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Company · Zhuhai · China

Meizu (China)

In research, Meizu (China) stands highest in Computer Science (#2,854 of 4,667 worldwide) and Physical Sciences (#10,657 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 14.7× its share of world research.

World rank, 2022–2025
#19,527
of 28,054 · #34,781 all time
Rank in China
#2,828
of 3,058
Research works
200
▲ 1591% vs 2013–17
Citations
1.9k
9.6 per fractional work
Top-10% rate
25.6%
record average 16.5%
Open access
52%
world 28%

What is Meizu (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
Computer ScienceField #2,854 of 4,667 27.6%88
Physical SciencesDomain #10,657 of 12,888 26.2%115 #19254

Each strip is that field’s whole ranked pool, with the notch where Meizu (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 Meizu (China) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 14.7× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 26.2 works15×
  2. Artificial IntelligenceSubfield · 37.4 works11×
  3. Computer ScienceField · 88.1 works8.0×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 0.27× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.40× its world share, 3 worksBiochemistry, Geneti…Immunology and Microbiology: 0.25× its world share, 0 worksImmunology and Micro…Neuroscience: 0.24× its world share, 0 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.27× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.68× its world share, 0 worksChemical EngineeringChemistry: 0.08× its world share, 0 worksChemistryComputer Science: 8.03× its world share, 88 worksComputer ScienceEarth and Planetary Sciences: 0.41× its world share, 1 worksEarth and Planetary …Engineering: 1.05× its world share, 22 worksEngineeringEnvironmental Science: 0.30× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.08× its world share, 0 worksMaterials ScienceMathematics: 0.20× its world share, 0 worksMathematicsPhysics and Astronomy: 0.14× its world share, 0 worksPhysics and AstronomyDentistry: 0.24× its world share, 0 worksDentistryMedicine: 0.15× its world share, 4 worksMedicineNursing: 0.07× its world share, 0 worksNursingArts and Humanities: 0.23× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 1.18× its world share, 5 worksBusiness, Management…Decision Sciences: 3.48× its world share, 5 worksDecision SciencesPsychology: 0.08× its world share, 0 worksPsychologySocial Sciences: 0.25× its world share, 4 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 8.0×. Every wedge is a field page.

Who are the top researchers at Meizu (China)?

Ranked on the composite score, Jingang Wang lead among researchers whose main affiliation is Meizu (China).

  1. 1 Jingang Wang China · #1,095,898 worldwide 79 citations · 44 works
All ranked researchers at Meizu (China)

Which keywords describe research at Meizu (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Information Retrieval, Text Classification, Representation Learning, Collaborative Filtering, Matrix Factorization and Machine Translation.

▲ 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 Learning46▲ 9.6×55 topics
  2. Neural Networks30▲ 14×21 topics
  3. Information Retrieval12▲ 40×4 topics
  4. Text Classification11▲ 49×2 topics
  5. Representation Learning10▲ 50×3 topics
  6. Collaborative Filtering10▲ 191×1 topic
  7. Matrix Factorization10▲ 191×1 topic
  8. Machine Translation9▲ 40×1 topic
  9. Word Representation9▲ 55×1 topic
  10. Machine Learning9▲ 2.0×28 topics
  11. Semi-Supervised Learning8▲ 54×3 topics
  12. Convolutional Neural Networks8▲ 7.4×10 topics
  13. Unsupervised Learning6▲ 31×3 topics
  14. Graph Convolutional Networks6▲ 37×2 topics
  15. Neural Machine Translation5▲ 36×1 topic
  16. Statistical Machine Translation5▲ 36×1 topic
  17. Graph Neural Networks5▲ 71×1 topic
  18. Heterogeneous Networks5▲ 35×2 topics
  19. Knowledge Graph Embedding5▲ 71×1 topic
  20. Feature Matching4▲ 48×1 topic
  21. Local Descriptors4▲ 48×1 topic
  22. Semantic Reasoning4▲ 35×2 topics
  23. Visual Question Answering4▲ 35×2 topics
  24. Transfer Learning4▲ 14×3 topics
  25. Meta-Learning4▲ 32×2 topics
  26. Image Captioning4▲ 52×1 topic
  27. Multimodal Fusion4▲ 52×1 topic
  28. Domain Adaptation3▲ 48×1 topic
  29. Few-Shot Learning3▲ 48×1 topic
  30. Convex Optimization3▲ 26×3 topics
  31. Hyperparameter Optimization3▲ 50×2 topics
  32. Bayesian Optimization3▲ 24×2 topics
  33. Bandit Optimization3▲ 171×1 topic
  34. Contextual Bandits3▲ 171×1 topic
  35. Robotics3▲ 7.6×2 topics
  36. Convolutional Networks2▲ 13×3 topics
  37. Marketing Strategies2▲ 18×1 topic
  38. Real-time Tracking2▲ 17×2 topics
  39. Retail Economics2▲ 74×1 topic
  40. Reinforcement Learning2▲ 16×3 topics

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

By volume in 2022–2025: Recommender Systems and Techniques, Topic Modeling, Natural Language Processing Techniques and Advanced Graph Neural Networks.

  1. 1 Recommender Systems and Techniques Information Systems 10 works
  2. 2 Topic Modeling Artificial Intelligence 9 works
  3. 3 Natural Language Processing Techniques Artificial Intelligence 5 works
  4. 4 Advanced Graph Neural Networks Artificial Intelligence 5 works
  5. 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 4 works
  6. 6 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 4 works
  7. 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
  8. 8 Advanced Bandit Algorithms Research Management Science and Operations Research 3 works
  9. 9 Consumer Market Behavior and Pricing Marketing 2 works
  10. 10 Video Surveillance and Tracking 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.

openly available51.6%not open48.4%

World: 28% of research is openly available.

with international co-authors10.7%domestic only89.3%

World: 19% is written across borders.

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

Output in 2018–2022 was 1591% higher than in 2013–2017.

1990200020102020
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 Zhuhai

All research institutions in Zhuhai

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.