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Alibaba Group (Cayman Islands)

In research, Alibaba Group (Cayman Islands) stands highest in Computer Science (#1,693 of 4,667 worldwide) and Physical Sciences (#6,544 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 22.1× its share of world research.

alibabagroup.com/en/global/homeROR OpenAlex
World rank, 2022–2025
#11,873
of 28,054 · #18,958 all time
Rank in Cayman Islands
#1
of 2
Research works
235
▲ 1809% vs 2013–17
Citations
9.1k
38.8 per fractional work
Top-10% rate
37.7%
record average 16.5%
Open access
54%
world 28%

What is Alibaba Group (Cayman Islands) 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 #1,693 of 4,667 39.5%99 #2368
Physical SciencesDomain #6,544 of 12,888 39.5%117 #10722

Each strip is that field’s whole ranked pool, with the notch where Alibaba Group (Cayman Islands) 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 Alibaba Group (Cayman Islands) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 22.1× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 36.6 works22×
  2. Artificial IntelligenceSubfield · 50.2 works16×
  3. Computer ScienceField · 98.7 works9.6×
← 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.

Agricultural and Biological Sciences: 0.01× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.33× its world share, 2 worksBiochemistry, Geneti…Immunology and Microbiology: 0.02× its world share, 0 worksImmunology and Micro…Neuroscience: 0.23× its world share, 0 worksNeuroscienceComputer Science: 9.62× its world share, 99 worksComputer ScienceEarth and Planetary Sciences: 0.66× its world share, 1 worksEarth and Planetary …Engineering: 0.61× its world share, 12 worksEngineeringEnvironmental Science: 0.25× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.28× its world share, 1 worksMaterials ScienceMathematics: 0.62× its world share, 1 worksMathematicsPhysics and Astronomy: 0.20× its world share, 1 worksPhysics and AstronomyHealth Professions: 0.05× its world share, 0 worksHealth ProfessionsMedicine: 0.19× its world share, 5 worksMedicineArts and Humanities: 0.10× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.15× its world share, 1 worksBusiness, Management…Decision Sciences: 0.89× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.05× its world share, 0 worksEconomics, Econometr…Psychology: 0.26× its world share, 1 worksPsychologySocial Sciences: 0.24× its world share, 4 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 9.6×. Every wedge is a field page.

Who are the top researchers at Alibaba Group (Cayman Islands)?

Ranked on the composite score, Boxing Chen and Xuansong Xie lead among researchers whose main affiliation is Alibaba Group (Cayman Islands).

  1. 1 Boxing Chen Cayman Islands · #489,143 worldwide 118 citations · 51 works
  2. 2 Xuansong Xie Cayman Islands · #825,040 worldwide 69 citations · 19 works
All ranked researchers at Alibaba Group (Cayman Islands)

Which keywords describe research at Alibaba Group (Cayman Islands)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Information Retrieval, Text Classification, Machine Translation, Topic Modeling and Corpus Linguistics.

▲ 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 Learning48▲ 11×49 topics
  2. Neural Networks34▲ 17×22 topics
  3. Convolutional Neural Networks15▲ 15×10 topics
  4. Information Retrieval14▲ 49×3 topics
  5. Text Classification14▲ 67×3 topics
  6. Machine Learning14▲ 3.2×30 topics
  7. Machine Translation12▲ 54×2 topics
  8. Corpus Linguistics12▲ 41×2 topics
  9. Semantic Similarity12▲ 74×1 topic
  10. Topic Modeling12▲ 61×2 topics
  11. Word Representation12▲ 74×1 topic
  12. Neural Machine Translation12▲ 92×1 topic
  13. Statistical Machine Translation12▲ 92×1 topic
  14. Unsupervised Learning9▲ 46×3 topics
  15. Convolutional Networks8▲ 44×3 topics
  16. Representation Learning7▲ 39×3 topics
  17. Image Captioning6▲ 100×1 topic
  18. Visual Question Answering6▲ 61×1 topic
  19. Semi-Supervised Learning5▲ 36×3 topics
  20. Pose Estimation5▲ 33×2 topics
  21. Deep Neural Networks4▲ 29×3 topics
  22. Generative Adversarial Networks4▲ 38×2 topics
  23. Image Classification4▲ 18×2 topics
  24. Meta-Learning4▲ 37×2 topics
  25. Action Recognition4▲ 59×1 topic
  26. Computer Vision4▲ 11×3 topics
  27. Spatiotemporal Features4▲ 59×1 topic
  28. Feature Matching4▲ 46×1 topic
  29. Local Descriptors4▲ 46×1 topic
  30. Transfer Learning4▲ 15×3 topics
  31. Image Recognition4▲ 20×2 topics
  32. Object Detection3▲ 20×1 topic
  33. Semantic Segmentation3▲ 20×1 topic
  34. Domain Adaptation3▲ 49×1 topic
  35. Few-Shot Learning3▲ 49×1 topic
  36. Acoustic Modeling3▲ 65×1 topic
  37. Speaker Verification3▲ 65×1 topic
  38. Depth Estimation3▲ 26×2 topics
  39. Reinforcement Learning3▲ 21×3 topics
  40. Optical Flow3▲ 41×1 topic

Which research topics does Alibaba Group (Cayman Islands) publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications and Human Pose and Action Recognition.

Topic Modeling12Topic Modeling: 12 fractional worksNatural Language Process…12Natural Language Processing Techniques: 12 fractional worksMultimodal Machine Learning Applications: 6 fractional worksHuman Pose and Action Recognition: 4 fractional worksAdvanced Image and Video Retrieval Techniques: 4 fractional worksAdvanced Neural Network Applications: 3 fractional worksDomain Adaptation and Few-Shot Learning: 3 fractional worksSpeech Recognition and Synthesis: 3 fractional worksAdvanced Vision and Imaging: 3 fractional worksGenerative Adversarial Networks and Image Synthesis: 3 fractional works
Artificial IntelligenceComputer Vision and Pattern Recognition

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

  1. 1 Topic Modeling Artificial Intelligence 12 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 12 works
  3. 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 6 works
  4. 4 Human Pose and Action Recognition Computer Vision and Pattern Recognition 4 works
  5. 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 4 works
  6. 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
  7. 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
  8. 8 Speech Recognition and Synthesis Artificial Intelligence 3 works
  9. 9 Advanced Vision and Imaging Computer Vision and Pattern Recognition 3 works
  10. 10 Generative Adversarial Networks and Image Synthesis 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 available53.8%not open46.2%

World: 28% of research is openly available.

with international co-authors78.7%domestic only21.3%

World: 19% is written across borders.

How has Alibaba Group (Cayman Islands)'s research output changed?

Output in 2018–2022 was 1809% higher than in 2013–2017.

20002005201020152020
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 George Town

All research institutions in George Town

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.