinese Academy of Agricultural Sciences
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Capital Medical University
Compare Beijing Academy of Artificial Intelligence with
- vs
Anhui Agricultural University
- vs
Johannes Kepler University of Linz
- vs
Indian Institute of Technology Roorkee
- vs
Shenzhen Technology University
- vs
Chongqing Medical University
- vs
Hungarian Research Network
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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