Science Explorer Interactive view Map
Research facility · Shanghai · ??

Shanghai Artificial Intelligence Laboratory

In research, Shanghai Artificial Intelligence Laboratory stands highest in Computer Science (#37 of 4,667 worldwide), Computer Vision and Pattern Recognition (#31 of 941 worldwide) and Physical Sciences (#707 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 23.9× its share of world research.

shlab.org.cnROR OpenAlex
World rank, 2022–2025
#1,134
of 28,054 · #4,643 all time
Rank in ??
#3
of 692
Research works
698
fractional, all time
Citations
19k
27.4 per fractional work
Top-10% rate
47.7%
record average 16.5%
Open access
32%
world 28%

What is Shanghai Artificial Intelligence Laboratory 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 #37 of 4,667 48.0%363 #416
Computer Vision and Pattern RecognitionSubfield #31 of 941 49.9%188 #204
Physical SciencesDomain #707 of 12,888 48.0%521 #3118
Artificial IntelligenceSubfield #177 of 1,884 44.3%123 #794
EngineeringField #1,029 of 6,636 49.4%116 #4027

Each strip is that field’s whole ranked pool, with the notch where Shanghai Artificial Intelligence Laboratory 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#416 #37
  2. Computer Vision and Pattern Recognition#204 #31
  3. Physical Sciences#3,118 #707
  4. Artificial Intelligence#794 #177
  5. Engineering#4,027 #1,029
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 Shanghai Artificial Intelligence Laboratory specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 23.9× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 188.1 works24×
  2. Artificial IntelligenceSubfield · 123.0 works8.2×
  3. Computer ScienceField · 362.7 works7.5×
← 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: 0.04× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.62× its world share, 21 worksBiochemistry, Geneti…Immunology and Microbiology: 0.05× its world share, 0 worksImmunology and Micro…Neuroscience: 1.24× its world share, 13 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.20× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.11× its world share, 0 worksChemical EngineeringChemistry: 0.51× its world share, 5 worksChemistryComputer Science: 7.48× its world share, 363 worksComputer ScienceEarth and Planetary Sciences: 1.13× its world share, 11 worksEarth and Planetary …Energy: 0.05× its world share, 0 worksEnergyEngineering: 1.24× its world share, 116 worksEngineeringEnvironmental Science: 0.30× its world share, 9 worksEnvironmental ScienceMaterials Science: 0.17× its world share, 4 worksMaterials ScienceMathematics: 0.35× its world share, 3 worksMathematicsPhysics and Astronomy: 0.73× its world share, 10 worksPhysics and AstronomyDentistry: 0.10× its world share, 0 worksDentistryHealth Professions: 0.15× its world share, 2 worksHealth ProfessionsMedicine: 0.27× its world share, 32 worksMedicineVeterinary: 0.04× its world share, 0 worksVeterinaryArts and Humanities: 0.05× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.22× its world share, 4 worksBusiness, Management…Decision Sciences: 0.76× its world share, 5 worksDecision SciencesEconomics, Econometrics and Finance: 0.27× its world share, 4 worksEconomics, Econometr…Psychology: 0.28× its world share, 5 worksPsychologySocial Sciences: 0.17× its world share, 13 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 7.5×. Every wedge is a field page.

Who are the top researchers at Shanghai Artificial Intelligence Laboratory?

Ranked on the composite score, Wenhai Wang, Jiangmiao Pang and Lewei Lu lead among researchers whose main affiliation is Shanghai Artificial Intelligence Laboratory.

  1. 1 Wenhai Wang ?? · #75,698 worldwide 1.5k citations · 24 works
  2. 2 Jiangmiao Pang ?? · #89,261 worldwide 719 citations · 24 works
  3. 3 Lewei Lu ?? · #109,433 worldwide 443 citations · 23 works
  4. 4 Yuenan Hou ?? · #115,846 worldwide 334 citations · 22 works
  5. 5 Yuhang Zang ?? · #232,021 worldwide 190 citations · 29 works
  6. 6 Zhiqi Li ?? · #325,667 worldwide 362 citations · 15 works
  7. 7 Lei Bai ?? · #374,344 worldwide 196 citations · 73 works
  8. 8 Peng Gao ?? · #389,242 worldwide 186 citations · 45 works
  9. 9 Peng Gao ?? · #508,723 worldwide 158 citations · 53 works
  10. 10 Tong He ?? · #605,455 worldwide 134 citations · 35 works
All ranked researchers at Shanghai Artificial Intelligence Laboratory

Which keywords describe research at Shanghai Artificial Intelligence Laboratory?

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, Convolutional Networks, Machine Learning, Representation Learning and Image Classification.

▲ 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 Learning263▲ 12×69 topics
  2. Neural Networks114▲ 12×33 topics
  3. Convolutional Neural Networks70▲ 15×14 topics
  4. Machine Learning62▲ 3.0×64 topics
  5. Unsupervised Learning44▲ 50×3 topics
  6. Convolutional Networks41▲ 47×3 topics
  7. Representation Learning33▲ 38×3 topics
  8. Image Classification30▲ 28×2 topics
  9. Computer Vision30▲ 18×3 topics
  10. Image Recognition28▲ 34×1 topic
  11. Object Detection28▲ 36×1 topic
  12. Image Captioning26▲ 85×1 topic
  13. Visual Question Answering26▲ 52×1 topic
  14. Transfer Learning25▲ 21×3 topics
  15. Semi-Supervised Learning24▲ 35×3 topics
  16. Medical Imaging22▲ 7.0×7 topics
  17. Pose Estimation21▲ 30×2 topics
  18. Feature Extraction21▲ 7.2×9 topics
  19. Meta-Learning20▲ 40×2 topics
  20. Generative Adversarial Networks19▲ 38×2 topics
  21. Information Retrieval19▲ 14×4 topics
  22. Text Classification19▲ 19×3 topics
  23. 3D Reconstruction18▲ 32×2 topics
  24. Point Clouds18▲ 32×2 topics
  25. Domain Adaptation18▲ 57×1 topic
  26. Few-Shot Learning18▲ 57×1 topic
  27. Depth Estimation18▲ 34×2 topics
  28. Action Recognition18▲ 57×1 topic
  29. Spatiotemporal Features18▲ 57×1 topic
  30. Robotics17▲ 11×7 topics
  31. Machine Translation17▲ 16×2 topics
  32. Topic Modeling17▲ 18×2 topics
  33. Semantic Similarity17▲ 22×1 topic
  34. Word Representation17▲ 22×1 topic
  35. Object Recognition16▲ 35×2 topics
  36. Feature Matching16▲ 43×1 topic
  37. Local Descriptors16▲ 43×1 topic
  38. Medical Image Analysis16▲ 14×4 topics
  39. Sparse Representation16▲ 13×6 topics
  40. Optical Flow15▲ 49×1 topic

Which research topics does Shanghai Artificial Intelligence Laboratory publish most on?

By volume in 2022–2025: Advanced Neural Network Applications, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Human Pose and Action Recognition.

Advanced Neural Network Applications: 28 fractional worksMultimodal Machine Learning Applications: 26 fractional worksDomain Adaptation and Fe…18Domain Adaptation and Few-Shot Learning: 18 fractional worksHuman Pose and Action Re…18Human Pose and Action Recognition: 18 fractional worksTopic Modeling17Topic Modeling: 17 fractional worksAdvanced Image and Video Retrieval Techniques: 16 fractional worksAdvanced Vision and Imag…15Advanced Vision and Imaging: 15 fractional works3D Shape Modeling and An…133D Shape Modeling and Analysis: 13 fractional worksNatural Language Process…12Natural Language Processing Techniques: 12 fractional worksRobotics and Sensor-Base…11Robotics and Sensor-Based Localization: 11 fractional works
Computer Vision and Pattern RecognitionArtificial IntelligenceComputational MechanicsAerospace Engineering

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

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 28 works
  2. 2 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 26 works
  3. 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 18 works
  4. 4 Human Pose and Action Recognition Computer Vision and Pattern Recognition 18 works
  5. 5 Topic Modeling Artificial Intelligence 17 works
  6. 6 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 16 works
  7. 7 Advanced Vision and Imaging Computer Vision and Pattern Recognition 15 works
  8. 8 3D Shape Modeling and Analysis Computational Mechanics 13 works
  9. 9 Natural Language Processing Techniques Artificial Intelligence 12 works
  10. 10 Robotics and Sensor-Based Localization Aerospace Engineering 11 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 available32.0%not open68.0%

World: 28% of research is openly available.

with international co-authors41.4%domestic only58.6%

World: 19% is written across borders.

How has Shanghai Artificial Intelligence Laboratory's research output changed?

2020
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 Shanghai

All research institutions in Shanghai

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.