Kuaishou (China)
In research, Kuaishou (China) stands highest in Computer Science (#735 of 4,417 worldwide), Physical Sciences (#3,341 of 10,670 worldwide) and Computer Vision and Pattern Recognition (#356 of 963 worldwide), 2022-now. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Computer Science and Artificial Intelligence (Computer Vision and Pattern Recognition is 25.8× its share of world research).
- World rank, 2022-now
- #11,525 of 22,385 · #22,707 all time
- Rank in ??
- #217 of 487
- Research works
- 266 ▲ 338% vs 2018-21
- Citations
- 7k 26.5 per fractional work
- Top-10% rate
- 23.1% all institutions 10.0%
- vs its own fields
- 1.23× 1.00× is exactly expected
- Open access
- 40% world 40%
- International
- 20% world 18%
What is Kuaishou (China) 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 | #735 of 4,417 | 24.0% | 156 | #1416 | |
| Physical SciencesDomain | #3,341 of 10,670 | 23.7% | 180 | #6713 | |
| Computer Vision and Pattern RecognitionSubfield | #356 of 963 | 24.1% | 66 | - |
Each strip is that field's whole ranked pool, with the notch where Kuaishou (China) 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 fields of science does Kuaishou (China) work in?
In 2022-now, 92% of research at Kuaishou (China) is in Physical Sciences, 7% in Social Sciences. Its largest fields are Computer Science (81%), Engineering (9%), Decision Sciences (3%). It does 2.3× 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 18 fields, with their numbers
- Physical Sciences20291.6%
- Computer Science17880.9%
- Engineering209.0%
- Physics and Astronomy21.0%
- Earth and Planetary Sciences10.3%
- Materials Science10.2%
- Environmental Science00.2%
- Mathematics00.0%
- Social Sciences146.6%
- Life Sciences31.1%
- Health Sciences20.7%
- Medicine10.7%
- Health Professions00.0%
What does Kuaishou (China) specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 25.8× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 71.7 works26×
- Computer ScienceField · 178.1 works10×
- Artificial IntelligenceSubfield · 50.7 works9.6×
- Information SystemsSubfield · 27.0 works6.9×
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, 10.4×. Every wedge is a field page.
All 18 fields, with their numbers
- Computer Science10.40×178 works
- Decision Sciences3.30×7 works
- Engineering0.60×20 works
- Physics and Astronomy0.46×2 works
- Neuroscience0.43×2 works
- Business, Management and Accounting0.31×2 works
- Psychology0.24×2 works
- Earth and Planetary Sciences0.18×1 works
- Social Sciences0.11×3 works
- Arts and Humanities0.08×0 works
- Materials Science0.07×0 works
- Biochemistry, Genetics and Molecular Biology0.06×1 works
- Environmental Science0.04×0 works
- Agricultural and Biological Sciences0.03×0 works
- Mathematics0.03×0 works
- Medicine0.03×1 works
- Economics, Econometrics and Finance0.02×0 works
- Health Professions0.01×0 works
- Computer Science 10.4×
- Decision Sciences 3.3×
- Engineering 0.6×
- Physics and Astronomy 0.5×
- Neuroscience 0.4×
- Business, Management and Accounting 0.3×
- Psychology 0.2×
- Earth and Planetary Sciences 0.2×
- Social Sciences 0.1×
- Arts and Humanities 0.1×
- Materials Science 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Environmental Science 0.0×
- Agricultural and Biological Sciences 0.0×
- Mathematics 0.0×
- Medicine 0.0×
- Economics, Econometrics and Finance 0.0×
- Health Professions 0.0×
Who are the top researchers at Kuaishou (China)?
Ranked on the quality score, Kun Gai, Shuchang Liu and Chongyang Ma lead among researchers whose main affiliation is Kuaishou (China).
- 1 Kun Gai #49,250 worldwide 6.8k citations · 211 works
- 2 Shuchang Liu #103,788 worldwide 1.8k citations · 66 works
- 3 Chongyang Ma #107,779 worldwide 4.6k citations · 138 works
- 4 Peng Jiang #151,116 worldwide 4.7k citations · 118 works
- 5 Haibin Huang #152,637 worldwide 3.2k citations · 110 works
- 6 Xiaoxue Zang #257,107 worldwide 1.3k citations · 58 works
- 7 Qingpeng Cai #261,368 worldwide 1.1k citations · 94 works
- 8 Pengfei Wan #363,439 worldwide 2.5k citations · 178 works
- 9 Yang Song #403,588 worldwide 2.8k citations · 180 works
- 10 Kun Yuan #484,894 worldwide 1.5k citations · 70 works
Which keywords describe research at Kuaishou (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Collaborative Filtering, Matrix Factorization, Convolutional Neural Networks, Convolutional Networks, Information Retrieval and Unsupervised Learning.
- Heterogeneous Networks
- Contextual Bandits
- Speech Enhancement
- Audio-Visual Speech Recognition
- Pose Estimation
- Local Descriptors
- Feature Extraction
- Perceptual Quality
- Video Summarization
- Content-Based Retrieval
- Online Learning
- Deep Neural Networks
- Visual Question Answering
- Word Representation
- Generative Adversarial Networks
- Representation Learning
- Information Retrieval
- Machine Learning
- Matrix Factorization
- Neural Networks
- Deep Learning
- Collaborative Filtering
- Convolutional Neural Networks
- Convolutional Networks
- Unsupervised Learning
- Text Classification
- Machine Translation
- Image Captioning
- Semi-Supervised Learning
- Sparse Representation
- Hyperparameter Optimization
- Convex Optimization
- Image Quality Assessment
- Depth Estimation
- Feature Matching
- Optical Flow
- Stereo Vision
- Bayesian Optimization
- Bandit Optimization
- Graph Convolutional 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 Learning110▲ 14×54 topics
- Neural Networks66▲ 19×20 topics
- Collaborative Filtering20▲ 262×1 topic
- Matrix Factorization20▲ 262×1 topic
- Convolutional Neural Networks19▲ 12×10 topics
- Machine Learning15▲ 2.1×28 topics
- Convolutional Networks15▲ 50×3 topics
- Information Retrieval14▲ 30×4 topics
- Unsupervised Learning14▲ 41×3 topics
- Representation Learning13▲ 38×3 topics
- Text Classification11▲ 31×2 topics
- Generative Adversarial Networks10▲ 53×2 topics
- Machine Translation10▲ 27×1 topic
- Word Representation10▲ 36×1 topic
- Image Captioning9▲ 73×1 topic
- Visual Question Answering9▲ 44×1 topic
- Semi-Supervised Learning9▲ 33×3 topics
- Deep Neural Networks8▲ 30×3 topics
- Sparse Representation8▲ 18×5 topics
- Online Learning7▲ 4.0×4 topics
- Hyperparameter Optimization7▲ 77×2 topics
- Content-Based Retrieval7▲ 137×1 topic
- Convex Optimization7▲ 38×3 topics
- Video Summarization7▲ 137×1 topic
- Image Quality Assessment7▲ 180×1 topic
- Perceptual Quality7▲ 180×1 topic
- Depth Estimation6▲ 35×2 topics
- Feature Extraction6▲ 6.3×6 topics
- Feature Matching6▲ 45×1 topic
- Local Descriptors6▲ 45×1 topic
- Optical Flow6▲ 54×1 topic
- Pose Estimation6▲ 23×2 topics
- Stereo Vision6▲ 54×1 topic
- Audio-Visual Speech Recognition6▲ 48×1 topic
- Bayesian Optimization6▲ 30×2 topics
- Speech Enhancement6▲ 48×1 topic
- Bandit Optimization5▲ 210×1 topic
- Contextual Bandits5▲ 210×1 topic
- Graph Convolutional Networks5▲ 21×2 topics
- Heterogeneous Networks5▲ 24×2 topics
Which research topics does Kuaishou (China) publish most on?
By volume in 2022-now: Recommender Systems and Techniques, Topic Modeling, Multimodal Machine Learning Applications and Video Analysis and Summarization.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Recommender Systems and Techniques Information Systems 20 works
- 2 Topic Modeling Artificial Intelligence 10 works
- 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 9 works
- 4 Video Analysis and Summarization Computer Vision and Pattern Recognition 7 works
- 5 Image and Video Quality Assessment Computer Vision and Pattern Recognition 7 works
- 6 Advanced Vision and Imaging Computer Vision and Pattern Recognition 6 works
- 7 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 6 works
- 8 Speech and Audio Processing Signal Processing 6 works
- 9 Advanced Bandit Algorithms Research Management Science and Operations Research 5 works
- 10 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 5 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 Kuaishou (China)'s research output changed?
Output in 2022-2025 was 338% 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.
Other research institutions in Beijing
- Chinese People's Armed Police Force
- China Telecom
- CHN Energy (China)
- Changcheng Institute of Metrology & Measurement
- State Key Laboratory of Kidney Diseases
- State Key Laboratory of Cardiovascular Disease
- China National Botanical Garden
- Didi Chuxing (China)
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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