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Company · Shanghai · China

Samsung (China)

In research, Samsung (China) stands highest in Physical Sciences (#11,377 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science — Computer Vision and Pattern Recognition is 21.3× its share of world research.

samsung.com/cnROR OpenAlex
World rank, 2022–2025
#21,756
of 28,054 · #26,429 all time
Rank in China
#2,951
of 3,058
Research works
305
▲ 29% vs 2013–17
Citations
6.8k
22.2 per fractional work
Top-10% rate
16.8%
record average 16.5%
Open access
14%
world 28%

What is Samsung (China) known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Physical SciencesDomain #11,377 of 12,888 16.6%77 #14562

Each strip is that field’s whole ranked pool, with the notch where Samsung (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 world mark, because the world rate differs by field (from about 6% to 21% in this record).

What does Samsung (China) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 21.3× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 22.3 works21×
  2. Computer ScienceField · 48.0 works7.4×
← less than its size predicts1×more →

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.

Biochemistry, Genetics and Molecular Biology: 0.26× its world share, 1 worksBiochemistry, Geneti…Neuroscience: 0.44× its world share, 1 worksNeuroscienceChemistry: 0.06× its world share, 0 worksChemistryComputer Science: 7.41× its world share, 48 worksComputer ScienceEarth and Planetary Sciences: 0.60× its world share, 1 worksEarth and Planetary …Energy: 0.44× its world share, 0 worksEnergyEngineering: 2.05× its world share, 26 worksEngineeringEnvironmental Science: 0.11× its world share, 0 worksEnvironmental ScienceMaterials Science: 0.29× its world share, 1 worksMaterials ScienceMathematics: 0.14× its world share, 0 worksMathematicsPhysics and Astronomy: 0.63× its world share, 1 worksPhysics and AstronomyMedicine: 0.09× its world share, 1 worksMedicineArts and Humanities: 0.21× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.07× its world share, 0 worksBusiness, Management…Psychology: 0.68× its world share, 2 worksPsychologySocial Sciences: 0.02× its world share, 0 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 7.4×. Every wedge is a field page.

Who are the top researchers at Samsung (China)?

Ranked on the composite score, Bin Yu and Xuan Zhu lead among researchers whose main affiliation is Samsung (China).

  1. 1 Bin Yu China · #180,911 worldwide 177 citations · 36 works
  2. 2 Xuan Zhu China · #187,621 worldwide 903 citations · 17 works
All ranked researchers at Samsung (China)

Which keywords describe research at Samsung (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Convolutional Networks, Beamforming, Sparse Representation, Depth Estimation and Wireless 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 2022–2025 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
  1. Deep Learning26▲ 9.1×36 topics
  2. Neural Networks15▲ 12×15 topics
  3. Convolutional Neural Networks8▲ 14×8 topics
  4. Convolutional Networks6▲ 54×3 topics
  5. Beamforming5▲ 52×3 topics
  6. Sparse Representation5▲ 29×4 topics
  7. Depth Estimation4▲ 63×2 topics
  8. Wireless Networks4▲ 33×6 topics
  9. Energy Efficiency4▲ 5.2×5 topics
  10. Wireless Communications4▲ 27×5 topics
  11. Medical Imaging4▲ 8.9×4 topics
  12. Generative Adversarial Networks4▲ 51×2 topics
  13. Channel Estimation3▲ 48×3 topics
  14. Unsupervised Learning3▲ 29×3 topics
  15. MIMO Systems3▲ 50×3 topics
  16. Image3▲ 95×1 topic
  17. Super-Resolution3▲ 95×1 topic
  18. Massive MIMO3▲ 45×3 topics
  19. Neural Machine Translation3▲ 39×1 topic
  20. Statistical Machine Translation3▲ 39×1 topic
  21. Channel Modeling3▲ 27×3 topics
  22. Image Processing3▲ 7.5×2 topics
  23. Information Retrieval3▲ 16×2 topics
  24. Machine Translation3▲ 20×1 topic
  25. Text Classification3▲ 22×2 topics
  26. Word Representation3▲ 27×1 topic
  27. Wireless Communication3▲ 21×4 topics
  28. Feature Extraction2▲ 6.5×4 topics
  29. Image Captioning2▲ 58×1 topic
  30. Optical Flow2▲ 57×1 topic
  31. Stereo Vision2▲ 57×1 topic
  32. Visual Question Answering2▲ 36×1 topic
  33. Computer Vision2▲ 10×2 topics
  34. Heterogeneous Networks2▲ 28×2 topics
  35. Audio-Visual Speech Recognition2▲ 50×1 topic
  36. Image Recognition2▲ 19×1 topic
  37. Object Detection2▲ 20×1 topic
  38. Speech Enhancement2▲ 50×1 topic
  39. 5G2▲ 44×2 topics
  40. Deep Neural Networks2▲ 23×3 topics

Which research topics does Samsung (China) publish most on?

By volume in 2022–2025: Advanced Image Processing Techniques, Natural Language Processing Techniques, Topic Modeling and Advanced Vision and Imaging.

Advanced Image Processin…3Advanced Image Processing Techniques: 3 fractional worksNatural Language Process…3Natural Language Processing Techniques: 3 fractional worksTopic Modeling: 3 fractional worksAdvanced Vision and Imaging: 2 fractional worksMultimodal Machine Learning Applications: 2 fractional worksSpeech and Audio Processing: 2 fractional worksAdvanced Neural Network Applications: 2 fractional worksImage Processing Techniq…2Image Processing Techniques and Applications: 2 fractional worksAdvanced MIMO Systems Optimization: 2 fractional worksMillimeter-Wave Propagation and Modeling: 2 fractional works
Computer Vision and Pattern RecognitionArtificial IntelligenceSignal ProcessingMedia Technology1 others

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

  1. 1 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 3 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 3 works
  3. 3 Topic Modeling Artificial Intelligence 3 works
  4. 4 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
  6. 6 Speech and Audio Processing Signal Processing 2 works
  7. 7 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
  8. 8 Image Processing Techniques and Applications Media Technology 2 works
  9. 9 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 2 works
  10. 10 Millimeter-Wave Propagation and Modeling Electrical and Electronic Engineering 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.

openly available14.2%not open85.8%

World: 28% of research is openly available.

with international co-authors32.0%domestic only68.0%

World: 19% is written across borders.

How has Samsung (China)'s research output changed?

Output in 2018–2022 was 29% higher than in 2013–2017.

2005201020152020
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 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.