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Company · Shanghai · ??

Deepblue Technology (China)

Research works
24
fractional, all time
Citations
373
15.6 per fractional work
Top-10% rate
52.8%
record average 16.5%
Open access
39%
world 28%

Not ranked overall: Deepblue Technology (China) 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.

Who are the top researchers at Deepblue Technology (China)?

Ranked on the composite score, Zhenyu Xu lead among researchers whose main affiliation is Deepblue Technology (China).

  1. 1 Zhenyu Xu ?? · #702,254 worldwide 122 citations · 17 works
All ranked researchers at Deepblue Technology (China)

Which keywords describe research at Deepblue Technology (China)?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Pose Estimation, Information Retrieval, Text Classification, Machine Learning and Computer Vision.

▲ 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 28 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 28 words, with their numbers
  1. Deep Learning10▲ 21×22 topics
  2. Neural Networks5▲ 21×12 topics
  3. Convolutional Neural Networks4▲ 41×8 topics
  4. Pose Estimation3▲ 157×2 topics
  5. Information Retrieval2▲ 73×2 topics
  6. Text Classification2▲ 114×2 topics
  7. Machine Learning2▲ 4.7×9 topics
  8. Action Recognition2▲ 264×1 topic
  9. Computer Vision2▲ 53×3 topics
  10. Convolutional Networks2▲ 62×3 topics
  11. Machine Translation2▲ 63×1 topic
  12. Semantic Reasoning2▲ 223×2 topics
  13. Spatiotemporal Features2▲ 264×1 topic
  14. Visual Question Answering2▲ 223×2 topics
  15. Word Representation2▲ 107×1 topic
  16. Image Classification2▲ 92×2 topics
  17. Face Recognition1▲ 73×2 topics
  18. Feature Selection1▲ 31×3 topics
  19. Image Captioning1▲ 280×1 topic
  20. Image Recognition1▲ 109×1 topic
  21. Multimodal Fusion1▲ 280×1 topic
  22. Neural Machine Translation1▲ 69×1 topic
  23. Object Detection1▲ 115×1 topic
  24. Statistical Machine Translation1▲ 69×1 topic
  25. Surveillance1▲ 29×2 topics
  26. Age Estimation1▲ 86×1 topic
  27. Facial Landmark Detection1▲ 169×1 topic
  28. Local Binary Patterns1▲ 51×2 topics

Which research topics does Deepblue Technology (China) publish most on?

By volume in 2022–2025: Human Pose and Action Recognition, Multimodal Machine Learning Applications, Anomaly Detection Techniques and Applications and Human Motion and Animation.

  1. 1 Human Pose and Action Recognition Computer Vision and Pattern Recognition 0 works
  2. 2 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 0 works
  3. 3 Anomaly Detection Techniques and Applications Artificial Intelligence 0 works
  4. 4 Human Motion and Animation Control and Systems Engineering 0 works
  5. 5 Domain Adaptation and Few-Shot Learning Artificial Intelligence 0 works
  6. 6 Traumatic Ocular and Foreign Body Injuries Ophthalmology 0 works
  7. 7 Trauma Management and Diagnosis Surgery 0 works
  8. 8 Pleural and Pulmonary Diseases Pulmonary and Respiratory Medicine 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 available39.3%not open60.7%

World: 28% of research is openly available.

with international co-authors10.0%domestic only90.0%

World: 19% is written across borders.

How has Deepblue Technology (China)'s research output changed?

2020

Other research institutions in Shanghai

All research institutions in Shanghai

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.