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Company · San Mateo · United States

Alibaba Group (United States)

In research, Alibaba Group (United States) stands highest in Computer Science (#137 of 4,667 worldwide), Physical Sciences (#1,592 of 12,888 worldwide) and Artificial Intelligence (#287 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence — Computer Vision and Pattern Recognition is 18.7× its share of world research.

alibabagroup.com/en/global/homeROR OpenAlex
World rank, 2022–2025
#2,737
of 28,054 · #7,208 all time
Rank in United States
#397
of 4,192
Research works
998
▲ 1230% vs 2013–17
Citations
27k
27.1 per fractional work
Top-10% rate
34.7%
record average 16.5%
Open access
55%
world 28%

What is Alibaba Group (United States) 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 #137 of 4,667 35.7%351 #646
Physical SciencesDomain #1,592 of 12,888 35.6%415 #4558
Artificial IntelligenceSubfield #287 of 1,884 35.2%140 #529
Computer Vision and Pattern RecognitionSubfield #164 of 941 32.3%109 #394

Each strip is that field’s whole ranked pool, with the notch where Alibaba Group (United States) 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).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Computer Science#646 #137
  2. Physical Sciences#4,558 #1,592
  3. Artificial Intelligence#529 #287
  4. Computer Vision and Pattern Recognition#394 #164
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Alibaba Group (United States) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 18.7× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 109.5 works19×
  2. Signal ProcessingSubfield · 22.9 works16×
  3. Artificial IntelligenceSubfield · 140.3 works13×
  4. Computer ScienceField · 351.3 works9.7×
  5. Computer Networks and CommunicationsSubfield · 33.5 works8.1×
← 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: 0.08× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.09× its world share, 2 worksBiochemistry, Geneti…Immunology and Microbiology: 0.03× its world share, 0 worksImmunology and Micro…Neuroscience: 0.27× its world share, 2 worksNeuroscienceChemistry: 0.02× its world share, 0 worksChemistryComputer Science: 9.73× its world share, 351 worksComputer ScienceEarth and Planetary Sciences: 0.30× its world share, 2 worksEarth and Planetary …Engineering: 0.74× its world share, 52 worksEngineeringEnvironmental Science: 0.09× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.05× its world share, 1 worksMaterials ScienceMathematics: 0.64× its world share, 4 worksMathematicsPhysics and Astronomy: 0.31× its world share, 3 worksPhysics and AstronomyHealth Professions: 0.04× its world share, 0 worksHealth ProfessionsMedicine: 0.12× its world share, 11 worksMedicineNursing: 0.02× its world share, 0 worksNursingArts and Humanities: 0.15× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 0.30× its world share, 4 worksBusiness, Management…Decision Sciences: 1.69× its world share, 8 worksDecision SciencesEconomics, Econometrics and Finance: 0.27× its world share, 3 worksEconomics, Econometr…Psychology: 0.25× its world share, 4 worksPsychologySocial Sciences: 0.20× its world share, 12 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 9.7×. Every wedge is a field page.

Who are the top researchers at Alibaba Group (United States)?

Ranked on the composite score, Chuanqi Tan, Deli Zhao and Bolin Ding lead among researchers whose main affiliation is Alibaba Group (United States).

  1. 1 Chuanqi Tan United States · #143,339 worldwide 300 citations · 28 works
  2. 2 Deli Zhao United States · #164,463 worldwide 308 citations · 55 works
  3. 3 Bolin Ding United States · #174,403 worldwide 279 citations · 58 works
  4. 4 Yaliang Li United States · #177,030 worldwide 396 citations · 71 works
  5. 5 Weihua Chen United States · #203,193 worldwide 373 citations · 22 works
  6. 6 Fei Huang United States · #361,281 worldwide 380 citations · 88 works
  7. 7 Weifeng Zhang United States · #776,888 worldwide 36 citations · 16 works
  8. 8 Pengjun Xie United States · #855,019 worldwide 117 citations · 37 works
  9. 9 Qi Qian United States · #915,135 worldwide 96 citations · 15 works
  10. 10 Kai Fan United States · #947,502 worldwide 75 citations · 19 works
All ranked researchers at Alibaba Group (United States)

Which keywords describe research at Alibaba Group (United States)?

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, Text Classification, Information Retrieval and Topic Modeling.

▲ 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 Learning161▲ 10×63 topics
  2. Neural Networks101▲ 14×27 topics
  3. Convolutional Neural Networks41▲ 12×13 topics
  4. Machine Learning37▲ 2.5×50 topics
  5. Unsupervised Learning31▲ 47×3 topics
  6. Representation Learning29▲ 45×3 topics
  7. Text Classification27▲ 36×3 topics
  8. Information Retrieval26▲ 26×3 topics
  9. Topic Modeling24▲ 36×2 topics
  10. Machine Translation24▲ 32×2 topics
  11. Semantic Similarity24▲ 43×1 topic
  12. Word Representation24▲ 43×1 topic
  13. Distributed Systems22▲ 29×6 topics
  14. Semi-Supervised Learning21▲ 41×3 topics
  15. Corpus Linguistics21▲ 21×2 topics
  16. Neural Machine Translation21▲ 47×1 topic
  17. Statistical Machine Translation21▲ 47×1 topic
  18. Energy Efficiency19▲ 4.3×10 topics
  19. Convolutional Networks19▲ 29×3 topics
  20. Big Data17▲ 4.1×13 topics
  21. Image Captioning16▲ 70×1 topic
  22. Visual Question Answering16▲ 43×1 topic
  23. Transfer Learning16▲ 18×3 topics
  24. Meta-Learning16▲ 42×2 topics
  25. Cloud Computing15▲ 12×5 topics
  26. Resource Management14▲ 18×2 topics
  27. Virtualization14▲ 37×2 topics
  28. Generative Adversarial Networks14▲ 36×2 topics
  29. Parallel Computing13▲ 24×3 topics
  30. Image Classification13▲ 17×2 topics
  31. Domain Adaptation13▲ 56×1 topic
  32. Few-Shot Learning13▲ 56×1 topic
  33. Data Centers12▲ 45×1 topic
  34. MapReduce12▲ 45×1 topic
  35. Anomaly Detection12▲ 8.8×5 topics
  36. Computer Vision12▲ 9.2×3 topics
  37. Deep Neural Networks12▲ 23×3 topics
  38. Image Recognition11▲ 18×1 topic
  39. Object Detection11▲ 19×1 topic
  40. Pose Estimation11▲ 22×2 topics

Which research topics does Alibaba Group (United States) publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications and Domain Adaptation and Few-Shot Learning.

Topic Modeling24Topic Modeling: 24 fractional worksNatural Language Processing Techniques: 21 fractional worksMultimodal Machine Learn…16Multimodal Machine Learning Applications: 16 fractional worksDomain Adaptation and Fe…13Domain Adaptation and Few-Shot Learning: 13 fractional worksCloud Computing and Resource Management: 12 fractional worksAdvanced Neural Network Applications: 11 fractional worksAdvanced Image and Video…10Advanced Image and Video Retrieval Techniques: 10 fractional worksGenerative Adversarial Networks and Image Synthesis: 10 fractional worksAdvanced Data Storage Technologies: 9 fractional worksAdvanced Vision and Imaging: 8 fractional works
Artificial IntelligenceComputer Vision and Pattern RecognitionInformation SystemsComputer Networks and Communications

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

  1. 1 Topic Modeling Artificial Intelligence 24 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 21 works
  3. 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 16 works
  4. 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 13 works
  5. 5 Cloud Computing and Resource Management Information Systems 12 works
  6. 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 11 works
  7. 7 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 10 works
  8. 8 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 10 works
  9. 9 Advanced Data Storage Technologies Computer Networks and Communications 9 works
  10. 10 Advanced Vision and Imaging Computer Vision and Pattern Recognition 8 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 available55.3%not open44.7%

World: 28% of research is openly available.

with international co-authors58.0%domestic only42.0%

World: 19% is written across borders.

How has Alibaba Group (United States)'s research output changed?

Output in 2018–2022 was 1230% 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 San Mateo

All research institutions in San Mateo

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.