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Company · Beijing · China

Xiaomi (China)

In research, Xiaomi (China) stands highest in Computer Science (#3,028 of 4,667 worldwide) and Physical Sciences (#8,844 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 7.7× its share of world research.

World rank, 2022–2025
#12,805
of 28,054 · #20,101 all time
Rank in China
#2,188
of 3,058
Research works
704
▼ 30% vs 2013–17
Citations
8.4k
11.9 per fractional work
Top-10% rate
18.2%
record average 16.5%
Open access
40%
world 28%

What is Xiaomi (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 #3,028 of 4,667 23.8%71
Physical SciencesDomain #8,844 of 12,888 20.2%143 #17104

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

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 7.7× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 20.4 works7.7×
  2. Artificial IntelligenceSubfield · 26.3 works5.2×
  3. Computer ScienceField · 71.3 works4.3×
← 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: 0.37× its world share, 4 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.64× its world share, 7 worksBiochemistry, Geneti…Immunology and Microbiology: 0.17× its world share, 0 worksImmunology and Micro…Neuroscience: 1.01× its world share, 4 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.83× its world share, 1 worksPharmacology, Toxico…Chemical Engineering: 0.19× its world share, 0 worksChemical EngineeringChemistry: 0.25× its world share, 1 worksChemistryComputer Science: 4.34× its world share, 71 worksComputer ScienceEarth and Planetary Sciences: 1.64× its world share, 5 worksEarth and Planetary …Energy: 0.29× its world share, 1 worksEnergyEngineering: 1.59× its world share, 50 worksEngineeringEnvironmental Science: 0.82× its world share, 9 worksEnvironmental ScienceMaterials Science: 0.37× its world share, 3 worksMaterials ScienceMathematics: 0.21× its world share, 0 worksMathematicsPhysics and Astronomy: 0.44× its world share, 2 worksPhysics and AstronomyDentistry: 0.26× its world share, 0 worksDentistryHealth Professions: 0.31× its world share, 2 worksHealth ProfessionsMedicine: 0.80× its world share, 32 worksMedicineNursing: 0.38× its world share, 0 worksNursingArts and Humanities: 0.35× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 0.18× its world share, 1 worksBusiness, Management…Decision Sciences: 0.81× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.13× its world share, 1 worksEconomics, Econometr…Psychology: 0.51× its world share, 3 worksPsychologySocial Sciences: 0.37× its world share, 10 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 4.3×. Every wedge is a field page.

Who are the top researchers at Xiaomi (China)?

Ranked on the composite score, Jian Luan lead among researchers whose main affiliation is Xiaomi (China).

  1. 1 Jian Luan China · #1,500,965 worldwide 18 citations · 26 works
All ranked researchers at Xiaomi (China)

Which keywords describe research at Xiaomi (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Beamforming, Hidden Markov Models, Audio-Visual Speech Recognition, Speech Enhancement and Deep Neural 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 Learning42▲ 5.8×58 topics
  2. Neural Networks23▲ 7.0×27 topics
  3. Convolutional Neural Networks18▲ 12×14 topics
  4. Beamforming8▲ 37×2 topics
  5. Hidden Markov Models8▲ 64×3 topics
  6. Machine Learning8◆ 1.13×29 topics
  7. Audio-Visual Speech Recognition8▲ 67×1 topic
  8. Speech Enhancement8▲ 67×1 topic
  9. Deep Neural Networks7▲ 32×2 topics
  10. Acoustic Modeling7▲ 91×1 topic
  11. Speaker Verification7▲ 91×1 topic
  12. Feature Extraction6▲ 6.7×7 topics
  13. Artificial Intelligence5▲ 1.75×16 topics
  14. Audio Signal Classification4▲ 53×1 topic
  15. Music Information Retrieval4▲ 53×1 topic
  16. Information Retrieval4▲ 9.4×3 topics
  17. Text Classification4▲ 13×3 topics
  18. Corpus Linguistics4▲ 8.6×2 topics
  19. Representation Learning4▲ 13×3 topics
  20. Topic Modeling4▲ 12×2 topics
  21. Neural Machine Translation4▲ 19×1 topic
  22. Statistical Machine Translation4▲ 19×1 topic
  23. Machine Translation4▲ 11×1 topic
  24. Unsupervised Learning4▲ 12×3 topics
  25. Word Representation4▲ 15×1 topic
  26. Wireless Communications3▲ 9.1×3 topics
  27. Convolutional Networks3▲ 11×3 topics
  28. Sparse Representation3▲ 8.1×6 topics
  29. Metamaterial3▲ 15×2 topics
  30. Antenna3▲ 16×1 topic
  31. Heterogeneous Networks3▲ 14×2 topics
  32. Microstrip3▲ 16×1 topic
  33. Human-Computer Interaction3▲ 7.5×5 topics
  34. Semi-Supervised Learning3▲ 11×2 topics
  35. Channel Modeling2▲ 8.5×4 topics
  36. Depth Estimation2▲ 12×2 topics
  37. Wireless Power Transfer2▲ 11×2 topics
  38. Generative Adversarial Networks2▲ 12×2 topics
  39. Semantic Reasoning2▲ 12×2 topics
  40. Visual Question Answering2▲ 12×2 topics

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

By volume in 2022–2025: Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing and Natural Language Processing Techniques.

  1. 1 Speech and Audio Processing Signal Processing 8 works
  2. 2 Speech Recognition and Synthesis Artificial Intelligence 7 works
  3. 3 Music and Audio Processing Signal Processing 4 works
  4. 4 Natural Language Processing Techniques Artificial Intelligence 4 works
  5. 5 Topic Modeling Artificial Intelligence 4 works
  6. 6 Antenna Design and Analysis Aerospace Engineering 3 works
  7. 7 Microwave Engineering and Waveguides Electrical and Electronic Engineering 2 works
  8. 8 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
  9. 9 Image and Video Quality Assessment Computer Vision and Pattern Recognition 2 works
  10. 10 Advanced Graph Neural Networks Artificial Intelligence 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 available40.1%not open59.9%

World: 28% of research is openly available.

with international co-authors36.5%domestic only63.5%

World: 19% is written across borders.

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

Output in 2018–2022 was 30% lower 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 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.