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Deepblue Technology (China)

deepblueai.comROR OpenAlex
Research works
24
▼ 95% vs 2018-21
Citations
373
15.6 per fractional work
Top-10% rate
35.8%
all institutions 10.0%
Open access
39%
world 40%
International
10%
world 18%
Deepblue Technology (China)

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.

Which fields of science does Deepblue Technology (China) work in?

In all years, 87% of research at Deepblue Technology (China) is in Physical Sciences, 5% in Health Sciences. Its largest fields are Computer Science (73%), Engineering (12%), Medicine (5%). It does 1.9× the world's share of Physical Sciences.

Physical Sciences: 21 fractional works · 86.7% of its workComputer Science: 17 fractional works · 73.3% of its workComputer Vision and Pattern Recognition: 9 fractional works · 37.6% of its workArtificial Intelligence: 7 fractional works · 30.6% of its workComputer Networks and Communications: 0 fractional works · 2.1% of its workSignal Processing: 0 fractional works · 1.4% of its workComputational Theory and Mathematics: 0 fractional works · 1.3% of its workHardware and Architecture: 0 fractional works · 0.3% of its workEngineering: 3 fractional works · 12.2% of its workAutomotive Engineering: 1 fractional works · 2.8% of its workSafety, Risk, Reliability and Quality: 0 fractional works · 1.6% of its workBuilding and Construction: 0 fractional works · 1.4% of its workControl and Systems Engineering: 0 fractional works · 1.4% of its workElectrical and Electronic Engineering: 0 fractional works · 1.4% of its workAerospace Engineering: 0 fractional works · 1.3% of its workBiomedical Engineering: 0 fractional works · 1.2% of its workIndustrial and Manufacturing Engineering: 0 fractional works · 0.7% of its workOcean Engineering: 0 fractional works · 0.3% of its workSmaller subfields together: 0 fractional works · 0.1% of its workEnvironmental Science: 0 fractional works · 0.8% of its workEnvironmental Engineering: 0 fractional works · 0.3% of its workGlobal and Planetary Change: 0 fractional works · 0.3% of its workHealth, Toxicology and Mutagenesis: 0 fractional works · 0.3% of its workEarth and Planetary Sciences: 0 fractional works · 0.3% of its workGeology: 0 fractional works · 0.3% of its workHealth Sciences: 1 fractional works · 5.4% of its workMedicine: 1 fractional works · 5.4% of its workOncology: 1 fractional works · 2.2% of its workRadiology, Nuclear Medicine and Imaging: 1 fractional works · 2.1% of its workGastroenterology: 0 fractional works · 0.7% of its workSmaller subfields together: 0 fractional works · 0.3% of its workSocial Sciences: 1 fractional works · 4.2% of its workPsychology: 1 fractional works · 2.8% of its workExperimental and Cognitive Psychology: 0 fractional works · 1.4% of its workSocial Psychology: 0 fractional works · 1.4% of its workSmaller subfields together: 0 fractional works · 0.0% of its workSocial Sciences: 0 fractional works · 0.9% of its workCommunication: 0 fractional works · 0.5% of its workSociology and Political Science: 0 fractional works · 0.5% of its workBusiness, Management and Accounting: 0 fractional works · 0.5% of its workOrganizational Behavior and Human Resource Management: 0 fractional works · 0.5% of its workLife Sciences: 1 fractional works · 3.7% of its workNeuroscience: 1 fractional works · 2.8% of its workCognitive Neuroscience: 1 fractional works · 2.8% of its workBiochemistry, Genetics and Molecular Biology: 0 fractional works · 0.9% of its workGenetics: 0 fractional works · 0.4% of its workMolecular Biology: 0 fractional works · 0.3% of its workSmaller subfields together: 0 fractional works · 0.2% of its workALL ITS WORKDeepblueTechnology…24fractional works, all years
Life Sciences4%Physical Sciences87%Health Sciences5%Social Sciences4%

Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in all years. 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 10 fields, with their numbers
    1. Computer Science1773.3%
    2. Engineering312.2%
    3. Environmental Science00.8%
    4. Earth and Planetary Sciences00.3%
    1. Medicine15.4%
    1. Psychology12.8%
    2. Social Sciences00.9%
    3. Business, Management and Accounting00.5%
    1. Neuroscience12.8%
    2. Biochemistry, Genetics and Molecular Biology00.9%
All of science, and how each field's share has moved since 1950: the Science domain explorer

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 quality score, Yuehan Yao lead among researchers whose main affiliation is Deepblue Technology (China).

  1. 1 Yuehan Yao #709,563 worldwide 1.7k citations · 36 works
All ranked researchers at Deepblue Technology (China)

What are the most cited papers from Deepblue Technology (China)?

The most cited paper from Deepblue Technology (China) is "VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results" (Yaru Cao et al., 2021), with 296 citations. Next come "State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks" (268) and "VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results" (265).

Most cited papers
#PaperReleasedCitations
1 VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results Yaru Cao et al. Conference paper Oct 2021 296
2 State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks Bo Shen, Zidong Wang, Dong Wang et al. · IEEE Transactions on Neural Networks and Learning Systems 14 Nov 2019 268
3 VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du et al. · Lecture notes in computer science Conference paper 2020 265
4 MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge Ruchika Verma et al. · IEEE Transactions on Medical Imaging Open access 4 Jun 2021 213
5 Distributed State-Saturated Recursive Filtering Over Sensor Networks Under Round-Robin Protocol Bo Shen, Zidong Wang, Dong Wang et al. · IEEE Transactions on Cybernetics 23 Aug 2019 159
All 49 most cited papers, with filters and sorting

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-now: Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Human Motion and Animation and Multimodal Machine Learning Applications.

Human Pose and Action Re…0Human Pose and Action Recognition: 0 fractional worksDomain Adaptation and Few-Shot Learning: 0 fractional worksHuman Motion and Animation: 0 fractional worksMultimodal Machine Learning Applications: 0 fractional worksAnomaly Detection Techniques and Applications: 0 fractional works
Computer Vision and Pattern RecognitionArtificial IntelligenceControl and Systems Engineering

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

  1. 1 Human Pose and Action Recognition Computer Vision and Pattern Recognition 0 works
  2. 2 Domain Adaptation and Few-Shot Learning Artificial Intelligence 0 works
  3. 3 Human Motion and Animation Control and Systems Engineering 0 works
  4. 4 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 0 works
  5. 5 Anomaly Detection Techniques and Applications Artificial Intelligence 0 works
  6. 6 Trauma Management and Diagnosis Surgery 0 works
  7. 7 Traumatic Ocular and Foreign Body Injuries Ophthalmology 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: 40% of research is openly available.

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

World: 18% is written across borders.

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

Output in 2022-2025 was 95% lower than in 2018-2021.

still counting20202025

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 have tabs of their own, above.

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