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.
| Field | World rank | Where that sits | Top-10% rate | Works | All 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.
- Computer Science#215 #21
- Computer Vision and Pattern Recognition#78 #23
- Artificial Intelligence#190 #81
- Physical Sciences#2,132 #625
- Engineering#2,738 #980
- Information Systems#610 #206
- Signal Processing#218 #26
- Social Sciences#6,546 #4,299
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.
- Computer Graphics and Computer-Aided DesignSubfield · 26.5 works20×
- Computer Vision and Pattern RecognitionSubfield · 404.0 works20×
- Signal ProcessingSubfield · 79.7 works16×
- Artificial IntelligenceSubfield · 438.2 works11×
- Computer ScienceField · 1,131.1 works8.9×
- Computational MechanicsSubfield · 39.0 works4.1×
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.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 8.9×. Every wedge is a field page.
- Computer Science 8.9×
- Decision Sciences 1.9×
- Engineering 0.8×
- Physics and Astronomy 0.7×
- Neuroscience 0.6×
- Earth and Planetary Sciences 0.4×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Arts and Humanities 0.3×
- Mathematics 0.3×
- Veterinary 0.3×
- Psychology 0.3×
- Business, Management and Accounting 0.3×
- Social Sciences 0.2×
- Materials Science 0.2×
- Economics, Econometrics and Finance 0.2×
- Environmental Science 0.2×
- Medicine 0.1×
- Nursing 0.1×
- Immunology and Microbiology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Chemistry 0.1×
- Agricultural and Biological Sciences 0.1×
- Health Professions 0.1×
- Chemical Engineering 0.1×
- Energy 0.0×
- Dentistry 0.0×
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 Wei Liu China · #275 worldwide 9.7k citations · 371 works
- 2 Xintao Wang China · #10,730 worldwide 1.9k citations · 48 works
- 3 Dan Su China · #10,987 worldwide 979 citations · 80 works
- 4 Lin Ma China · #21,152 worldwide 1.2k citations · 146 works
- 5 Jilin Li China · #30,926 worldwide 698 citations · 51 works
- 6 Peilin Zhao China · #30,977 worldwide 1.1k citations · 96 works
- 7 Ying Tai China · #35,762 worldwide 870 citations · 60 works
- 8 Jun Zhang China · #42,285 worldwide 456 citations · 56 works
- 9 Wenhan Luo China · #56,908 worldwide 512 citations · 59 works
- 10 Yu Rong China · #68,118 worldwide 326 citations · 54 works
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.
- Object Detection
- Sparse Representation
- Computer Vision
- Optical Flow
- Depth Estimation
- Collaborative Filtering
- Few-Shot Learning
- Generative Adversarial Networks
- Feature Extraction
- Meta-Learning
- Image Captioning
- Semantic Reasoning
- Neural Machine Translation
- Word Representation
- Semi-Supervised Learning
- Machine Translation
- Text Classification
- Representation Learning
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Unsupervised Learning
- Information Retrieval
- Convolutional Networks
- Topic Modeling
- Semantic Similarity
- Corpus Linguistics
- Statistical Machine Translation
- Visual Question Answering
- Multimodal Fusion
- Transfer Learning
- Pose Estimation
- Domain Adaptation
- Deep Neural Networks
- Matrix Factorization
- Image Classification
- Stereo Vision
- Graph Convolutional Networks
- Image Recognition
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
- Deep Learning609▲ 11×78 topics
- Neural Networks359▲ 14×34 topics
- Convolutional Neural Networks155▲ 13×14 topics
- Machine Learning152▲ 2.9×69 topics
- Unsupervised Learning106▲ 46×3 topics
- Representation Learning102▲ 45×3 topics
- Information Retrieval93▲ 26×5 topics
- Text Classification86▲ 34×2 topics
- Convolutional Networks85▲ 37×3 topics
- Machine Translation79▲ 29×2 topics
- Topic Modeling78▲ 33×2 topics
- Semi-Supervised Learning78▲ 43×3 topics
- Semantic Similarity77▲ 39×1 topic
- Word Representation77▲ 39×1 topic
- Corpus Linguistics66▲ 19×3 topics
- Neural Machine Translation64▲ 41×1 topic
- Statistical Machine Translation64▲ 41×1 topic
- Semantic Reasoning55▲ 42×2 topics
- Visual Question Answering55▲ 42×2 topics
- Image Captioning54▲ 67×1 topic
- Multimodal Fusion54▲ 67×1 topic
- Meta-Learning53▲ 40×2 topics
- Transfer Learning52▲ 16×3 topics
- Feature Extraction49▲ 6.6×10 topics
- Pose Estimation49▲ 27×3 topics
- Generative Adversarial Networks48▲ 37×2 topics
- Domain Adaptation43▲ 52×1 topic
- Few-Shot Learning43▲ 52×1 topic
- Deep Neural Networks42▲ 24×3 topics
- Collaborative Filtering40▲ 69×1 topic
- Matrix Factorization40▲ 69×1 topic
- Depth Estimation40▲ 29×2 topics
- Image Classification37▲ 13×3 topics
- Optical Flow35▲ 42×1 topic
- Stereo Vision35▲ 42×1 topic
- Computer Vision34▲ 7.8×4 topics
- Graph Convolutional Networks34▲ 19×2 topics
- Sparse Representation33▲ 11×6 topics
- Image Recognition33▲ 15×2 topics
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 77 works
- 2 Natural Language Processing Techniques Artificial Intelligence 64 works
- 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 54 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 43 works
- 5 Recommender Systems and Techniques Information Systems 40 works
- 6 Advanced Vision and Imaging Computer Vision and Pattern Recognition 35 works
- 7 Advanced Neural Network Applications Computer Vision and Pattern Recognition 33 works
- 8 Advanced Graph Neural Networks Artificial Intelligence 31 works
- 9 Human Pose and Action Recognition Computer Vision and Pattern Recognition 30 works
- 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.
World: 28% of research is openly available.
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.
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
- Shenzhen University
- Southern University of Science and Technology
- Shenzhen Institutes of Advanced Technology
- Chinese University of Hong Kong, Shenzhen
- Huawei Technologies (China)
- Shenzhen Polytechnic University
- Peng Cheng Laboratory
- University Town of 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.