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Company · Shenzhen · China

Tencent (China)

In research, Tencent (China) stands highest in Computer Science (#21 of 4,667 worldwide), Computer Vision and Pattern Recognition (#23 of 941 worldwide) and Artificial Intelligence (#81 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing — Computer Graphics and Computer-Aided Design is 19.8× its share of world research.

World rank, 2022–2025
#1,039
of 28,054 · #3,013 all time
Rank in China
#332
of 3,058
Research works
3.2k
▲ 875% vs 2013–17
Citations
93k
29.4 per fractional work
Top-10% rate
34.3%
record average 16.5%
Open access
42%
world 28%

What is Tencent (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 #21 of 4,667 34.8%1,131 #215
Computer Vision and Pattern RecognitionSubfield #23 of 941 36.5%404 #78
Artificial IntelligenceSubfield #81 of 1,884 32.7%438 #190
Physical SciencesDomain #625 of 12,888 34.9%1,398 #2132
EngineeringField #980 of 6,636 34.6%200 #2738
Information SystemsSubfield #206 of 1,291 43.8%86 #610
Signal ProcessingSubfield #26 of 150 28.1%80 #218
Social SciencesDomain #4,299 of 10,521 25.9%124 #6546

Each strip is that field’s whole ranked pool, with the notch where Tencent (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).

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#215 #21
  2. Computer Vision and Pattern Recognition#78 #23
  3. Artificial Intelligence#190 #81
  4. Physical Sciences#2,132 #625
  5. Engineering#2,738 #980
  6. Information Systems#610 #206
  7. Signal Processing#218 #26
  8. Social Sciences#6,546 #4,299
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 Tencent (China) specialise in?

Where its research is concentrated relative to its size: Computer Graphics and Computer-Aided Design takes 19.8× the share of its output that it takes of world research.

  1. Computer Graphics and Computer-Aided DesignSubfield · 26.5 works20×
  2. Computer Vision and Pattern RecognitionSubfield · 404.0 works20×
  3. Signal ProcessingSubfield · 79.7 works16×
  4. Artificial IntelligenceSubfield · 438.2 works11×
  5. Computer ScienceField · 1,131.1 works8.9×
  6. Computational MechanicsSubfield · 39.0 works4.1×
← 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: 0.06× its world share, 5 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.37× its world share, 32 worksBiochemistry, Geneti…Immunology and Microbiology: 0.12× its world share, 2 worksImmunology and Micro…Neuroscience: 0.60× its world share, 16 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.08× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.05× its world share, 0 worksChemical EngineeringChemistry: 0.07× its world share, 2 worksChemistryComputer Science: 8.94× its world share, 1,131 worksComputer ScienceEarth and Planetary Sciences: 0.39× its world share, 10 worksEarth and Planetary …Energy: 0.02× its world share, 0 worksEnergyEngineering: 0.82× its world share, 200 worksEngineeringEnvironmental Science: 0.17× its world share, 14 worksEnvironmental ScienceMaterials Science: 0.19× its world share, 10 worksMaterials ScienceMathematics: 0.33× its world share, 6 worksMathematicsPhysics and Astronomy: 0.67× its world share, 24 worksPhysics and AstronomyDentistry: 0.02× its world share, 0 worksDentistryHealth Professions: 0.06× its world share, 3 worksHealth ProfessionsMedicine: 0.15× its world share, 46 worksMedicineNursing: 0.13× its world share, 1 worksNursingVeterinary: 0.33× its world share, 1 worksVeterinaryArts and Humanities: 0.34× its world share, 16 worksArts and HumanitiesBusiness, Management and Accounting: 0.29× its world share, 15 worksBusiness, Management…Decision Sciences: 1.86× its world share, 29 worksDecision SciencesEconomics, Econometrics and Finance: 0.18× its world share, 6 worksEconomics, Econometr…Psychology: 0.31× its world share, 16 worksPsychologySocial Sciences: 0.20× its world share, 42 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 8.9×. Every wedge is a field page.

Who are the top researchers at Tencent (China)?

Ranked on the composite score, Wei Liu, Xintao Wang and Dan Su lead among researchers whose main affiliation is Tencent (China).

  1. 1 Wei Liu China · #275 worldwide 9.7k citations · 371 works
  2. 2 Xintao Wang China · #10,730 worldwide 1.9k citations · 48 works
  3. 3 Dan Su China · #10,987 worldwide 979 citations · 80 works
  4. 4 Lin Ma China · #21,152 worldwide 1.2k citations · 146 works
  5. 5 Jilin Li China · #30,926 worldwide 698 citations · 51 works
  6. 6 Peilin Zhao China · #30,977 worldwide 1.1k citations · 96 works
  7. 7 Ying Tai China · #35,762 worldwide 870 citations · 60 works
  8. 8 Jun Zhang China · #42,285 worldwide 456 citations · 56 works
  9. 9 Wenhan Luo China · #56,908 worldwide 512 citations · 59 works
  10. 10 Yu Rong China · #68,118 worldwide 326 citations · 54 works
All ranked researchers at Tencent (China)

Which keywords describe research at Tencent (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, Machine Learning and Text 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 Learning609▲ 11×78 topics
  2. Neural Networks359▲ 14×34 topics
  3. Convolutional Neural Networks155▲ 13×14 topics
  4. Machine Learning152▲ 2.9×69 topics
  5. Unsupervised Learning106▲ 46×3 topics
  6. Representation Learning102▲ 45×3 topics
  7. Information Retrieval93▲ 26×5 topics
  8. Text Classification86▲ 34×2 topics
  9. Convolutional Networks85▲ 37×3 topics
  10. Machine Translation79▲ 29×2 topics
  11. Topic Modeling78▲ 33×2 topics
  12. Semi-Supervised Learning78▲ 43×3 topics
  13. Semantic Similarity77▲ 39×1 topic
  14. Word Representation77▲ 39×1 topic
  15. Corpus Linguistics66▲ 19×3 topics
  16. Neural Machine Translation64▲ 41×1 topic
  17. Statistical Machine Translation64▲ 41×1 topic
  18. Semantic Reasoning55▲ 42×2 topics
  19. Visual Question Answering55▲ 42×2 topics
  20. Image Captioning54▲ 67×1 topic
  21. Multimodal Fusion54▲ 67×1 topic
  22. Meta-Learning53▲ 40×2 topics
  23. Transfer Learning52▲ 16×3 topics
  24. Feature Extraction49▲ 6.6×10 topics
  25. Pose Estimation49▲ 27×3 topics
  26. Generative Adversarial Networks48▲ 37×2 topics
  27. Domain Adaptation43▲ 52×1 topic
  28. Few-Shot Learning43▲ 52×1 topic
  29. Deep Neural Networks42▲ 24×3 topics
  30. Collaborative Filtering40▲ 69×1 topic
  31. Matrix Factorization40▲ 69×1 topic
  32. Depth Estimation40▲ 29×2 topics
  33. Image Classification37▲ 13×3 topics
  34. Optical Flow35▲ 42×1 topic
  35. Stereo Vision35▲ 42×1 topic
  36. Computer Vision34▲ 7.8×4 topics
  37. Graph Convolutional Networks34▲ 19×2 topics
  38. Sparse Representation33▲ 11×6 topics
  39. Image Recognition33▲ 15×2 topics
  40. Object Detection33▲ 16×1 topic

Which research topics does Tencent (China) 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.

  1. 1 Topic Modeling Artificial Intelligence 77 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 64 works
  3. 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 54 works
  4. 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 43 works
  5. 5 Recommender Systems and Techniques Information Systems 40 works
  6. 6 Advanced Vision and Imaging Computer Vision and Pattern Recognition 35 works
  7. 7 Advanced Neural Network Applications Computer Vision and Pattern Recognition 33 works
  8. 8 Advanced Graph Neural Networks Artificial Intelligence 31 works
  9. 9 Human Pose and Action Recognition Computer Vision and Pattern Recognition 30 works
  10. 10 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 30 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 available42.1%not open57.9%

World: 28% of research is openly available.

with international co-authors34.8%domestic only65.2%

World: 19% is written across borders.

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

Output in 2018–2022 was 875% 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 Shenzhen

All research institutions in Shenzhen

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.