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Research facility · Beijing · China

National Engineering Laboratory of Deep Learning Technology and Application

dlnel.orgROR OpenAlex
Research works
31
fractional, all time
Citations
1.7k
54.2 per fractional work
Top-10% rate
44.9%
record average 16.5%
Open access
38%
world 28%

Not ranked overall: National Engineering Laboratory of Deep Learning Technology and Application is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

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.

Computer Science: 9.50× its world share, 5 worksComputer ScienceEarth and Planetary Sciences: 2.42× its world share, 0 worksEarth and Planetary …Engineering: 0.99× its world share, 1 worksEngineeringEnvironmental Science: 0.17× its world share, 0 worksEnvironmental ScienceMedicine: 0.29× its world share, 0 worksMedicinePsychology: 0.33× its world share, 0 worksPsychology1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 9.5×. Every wedge is a field page.

Which keywords describe research at National Engineering Laboratory of Deep Learning Technology and Application?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Computer Vision, Unsupervised Learning, Image Recognition, Object Detection and Convolutional Networks.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in all years 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 33 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 33 words, with their numbers
  1. Deep Learning15▲ 22×34 topics
  2. Neural Networks7▲ 21×20 topics
  3. Convolutional Neural Networks6▲ 43×9 topics
  4. Computer Vision3▲ 74×3 topics
  5. Unsupervised Learning3▲ 100×3 topics
  6. Image Recognition3▲ 183×1 topic
  7. Object Detection3▲ 193×1 topic
  8. Convolutional Networks2▲ 69×3 topics
  9. Face Recognition2▲ 87×2 topics
  10. Pose Estimation2▲ 94×2 topics
  11. Representation Learning2▲ 106×3 topics
  12. Sparse Representation2▲ 28×4 topics
  13. 3D Mapping2▲ 86×1 topic
  14. Depth Estimation2▲ 51×2 topics
  15. Machine Learning2▲ 2.2×9 topics
  16. Robotics2▲ 23×2 topics
  17. SLAM2▲ 86×1 topic
  18. Age Estimation1▲ 85×1 topic
  19. Facial Landmark Detection1▲ 167×1 topic
  20. Optical Flow1▲ 66×1 topic
  21. Stereo Vision1▲ 66×1 topic
  22. Feature Matching1▲ 64×1 topic
  23. Local Descriptors1▲ 64×1 topic
  24. Machine Translation1▲ 36×1 topic
  25. Transfer Learning1▲ 56×2 topics
  26. Word Representation1▲ 60×1 topic
  27. 3D Reconstruction1▲ 54×2 topics
  28. Domain Adaptation1▲ 167×1 topic
  29. Few-Shot Learning1▲ 167×1 topic
  30. Generative Adversarial Networks1▲ 83×2 topics
  31. Point Clouds1▲ 54×2 topics
  32. Semi-Supervised Learning1▲ 65×2 topics
  33. Real-time Tracking1▲ 52×2 topics

Which research topics does National Engineering Laboratory of Deep Learning Technology and Application publish most on?

By volume in 2022–2025: Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Face recognition and analysis and Digital Media Forensic Detection.

Advanced Neural Network …1Advanced Neural Network Applications: 1 fractional worksDomain Adaptation and Few-Shot Learning: 0 fractional worksFace recognition and ana…0Face recognition and analysis: 0 fractional worksDigital Media Forensic D…0Digital Media Forensic Detection: 0 fractional worksGenerative Adversarial Networks and Image Synthesis: 0 fractional works3D Surveying and Cultural Heritage: 0 fractional worksRobotics and Sensor-Base…0Robotics and Sensor-Based Localization: 0 fractional worksVideo Surveillance and Tracking Methods: 0 fractional worksFace and Expression Recognition: 0 fractional worksFacial Nerve Paralysis Treatment and Research: 0 fractional works
Computer Vision and Pattern RecognitionArtificial IntelligenceGeologyAerospace Engineering1 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
  2. 2 Domain Adaptation and Few-Shot Learning Artificial Intelligence 0 works
  3. 3 Face recognition and analysis Computer Vision and Pattern Recognition 0 works
  4. 4 Digital Media Forensic Detection Computer Vision and Pattern Recognition 0 works
  5. 5 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 0 works
  6. 6 3D Surveying and Cultural Heritage Geology 0 works
  7. 7 Robotics and Sensor-Based Localization Aerospace Engineering 0 works
  8. 8 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 0 works
  9. 9 Face and Expression Recognition Computer Vision and Pattern Recognition 0 works
  10. 10 Facial Nerve Paralysis Treatment and Research Neurology 0 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.

openly available37.9%not open62.1%

World: 28% of research is openly available.

with international co-authors48.4%domestic only51.6%

World: 19% is written across borders.

How has National Engineering Laboratory of Deep Learning Technology and Application's research output changed?

2020
grewheldshrank

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

All research institutions in Beijing

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.