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Shanghai Artificial Intelligence Laboratory

In research, Shanghai Artificial Intelligence Laboratory stands highest in Computer Science (#161 of 4,417 worldwide), Computer Vision and Pattern Recognition (#50 of 963 worldwide) and Physical Sciences (#594 of 10,670 worldwide), 2022-now. 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 23.6× its share of world research).

World rank, 2022-now
#1,158
of 22,385 · #2,115 all time
Rank in ??
#2
of 487
Research works
698
▲ 2758% vs 2018-21
Citations
19k
27.4 per fractional work
Top-10% rate
30.1%
all institutions 10.0%
vs its own fields
1.67×
1.00× is exactly expected
Open access
32%
world 40%
International
41%
world 18%
Shanghai Artificial Intelligence Laboratory

What is Shanghai Artificial Intelligence Laboratory known for in research?

The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Computer ScienceField #161 of 4,417 30.9%363 #418
Computer Vision and Pattern RecognitionSubfield #50 of 963 33.0%188 #123
Physical SciencesDomain #594 of 10,670 32.1%521 #1060
Artificial IntelligenceSubfield #195 of 1,862 25.4%123 #391
EngineeringField #705 of 5,901 37.1%116 #1403

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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).

Which of those standings moved

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

  1. Computer Science#418 #161
  2. Computer Vision and Pattern Recognition#123 #50
  3. Physical Sciences#1,060 #594
  4. Artificial Intelligence#391 #195
  5. Engineering#1,403 #705
all time2022-now, better2022-now, worse

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

Which fields of science does Shanghai Artificial Intelligence Laboratory work in?

In 2022-now, 83% of research at Shanghai Artificial Intelligence Laboratory is in Physical Sciences, 6% in Life Sciences. Its largest fields are Computer Science (58%), Engineering (18%), Medicine (5%). It does 2.1× the world's share of Physical Sciences.

Physical Sciences: 564 fractional works · 83.4% of its workComputer Science: 394 fractional works · 58.2% of its workComputer Vision and Pattern Recognition: 201 fractional works · 29.7% of its workArtificial Intelligence: 136 fractional works · 20.1% of its workSignal Processing: 12 fractional works · 1.8% of its workComputer Graphics and Computer-Aided Design: 10 fractional works · 1.5% of its workComputer Networks and Communications: 10 fractional works · 1.5% of its workInformation Systems: 8 fractional works · 1.2% of its workHardware and Architecture: 6 fractional works · 0.9% of its workComputational Theory and Mathematics: 5 fractional works · 0.8% of its workHuman-Computer Interaction: 3 fractional works · 0.5% of its workSmaller subfields together: 2 fractional works · 0.3% of its workEngineering: 122 fractional works · 18.0% of its workControl and Systems Engineering: 18 fractional works · 2.7% of its workElectrical and Electronic Engineering: 17 fractional works · 2.6% of its workAerospace Engineering: 17 fractional works · 2.4% of its workComputational Mechanics: 16 fractional works · 2.4% of its workBiomedical Engineering: 13 fractional works · 1.9% of its workMedia Technology: 13 fractional works · 1.9% of its workAutomotive Engineering: 8 fractional works · 1.2% of its workBuilding and Construction: 7 fractional works · 1.0% of its workOcean Engineering: 4 fractional works · 0.6% of its workMechanical Engineering: 3 fractional works · 0.5% of its workIndustrial and Manufacturing Engineering: 2 fractional works · 0.4% of its workSafety, Risk, Reliability and Quality: 2 fractional works · 0.3% of its workCivil and Structural Engineering: 1 fractional works · 0.2% of its workEarth and Planetary Sciences: 13 fractional works · 1.9% of its workGeology: 6 fractional works · 0.8% of its workAtmospheric Science: 5 fractional works · 0.7% of its workSmaller subfields together: 2 fractional works · 0.3% of its workPhysics and Astronomy: 12 fractional works · 1.7% of its workStatistical and Nonlinear Physics: 5 fractional works · 0.8% of its workAtomic and Molecular Physics, and Optics: 2 fractional works · 0.4% of its workInstrumentation: 2 fractional works · 0.3% of its workSmaller subfields together: 2 fractional works · 0.3% of its workEnvironmental Science: 10 fractional works · 1.5% of its workEnvironmental Engineering: 6 fractional works · 1.0% of its workGlobal and Planetary Change: 2 fractional works · 0.2% of its workSmaller subfields together: 2 fractional works · 0.3% of its workChemistry: 5 fractional works · 0.8% of its workOrganic Chemistry: 4 fractional works · 0.6% of its workSmaller subfields together: 1 fractional works · 0.2% of its workMaterials Science: 5 fractional works · 0.7% of its workMaterials Chemistry: 4 fractional works · 0.5% of its workSmaller subfields together: 1 fractional works · 0.2% of its workMathematics: 3 fractional works · 0.5% of its workStatistics and Probability: 1 fractional works · 0.2% of its workSmaller subfields together: 2 fractional works · 0.3% of its workEnergy: 0 fractional works · 0.0% of its workChemical Engineering: 0 fractional works · 0.0% of its workLife Sciences: 39 fractional works · 5.7% of its workBiochemistry, Genetics and Molecular Biology: 22 fractional works · 3.3% of its workMolecular Biology: 17 fractional works · 2.6% of its workBiophysics: 2 fractional works · 0.3% of its workSmaller subfields together: 3 fractional works · 0.4% of its workNeuroscience: 14 fractional works · 2.1% of its workCognitive Neuroscience: 10 fractional works · 1.5% of its workNeurology: 3 fractional works · 0.4% of its workSmaller subfields together: 1 fractional works · 0.2% of its workAgricultural and Biological Sciences: 2 fractional works · 0.2% of its workPharmacology, Toxicology and Pharmaceutics: 0 fractional works · 0.1% of its workImmunology and Microbiology: 0 fractional works · 0.1% of its workHealth Sciences: 38 fractional works · 5.6% of its workMedicine: 35 fractional works · 5.1% of its workRadiology, Nuclear Medicine and Imaging: 15 fractional works · 2.2% of its workOncology: 3 fractional works · 0.5% of its workHealth Informatics: 2 fractional works · 0.3% of its workPulmonary and Respiratory Medicine: 2 fractional works · 0.3% of its workSmaller subfields together: 12 fractional works · 1.8% of its workHealth Professions: 3 fractional works · 0.4% of its workHealth Information Management: 1 fractional works · 0.2% of its workSmaller subfields together: 1 fractional works · 0.2% of its workDentistry: 0 fractional works · 0.0% of its workSocial Sciences: 36 fractional works · 5.3% of its workSocial Sciences: 14 fractional works · 2.1% of its workTransportation: 5 fractional works · 0.7% of its workSociology and Political Science: 4 fractional works · 0.5% of its workGeography, Planning and Development: 2 fractional works · 0.2% of its workSmaller subfields together: 4 fractional works · 0.7% of its workPsychology: 7 fractional works · 1.0% of its workSocial Psychology: 4 fractional works · 0.6% of its workExperimental and Cognitive Psychology: 2 fractional works · 0.3% of its workSmaller subfields together: 1 fractional works · 0.2% of its workDecision Sciences: 5 fractional works · 0.8% of its workManagement Science and Operations Research: 4 fractional works · 0.6% of its workSmaller subfields together: 1 fractional works · 0.1% of its workBusiness, Management and Accounting: 5 fractional works · 0.7% of its workManagement Information Systems: 2 fractional works · 0.3% of its workSmaller subfields together: 3 fractional works · 0.4% of its workEconomics, Econometrics and Finance: 4 fractional works · 0.6% of its workFinance: 2 fractional works · 0.3% of its workEconomics and Econometrics: 2 fractional works · 0.3% of its workArts and Humanities: 1 fractional works · 0.2% of its workALL ITS WORKShanghaiArtificial…677fractional works, 2022-now
Life Sciences6%Physical Sciences83%Health Sciences6%Social Sciences5%

Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.

Its 4 domains and 25 fields, with their numbers
    1. Computer Science39458.2%
    2. Engineering12218.0%
    3. Earth and Planetary Sciences131.9%
    4. Physics and Astronomy121.7%
    5. Environmental Science101.5%
    6. Chemistry50.8%
    7. Materials Science50.7%
    8. Mathematics30.5%
    9. Energy00.0%
    10. Chemical Engineering00.0%
    1. Biochemistry, Genetics and Molecular Biology223.3%
    2. Neuroscience142.1%
    3. Agricultural and Biological Sciences20.2%
    4. Pharmacology, Toxicology and Pharmaceutics00.1%
    5. Immunology and Microbiology00.1%
    1. Medicine355.1%
    2. Health Professions30.4%
    3. Dentistry00.0%
    4. Veterinary00.0%
    1. Social Sciences142.1%
    2. Psychology71.0%
    3. Decision Sciences50.8%
    4. Business, Management and Accounting50.7%
    5. Economics, Econometrics and Finance40.6%
    6. Arts and Humanities10.2%
All of science, and how each field's share has moved since 1950: the Science domain explorer

What does Shanghai Artificial Intelligence Laboratory specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 23.6× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 201.0 works24×
  2. Artificial IntelligenceSubfield · 136.0 works8.3×
  3. Computer ScienceField · 394.1 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: 0.05× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.62× its world share, 22 worksBiochemistry, Geneti…Immunology and Microbiology: 0.05× its world share, 0 worksImmunology and Micro…Neuroscience: 1.29× its world share, 14 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.18× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.10× its world share, 0 worksChemical EngineeringChemistry: 0.48× its world share, 5 worksChemistryComputer Science: 7.49× its world share, 394 worksComputer ScienceEarth and Planetary Sciences: 1.19× its world share, 13 worksEarth and Planetary …Energy: 0.05× its world share, 0 worksEnergyEngineering: 1.20× its world share, 122 worksEngineeringEnvironmental Science: 0.31× its world share, 10 worksEnvironmental ScienceMaterials Science: 0.20× its world share, 5 worksMaterials ScienceMathematics: 0.41× its world share, 3 worksMathematicsPhysics and Astronomy: 0.78× its world share, 12 worksPhysics and AstronomyDentistry: 0.10× its world share, 0 worksDentistryHealth Professions: 0.15× its world share, 3 worksHealth ProfessionsMedicine: 0.27× its world share, 35 worksMedicineVeterinary: 0.04× its world share, 0 worksVeterinaryArts and Humanities: 0.05× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.21× its world share, 4 worksBusiness, Management…Decision Sciences: 0.82× its world share, 5 worksDecision SciencesEconomics, Econometrics and Finance: 0.28× its world share, 4 worksEconomics, Econometr…Psychology: 0.34× its world share, 7 worksPsychologySocial Sciences: 0.17× its world share, 14 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.

All 25 fields, with their numbers
  1. Computer Science7.49×394 works
  2. Neuroscience1.29×14 works
  3. Engineering1.20×122 works
  4. Earth and Planetary Sciences1.19×13 works
  5. Decision Sciences0.82×5 works
  6. Physics and Astronomy0.78×12 works
  7. Biochemistry, Genetics and Molecular Biology0.62×22 works
  8. Chemistry0.48×5 works
  9. Mathematics0.41×3 works
  10. Psychology0.34×7 works
  11. Environmental Science0.31×10 works
  12. Economics, Econometrics and Finance0.28×4 works
  13. Medicine0.27×35 works
  14. Business, Management and Accounting0.21×4 works
  15. Materials Science0.20×5 works
  16. Pharmacology, Toxicology and Pharmaceutics0.18×0 works
  17. Social Sciences0.17×14 works
  18. Health Professions0.15×3 works
  19. Chemical Engineering0.10×0 works
  20. Dentistry0.10×0 works
  21. Agricultural and Biological Sciences0.05×2 works
  22. Immunology and Microbiology0.05×0 works
  23. Energy0.05×0 works
  24. Arts and Humanities0.05×1 works
  25. Veterinary0.04×0 works

Who are the top researchers at Shanghai Artificial Intelligence Laboratory?

Ranked on the quality score, Jiangmiao Pang, Yuenan Hou and Junjun He lead among researchers whose main affiliation is Shanghai Artificial Intelligence Laboratory.

  1. 1 Jiangmiao Pang #22,189 worldwide 9.4k citations · 116 works
  2. 2 Yuenan Hou #55,385 worldwide 3k citations · 82 works
  3. 3 Junjun He #73,154 worldwide 3.7k citations · 211 works
  4. 4 Yuhang Zang #106,047 worldwide 2.4k citations · 92 works
  5. 5 Shixiang Tang #124,739 worldwide 1.4k citations · 95 works
  6. 6 Conghui He #133,686 worldwide 3.1k citations · 202 works
  7. 7 Botian Shi #142,098 worldwide 1.7k citations · 107 works
  8. 8 Lei Bai #148,335 worldwide 4.5k citations · 308 works
  9. 9 Lewei Lu #152,625 worldwide 6.2k citations · 67 works
  10. 10 Haodong Duan #158,672 worldwide 2.2k citations · 77 works
All ranked researchers at Shanghai Artificial Intelligence Laboratory

What are the most cited papers from Shanghai Artificial Intelligence Laboratory?

The most cited paper from Shanghai Artificial Intelligence Laboratory is "Object Detection in 20 Years: A Survey" (Zhengxia Zou, Keyan Chen, Zhenwei Shi et al., 2023), with 3,119 citations. Next come "PVT v2: Improved baselines with pyramid vision transformer" (2,391) and "Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data" (1,630).

Most cited papers
#PaperReleasedCitations
1 Object Detection in 20 Years: A Survey Zhengxia Zou, Keyan Chen, Zhenwei Shi et al. · Proceedings of the IEEE 27 Jan 2023 3,119
2 PVT v2: Improved baselines with pyramid vision transformer Wenhai Wang, Enze Xie, Xiang Li et al. · Computational Visual Media Open access 16 Mar 2022 2,391
3 Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang, Liangbin Xie, Chao Dong et al. Conference paper Oct 2021 1,630
4 BEVFormer: Learning Bird’s-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers Zhiqi Li, Wenhai Wang, Hongyang Li et al. · Lecture notes in computer science Conference paper 2022 1,323
5 TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Jieneng Chen, Jieru Mei, Xianhang Li et al. · Medical Image Analysis Open access 22 Jul 2024 1,294
All 60 most cited papers, with filters and sorting

Which keywords describe research at Shanghai Artificial Intelligence Laboratory?

By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Machine Learning, Convolutional Networks, 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-now 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 Learning282▲ 12×69 topics
  2. Neural Networks124▲ 12×33 topics
  3. Convolutional Neural Networks74▲ 15×14 topics
  4. Machine Learning69▲ 3.1×66 topics
  5. Unsupervised Learning49▲ 47×3 topics
  6. Convolutional Networks43▲ 46×3 topics
  7. Representation Learning38▲ 35×3 topics
  8. Image Classification32▲ 25×2 topics
  9. Computer Vision31▲ 17×3 topics
  10. Image Recognition30▲ 30×1 topic
  11. Object Detection30▲ 32×1 topic
  12. Image Captioning30▲ 78×1 topic
  13. Visual Question Answering30▲ 48×1 topic
  14. Transfer Learning27▲ 21×3 topics
  15. Semi-Supervised Learning27▲ 33×3 topics
  16. Medical Imaging24▲ 6.6×8 topics
  17. Meta-Learning22▲ 38×2 topics
  18. Pose Estimation22▲ 29×2 topics
  19. Generative Adversarial Networks22▲ 36×2 topics
  20. Feature Extraction22▲ 7.0×9 topics
  21. Information Retrieval21▲ 14×4 topics
  22. Text Classification21▲ 19×3 topics
  23. Domain Adaptation20▲ 54×1 topic
  24. Few-Shot Learning20▲ 54×1 topic
  25. 3D Reconstruction19▲ 31×2 topics
  26. Point Clouds19▲ 31×2 topics
  27. Topic Modeling19▲ 18×2 topics
  28. Machine Translation19▲ 17×2 topics
  29. Semantic Similarity19▲ 22×1 topic
  30. Word Representation19▲ 22×1 topic
  31. Action Recognition18▲ 55×1 topic
  32. Depth Estimation18▲ 34×2 topics
  33. Spatiotemporal Features18▲ 55×1 topic
  34. Robotics18▲ 11×7 topics
  35. Object Recognition17▲ 34×2 topics
  36. Medical Image Analysis17▲ 14×4 topics
  37. Feature Matching17▲ 43×1 topic
  38. Local Descriptors17▲ 43×1 topic
  39. Sparse Representation16▲ 12×6 topics
  40. Optical Flow16▲ 48×1 topic

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

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

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 30 works
  2. 2 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 30 works
  3. 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 20 works
  4. 4 Topic Modeling Artificial Intelligence 19 works
  5. 5 Human Pose and Action Recognition Computer Vision and Pattern Recognition 18 works
  6. 6 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 17 works
  7. 7 Advanced Vision and Imaging Computer Vision and Pattern Recognition 16 works
  8. 8 3D Shape Modeling and Analysis Computational Mechanics 14 works
  9. 9 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 13 works
  10. 10 Natural Language Processing Techniques Artificial Intelligence 13 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: 40% of research is openly available.

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

World: 18% is written across borders.

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

Output in 2022-2025 was 2758% higher than in 2018-2021.

still counting20202025
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

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Shanghai Artificial Intelligence Laboratory on Science Explorer

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Its overall standing, then the domains, fields and subfields where Shanghai Artificial Intelligence Laboratory is in the world's top ten or its top 1%. Each has an image of its own.

Overall

Fields

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.

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