Tencent (China)
In research, Tencent (China) stands highest in Computer Science (#80 of 4,417 worldwide), Computer Vision and Pattern Recognition (#29 of 963 worldwide) and Physical Sciences (#445 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing (Computer Vision and Pattern Recognition is 19.4× its share of world research).
- World rank, 2022-now
- #692 of 22,385 · #825 all time
- Rank in China
- #165 of 2,481
- Research works
- 3.2k ▲ 46% vs 2018-21
- Citations
- 93k 29.4 per fractional work
- Top-10% rate
- 21.2% all institutions 10.0%
- vs its own fields
- 1.65× 1.00× is exactly expected
- Open access
- 42% world 40%
- International
- 35% world 18%
What is Tencent (China) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #80 of 4,417 | 21.6% | 1,131 | #127 | |
| Computer Vision and Pattern RecognitionSubfield | #29 of 963 | 25.8% | 404 | #40 | |
| Physical SciencesDomain | #445 of 10,670 | 22.3% | 1,398 | #582 | |
| Artificial IntelligenceSubfield | #80 of 1,862 | 17.8% | 438 | #82 | |
| EngineeringField | #497 of 5,901 | 25.4% | 200 | #776 | |
| Information SystemsSubfield | #156 of 1,321 | 20.1% | 86 | #249 | |
| Signal ProcessingSubfield | #31 of 169 | 21.9% | 80 | #74 | |
| Social SciencesDomain | #1,855 of 9,585 | 18.1% | 124 | #1479 |
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 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.
- Computer Science#127 #80
- Computer Vision and Pattern Recognition#40 #29
- Physical Sciences#582 #445
- Artificial Intelligence#82 #80
- Engineering#776 #497
- Information Systems#249 #156
- Signal Processing#74 #31
- Social Sciences#1,479 #1,855
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 Tencent (China) work in?
In 2022-now, 86% of research at Tencent (China) is in Physical Sciences, 8% in Social Sciences. Its largest fields are Computer Science (70%), Engineering (12%), Medicine (3%). It does 2.2× the world's share of Physical Sciences.
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 26 fields, with their numbers
- Physical Sciences1,51585.6%
- Computer Science1,23369.7%
- Engineering21011.9%
- Physics and Astronomy251.4%
- Environmental Science140.8%
- Materials Science120.7%
- Earth and Planetary Sciences100.6%
- Mathematics70.4%
- Chemistry20.1%
- Energy00.0%
- Chemical Engineering00.0%
- Social Sciences1397.8%
- Social Sciences462.6%
- Decision Sciences331.9%
- Psychology201.1%
- Arts and Humanities171.0%
- Business, Management and Accounting170.9%
- Economics, Econometrics and Finance70.4%
- Life Sciences613.4%
- Health Sciences553.1%
- Medicine502.8%
- Health Professions30.2%
- Nursing10.1%
- Veterinary10.0%
- Dentistry00.0%
What does Tencent (China) specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 19.4× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 431.8 works19×
- Computer Graphics and Computer-Aided DesignSubfield · 28.2 works19×
- Signal ProcessingSubfield · 86.3 works16×
- Artificial IntelligenceSubfield · 484.3 works11×
- Computer ScienceField · 1,232.8 works9.0×
- Computational MechanicsSubfield · 41.8 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, 9.0×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science8.96×1,233 works
- Decision Sciences1.94×33 works
- Engineering0.79×210 works
- Physics and Astronomy0.64×25 works
- Neuroscience0.59×17 works
- Biochemistry, Genetics and Molecular Biology0.37×35 works
- Psychology0.37×20 works
- Earth and Planetary Sciences0.36×10 works
- Mathematics0.34×7 works
- Arts and Humanities0.33×17 works
- Veterinary0.30×1 works
- Business, Management and Accounting0.29×16 works
- Materials Science0.20×12 works
- Social Sciences0.20×46 works
- Economics, Econometrics and Finance0.17×6 works
- Environmental Science0.16×14 works
- Nursing0.16×1 works
- Medicine0.15×50 works
- Immunology and Microbiology0.13×2 works
- Agricultural and Biological Sciences0.07×6 works
- Pharmacology, Toxicology and Pharmaceutics0.07×0 works
- Chemistry0.07×2 works
- Chemical Engineering0.06×0 works
- Health Professions0.06×3 works
- Energy0.03×0 works
- Dentistry0.02×0 works
- Computer Science 9.0×
- Decision Sciences 1.9×
- Engineering 0.8×
- Physics and Astronomy 0.6×
- Neuroscience 0.6×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Psychology 0.4×
- Earth and Planetary Sciences 0.4×
- Mathematics 0.3×
- Arts and Humanities 0.3×
- Veterinary 0.3×
- Business, Management and Accounting 0.3×
- Materials Science 0.2×
- Social Sciences 0.2×
- Economics, Econometrics and Finance 0.2×
- Environmental Science 0.2×
- Nursing 0.2×
- Medicine 0.1×
- Immunology and Microbiology 0.1×
- Agricultural and Biological Sciences 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Chemistry 0.1×
- Chemical Engineering 0.1×
- Health Professions 0.1×
- Energy 0.0×
- Dentistry 0.0×
Who are the top researchers at Tencent (China)?
Ranked on the quality score, Xintao Wang, Shouhong Ding and Wenhan Luo lead among researchers whose main affiliation is Tencent (China).
- 1
Xintao Wang
China · #12,474 worldwide 18k citations · 198 works
- 2
Shouhong Ding
China · #13,106 worldwide 5.7k citations · 199 works
- 3
Wenhan Luo
China · #21,110 worldwide 8.9k citations · 193 works
- 4
Feiyue Huang
China · #23,148 worldwide 12k citations · 219 works
- 5
Ying Yu Tai
China · #24,414 worldwide 14k citations · 229 works
- 6
Chengjie Wang
China · #24,449 worldwide 10k citations · 360 works
- 7
Ruobing Xie
China · #36,737 worldwide 5.4k citations · 224 works
- 8
Ying Shan
China · #40,840 worldwide 14k citations · 575 works
- 9
Yabiao Wang
China · #41,608 worldwide 9k citations · 196 works
- 10
Yibing Song
China · #42,373 worldwide 7.7k citations · 137 works
Which keywords describe research at Tencent (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Representation Learning, Unsupervised Learning, Information Retrieval, Machine Learning and Text Classification.
- Stereo Vision
- Knowledge Graph Embedding
- Heterogeneous Networks
- Graph Convolutional Networks
- Depth Estimation
- Collaborative Filtering
- Domain Adaptation
- Pose Estimation
- Feature Extraction
- Meta-Learning
- Image Captioning
- Semantic Reasoning
- Neural Machine Translation
- Word Representation
- Semi-Supervised Learning
- Machine Translation
- Text Classification
- Unsupervised Learning
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Representation Learning
- Information Retrieval
- Topic Modeling
- Convolutional Networks
- Semantic Similarity
- Corpus Linguistics
- Statistical Machine Translation
- Visual Question Answering
- Multimodal Fusion
- Transfer Learning
- Generative Adversarial Networks
- Deep Neural Networks
- Few-Shot Learning
- Matrix Factorization
- Image Classification
- Computer Vision
- Graph Neural Networks
- Optical Flow
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
- Deep Learning665▲ 11×78 topics
- Neural Networks402▲ 15×34 topics
- Convolutional Neural Networks166▲ 13×14 topics
- Machine Learning165▲ 2.8×69 topics
- Representation Learning116▲ 41×3 topics
- Unsupervised Learning116▲ 43×3 topics
- Information Retrieval104▲ 27×5 topics
- Text Classification96▲ 34×2 topics
- Topic Modeling89▲ 33×2 topics
- Machine Translation89▲ 30×2 topics
- Convolutional Networks87▲ 36×3 topics
- Semi-Supervised Learning87▲ 40×3 topics
- Semantic Similarity87▲ 40×1 topic
- Word Representation87▲ 40×1 topic
- Corpus Linguistics70▲ 19×3 topics
- Neural Machine Translation68▲ 42×1 topic
- Statistical Machine Translation68▲ 42×1 topic
- Semantic Reasoning65▲ 40×2 topics
- Visual Question Answering65▲ 40×2 topics
- Image Captioning64▲ 65×1 topic
- Multimodal Fusion64▲ 65×1 topic
- Meta-Learning57▲ 38×2 topics
- Transfer Learning56▲ 16×3 topics
- Feature Extraction54▲ 6.7×10 topics
- Generative Adversarial Networks54▲ 34×2 topics
- Pose Estimation51▲ 25×3 topics
- Deep Neural Networks49▲ 23×3 topics
- Domain Adaptation48▲ 49×1 topic
- Few-Shot Learning48▲ 49×1 topic
- Collaborative Filtering45▲ 71×1 topic
- Matrix Factorization45▲ 71×1 topic
- Depth Estimation40▲ 29×2 topics
- Image Classification39▲ 12×3 topics
- Graph Convolutional Networks39▲ 19×2 topics
- Computer Vision37▲ 7.5×4 topics
- Heterogeneous Networks36▲ 20×2 topics
- Graph Neural Networks36▲ 38×1 topic
- Knowledge Graph Embedding36▲ 38×1 topic
- Optical Flow36▲ 42×1 topic
- Stereo Vision36▲ 42×1 topic
Which research topics does Tencent (China) publish most on?
By volume in 2022-now: 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 87 works
- 2 Natural Language Processing Techniques Artificial Intelligence 68 works
- 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 64 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 48 works
- 5 Recommender Systems and Techniques Information Systems 45 works
- 6 Advanced Graph Neural Networks Artificial Intelligence 36 works
- 7 Advanced Vision and Imaging Computer Vision and Pattern Recognition 36 works
- 8 Advanced Neural Network Applications Computer Vision and Pattern Recognition 35 works
- 9 Speech Recognition and Synthesis Artificial Intelligence 33 works
- 10 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 33 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: 40% of research is openly available.
World: 18% is written across borders.
How has Tencent (China)'s research output changed?
Output in 2022-2025 was 46% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Tencent (China) as a percentage of every work published that year, 0.0070% in 2024.
Fractional works of Tencent (China) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 28.7% in 2019.
Other research institutions in Shenzhen
- Shenzhen University
- Southern University of Science and Technology
- Chinese University of Hong Kong, Shenzhen
- Huawei Technologies (China)
- Shenzhen Polytechnic University
- Peng Cheng Laboratory
- University Town of Shenzhen
- Shenzhen Technology University
Compare Tencent (China) with
- vs
Carleton University
- vs
Swedish University of Agricultural Sciences
- vs
University of Aberdeen
- vs
Beijing Forestry University
- vs
University of Coimbra
- vs
Johnson & Johnson (United States)
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Questions people ask
What does Tencent publish research on?
In research, Tencent (China) stands highest in Computer Science (#80 of 4,417 worldwide), Computer Vision and Pattern Recognition (#29 of 963 worldwide) and Physical Sciences (#445 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing (Computer Vision and Pattern Recognition is 19.4× its share of world research).
Discussion
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