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Company · Beijing · China

Lenovo (China)

In research, Lenovo (China) stands highest in Computer Science (#1,790 of 4,667 worldwide) and Physical Sciences (#6,823 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 17.1× its share of world research.

World rank, 2022–2025
#10,927
of 28,054 · #21,416 all time
Rank in China
#1,957
of 3,058
Research works
466
▲ 137% vs 2013–17
Citations
6.6k
14.3 per fractional work
Top-10% rate
24.4%
record average 16.5%
Open access
24%
world 28%

What is Lenovo (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 #1,790 of 4,667 25.8%123 #3055
Physical SciencesDomain #6,823 of 12,888 24.8%186 #13111

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

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 17.1× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 44.8 works17×
  2. Artificial IntelligenceSubfield · 44.1 works8.8×
  3. Computer ScienceField · 122.9 works7.6×
← 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: 0.09× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.12× its world share, 1 worksBiochemistry, Geneti…Immunology and Microbiology: 0.04× its world share, 0 worksImmunology and Micro…Neuroscience: 0.39× its world share, 1 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.30× its world share, 0 worksPharmacology, Toxico…Chemistry: 0.10× its world share, 0 worksChemistryComputer Science: 7.61× its world share, 123 worksComputer ScienceEarth and Planetary Sciences: 0.16× its world share, 0 worksEarth and Planetary …Energy: 0.10× its world share, 0 worksEnergyEngineering: 1.78× its world share, 55 worksEngineeringEnvironmental Science: 0.10× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.31× its world share, 2 worksMaterials ScienceMathematics: 0.44× its world share, 1 worksMathematicsPhysics and Astronomy: 0.54× its world share, 2 worksPhysics and AstronomyHealth Professions: 0.08× its world share, 0 worksHealth ProfessionsMedicine: 0.13× its world share, 5 worksMedicineArts and Humanities: 0.05× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.24× its world share, 2 worksBusiness, Management…Decision Sciences: 1.09× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.27× its world share, 1 worksEconomics, Econometr…Psychology: 0.45× its world share, 3 worksPsychologySocial Sciences: 0.15× its world share, 4 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 7.6×. Every wedge is a field page.

Who are the top researchers at Lenovo (China)?

Ranked on the composite score, Jun Luo, Zhiqiang He and Cheng Zhong lead among researchers whose main affiliation is Lenovo (China).

  1. 1 Jun Luo China · #412,265 worldwide 120 citations · 33 works
  2. 2 Zhiqiang He China · #490,661 worldwide 156 citations · 18 works
  3. 3 Cheng Zhong China · #671,647 worldwide 87 citations · 16 works
  4. 4 Zhongchao Shi China · #900,024 worldwide 63 citations · 33 works
  5. 5 Qianying Wang China · #1,202,983 worldwide 58 citations · 44 works
  6. 6 Jun Xie China · #1,482,211 worldwide 15 citations · 23 works
All ranked researchers at Lenovo (China)

Which keywords describe research at Lenovo (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Representation Learning, Information Retrieval, Text Classification and Semi-Supervised Learning.

▲ 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 Learning67▲ 9.5×64 topics
  2. Neural Networks39▲ 12×30 topics
  3. Convolutional Neural Networks17▲ 11×13 topics
  4. Machine Learning15▲ 2.1×39 topics
  5. Unsupervised Learning11▲ 38×3 topics
  6. Representation Learning11▲ 39×3 topics
  7. Information Retrieval11▲ 24×4 topics
  8. Text Classification10▲ 31×2 topics
  9. Energy Efficiency9▲ 4.8×16 topics
  10. Semi-Supervised Learning8▲ 37×3 topics
  11. Convolutional Networks8▲ 27×3 topics
  12. Topic Modeling8▲ 26×2 topics
  13. Machine Translation8▲ 23×1 topic
  14. Word Representation8▲ 31×1 topic
  15. Transfer Learning6▲ 16×3 topics
  16. Image Captioning6▲ 59×1 topic
  17. Internet of Things6▲ 3.4×10 topics
  18. Visual Question Answering6▲ 36×1 topic
  19. Meta-Learning6▲ 34×2 topics
  20. Pose Estimation6▲ 24×2 topics
  21. Domain Adaptation5▲ 49×1 topic
  22. Few-Shot Learning5▲ 49×1 topic
  23. Heterogeneous Networks5▲ 26×2 topics
  24. 5G Networks5▲ 11×5 topics
  25. Image Classification5▲ 13×2 topics
  26. Computer Vision5▲ 8.2×3 topics
  27. Generative Adversarial Networks4▲ 26×2 topics
  28. Real-time Tracking4▲ 20×2 topics
  29. Image Recognition4▲ 15×1 topic
  30. Object Detection4▲ 16×1 topic
  31. Neural Machine Translation4▲ 21×1 topic
  32. Statistical Machine Translation4▲ 21×1 topic
  33. Action Recognition4▲ 39×1 topic
  34. Sparse Representation4▲ 9.9×6 topics
  35. Spatiotemporal Features4▲ 39×1 topic
  36. Feature Selection4▲ 8.3×4 topics
  37. Graph Convolutional Networks4▲ 16×2 topics
  38. Visual Attention4▲ 33×2 topics
  39. Time Series4▲ 10×3 topics
  40. Object Tracking4▲ 25×1 topic

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

By volume in 2022–2025: Topic Modeling, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.

  1. 1 Topic Modeling Artificial Intelligence 8 works
  2. 2 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 6 works
  3. 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 5 works
  4. 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
  5. 5 Natural Language Processing Techniques Artificial Intelligence 4 works
  6. 6 Human Pose and Action Recognition Computer Vision and Pattern Recognition 4 works
  7. 7 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 4 works
  8. 8 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 3 works
  9. 9 Anomaly Detection Techniques and Applications Artificial Intelligence 3 works
  10. 10 Advanced Vision and Imaging Computer Vision and Pattern Recognition 3 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 available24.5%not open75.5%

World: 28% of research is openly available.

with international co-authors24.6%domestic only75.4%

World: 19% is written across borders.

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

Output in 2018–2022 was 137% higher than in 2013–2017.

201020152020
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.