- World rank, all time
- #32,840 of 34,923
- Rank in ??
- #548 of 615
- Research works
- 123 ▲ 5% vs 2018-21
- Citations
- 20k 162.4 per fractional work
- Top-10% rate
- 44.8% all institutions 10.0%
- vs its own fields
- 1.25× 1.00× is exactly expected
- Open access
- 25% world 40%
- International
- 37% world 18%
Which fields of science does Megvii (China) work in?
In 2022-now, 96% of research at Megvii (China) is in Physical Sciences, 3% in Health Sciences. Its largest fields are Computer Science (77%), Engineering (16%), Medicine (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 8 fields, with their numbers
- Physical Sciences5795.6%
- Computer Science4677.4%
- Engineering1016.0%
- Earth and Planetary Sciences11.5%
- Environmental Science00.7%
- Health Sciences23.1%
- Medicine23.1%
- Life Sciences11.1%
- Social Sciences00.2%
- Psychology00.2%
What does Megvii (China) specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 47.9× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 35.9 works48×
- Computer ScienceField · 46.0 works9.9×
- Physical SciencesDomain · 56.8 works2.5×
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, 9.9×. Every wedge is a field page.
All 8 fields, with their numbers
- Computer Science9.95×46 works
- Engineering1.07×10 works
- Earth and Planetary Sciences0.98×1 works
- Neuroscience0.43×0 works
- Medicine0.16×2 works
- Environmental Science0.14×0 works
- Biochemistry, Genetics and Molecular Biology0.08×0 works
- Psychology0.06×0 works
Who are the top researchers at Megvii (China)?
Ranked on the quality score, Xiangyu Zhang, Jian Sun and Haoqiang Fan lead among researchers whose main affiliation is Megvii (China).
- 1 Xiangyu Zhang #14,614 worldwide 327k citations · 424 works
- 2 Jian Sun #25,381 worldwide 281k citations · 156 works
- 3 Haoqiang Fan #34,333 worldwide 7.9k citations · 95 works
- 4 Tiancai Wang #90,080 worldwide 3.4k citations · 93 works
- 5 Erjin Zhou #219,487 worldwide 4.4k citations · 48 works
- 6 Shuchang Zhou #260,509 worldwide 6.1k citations · 113 works
- 7 Yuzhi Wang #381,328 worldwide 2.8k citations · 31 works
- 8 Ningning Ma #592,484 worldwide 10k citations · 26 works
- 9 Jiajun Liang #657,471 worldwide 2.7k citations · 34 works
- 10 Chao Peng #663,914 worldwide 8.7k citations · 52 works
Which keywords describe research at Megvii (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Convolutional Networks, Computer Vision, Image Recognition and Object Detection.
- Sparse Representations
- Pose Estimation
- Dehazing
- 3D Reconstruction
- Visual Tracking
- Classification
- Image Processing
- Image
- 3D Mapping
- Image Captioning
- Domain Adaptation
- Sparse Representation
- Generative Adversarial Networks
- Local Descriptors
- Meta-Learning
- Representation Learning
- Object Detection
- Computer Vision
- Unsupervised Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Convolutional Networks
- Image Recognition
- Transfer Learning
- Depth Estimation
- Feature Matching
- Medical Imaging
- Optical Flow
- Stereo Vision
- Few-Shot Learning
- Visual Question Answering
- SLAM
- Super-Resolution
- Real-time Tracking
- Object Tracking
- Wavelet Transform
- Contrast Enhancement
- Point Clouds
- Image Denoising
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 Learning35▲ 17×33 topics
- Neural Networks14▲ 15×14 topics
- Convolutional Neural Networks13▲ 30×8 topics
- Unsupervised Learning10▲ 113×3 topics
- Convolutional Networks10▲ 118×3 topics
- Computer Vision7▲ 43×2 topics
- Image Recognition7▲ 79×1 topic
- Object Detection7▲ 82×1 topic
- Transfer Learning6▲ 50×3 topics
- Representation Learning6▲ 60×2 topics
- Depth Estimation6▲ 116×2 topics
- Meta-Learning5▲ 102×2 topics
- Feature Matching5▲ 150×1 topic
- Local Descriptors5▲ 150×1 topic
- Medical Imaging5▲ 16×4 topics
- Generative Adversarial Networks5▲ 91×2 topics
- Optical Flow5▲ 161×1 topic
- Sparse Representation5▲ 41×4 topics
- Stereo Vision5▲ 161×1 topic
- Domain Adaptation4▲ 133×1 topic
- Few-Shot Learning4▲ 133×1 topic
- Image Captioning4▲ 111×1 topic
- Visual Question Answering4▲ 68×1 topic
- 3D Mapping4▲ 85×1 topic
- SLAM4▲ 85×1 topic
- Image3▲ 149×1 topic
- Super-Resolution3▲ 149×1 topic
- Image Processing3▲ 11×4 topics
- Real-time Tracking2▲ 38×2 topics
- Classification2▲ 7.8×6 topics
- Object Tracking2▲ 56×1 topic
- Visual Tracking2▲ 50×1 topic
- Wavelet Transform2▲ 16×2 topics
- 3D Reconstruction2▲ 33×2 topics
- Contrast Enhancement2▲ 75×1 topic
- Dehazing2▲ 75×1 topic
- Point Clouds2▲ 33×2 topics
- Pose Estimation2▲ 26×2 topics
- Image Denoising2▲ 70×1 topic
- Sparse Representations2▲ 70×1 topic
Which research topics does Megvii (China) publish most on?
By volume in 2022-now: Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging 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 7 works
- 2 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 5 works
- 3 Advanced Vision and Imaging Computer Vision and Pattern Recognition 5 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 4 works
- 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 4 works
- 6 Robotics and Sensor-Based Localization Aerospace Engineering 4 works
- 7 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 3 works
- 8 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
- 9 Image Enhancement Techniques Computer Vision and Pattern Recognition 2 works
- 10 Image and Signal Denoising Methods Computer Vision and Pattern Recognition 2 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 Megvii (China)'s research output changed?
Output in 2022-2025 was 5% 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 Megvii (China) as a percentage of every work published that year, 0.00023% in 2024.
Fractional works of Megvii (China) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Beijing
- Chinese People's Armed Police Force
- China Telecom
- Kuaishou (China)
- CHN Energy (China)
- Changcheng Institute of Metrology & Measurement
- State Key Laboratory of Kidney Diseases
- State Key Laboratory of Cardiovascular Disease
- China National Botanical Garden
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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