Huawei Technologies (China)
In research, Huawei Technologies (China) stands highest in Computer Science (#239 of 4,417 worldwide), Physical Sciences (#690 of 10,670 worldwide) and Engineering (#672 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Software, Hardware and Architecture and Computer Networks and Communications (Software is 16.2× its share of world research).
- World rank, 2022-now
- #1,344 of 22,385 · #2,268 all time
- Rank in China
- #300 of 2,481
- Research works
- 6.1k ▲ 89% vs 2018-21
- Citations
- 80k 13.1 per fractional work
- Top-10% rate
- 15.2% all institutions 10.0%
- vs its own fields
- 1.21× 1.00× is exactly expected
- Open access
- 24% world 40%
- International
- 28% world 18%
What is Huawei Technologies (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 | #239 of 4,417 | 16.2% | 1,099 | #430 | |
| Physical SciencesDomain | #690 of 10,670 | 15.4% | 2,018 | #1140 | |
| EngineeringField | #672 of 5,901 | 14.1% | 751 | #1020 | |
| Artificial IntelligenceSubfield | #240 of 1,862 | 14.3% | 381 | #472 | |
| Electrical and Electronic EngineeringSubfield | #337 of 2,176 | 13.5% | 420 | #473 | |
| Computer Vision and Pattern RecognitionSubfield | #203 of 963 | 16.3% | 216 | #356 | |
| Computer Networks and CommunicationsSubfield | #171 of 728 | 15.8% | 210 | #369 | |
| Information SystemsSubfield | #337 of 1,321 | 21.9% | 121 | #703 | |
| Life SciencesDomain | #1,869 of 6,403 | 20.8% | 107 | #3436 | |
| Health SciencesDomain | #4,455 of 9,902 | 11.7% | 100 | #7986 |
Each strip is that field's whole ranked pool, with the notch where Huawei Technologies (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#430 #239
- Physical Sciences#1,140 #690
- Engineering#1,020 #672
- Artificial Intelligence#472 #240
- Electrical and Electronic Engineering#473 #337
- Computer Vision and Pattern Recognition#356 #203
- Computer Networks and Communications#369 #171
- Information Systems#703 #337
- Life Sciences#3,436 #1,869
- Health Sciences#7,986 #4,455
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 Huawei Technologies (China) work in?
In 2022-now, 86% of research at Huawei Technologies (China) is in Physical Sciences, 5% in Social Sciences. Its largest fields are Computer Science (47%), Engineering (32%), Medicine (4%). 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 Sciences2,16685.6%
- Computer Science1,17946.6%
- Engineering80131.7%
- Environmental Science552.2%
- Materials Science441.8%
- Physics and Astronomy421.7%
- Earth and Planetary Sciences160.6%
- Mathematics100.4%
- Energy90.4%
- Chemistry70.3%
- Chemical Engineering30.1%
- Social Sciences1325.2%
- Social Sciences431.7%
- Decision Sciences341.3%
- Business, Management and Accounting240.9%
- Psychology180.7%
- Economics, Econometrics and Finance80.3%
- Arts and Humanities50.2%
- Life Sciences1224.8%
- Health Sciences1094.3%
- Medicine963.8%
- Health Professions80.3%
- Nursing20.1%
- Dentistry20.1%
- Veterinary00.0%
What does Huawei Technologies (China) specialise in?
Where its research is concentrated relative to its size: Software takes 16.2× the share of its output that it takes of world research.
- SoftwareSubfield · 26.3 works16×
- Hardware and ArchitectureSubfield · 43.2 works15×
- Computer Networks and CommunicationsSubfield · 223.6 works9.9×
- Signal ProcessingSubfield · 61.6 works8.0×
- Computer Vision and Pattern RecognitionSubfield · 236.8 works7.4×
- Artificial IntelligenceSubfield · 404.2 works6.6×
- Computer ScienceField · 1,178.9 works6.0×
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, 6.0×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science5.99×1,179 works
- Engineering2.11×801 works
- Decision Sciences1.40×34 works
- Physics and Astronomy0.74×42 works
- Materials Science0.50×44 works
- Neuroscience0.49×20 works
- Environmental Science0.44×55 works
- Energy0.40×9 works
- Agricultural and Biological Sciences0.39×48 works
- Earth and Planetary Sciences0.39×16 works
- Biochemistry, Genetics and Molecular Biology0.34×46 works
- Mathematics0.34×10 works
- Chemical Engineering0.32×3 works
- Business, Management and Accounting0.29×24 works
- Immunology and Microbiology0.28×7 works
- Pharmacology, Toxicology and Pharmaceutics0.25×2 works
- Psychology0.23×18 works
- Medicine0.20×96 works
- Chemistry0.18×7 works
- Nursing0.18×2 works
- Dentistry0.15×2 works
- Economics, Econometrics and Finance0.15×8 works
- Veterinary0.14×0 works
- Social Sciences0.14×43 works
- Health Professions0.13×8 works
- Arts and Humanities0.06×5 works
- Computer Science 6.0×
- Engineering 2.1×
- Decision Sciences 1.4×
- Physics and Astronomy 0.7×
- Materials Science 0.5×
- Neuroscience 0.5×
- Environmental Science 0.4×
- Energy 0.4×
- Agricultural and Biological Sciences 0.4×
- Earth and Planetary Sciences 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Mathematics 0.3×
- Chemical Engineering 0.3×
- Business, Management and Accounting 0.3×
- Immunology and Microbiology 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Psychology 0.2×
- Medicine 0.2×
- Chemistry 0.2×
- Nursing 0.2×
- Dentistry 0.1×
- Economics, Econometrics and Finance 0.1×
- Veterinary 0.1×
- Social Sciences 0.1×
- Health Professions 0.1×
- Arts and Humanities 0.1×
Who are the top researchers at Huawei Technologies (China)?
Ranked on the quality score, Qi Chuan Tian, Lingxi Xie and Ruiming Tang lead among researchers whose main affiliation is Huawei Technologies (China).
- 1
Qi Chuan Tian
China · #18,253 worldwide 46k citations · 749 works
- 2
Lingxi Xie
China · #23,456 worldwide 21k citations · 310 works
- 3
Ruiming Tang
China · #83,681 worldwide 7.9k citations · 354 works
- 4
Jieming Zhu
China · #88,783 worldwide 6.8k citations · 158 works
- 5
Xiuqiang He
China · #96,504 worldwide 7.8k citations · 200 works
- 6
Yangxing Li
China · #143,180 worldwide 4.6k citations · 50 works
- 7
Huifeng Guo
China · #165,808 worldwide 5.6k citations · 154 works
- 8
Weiwen Liu
China · #228,280 worldwide 1.8k citations · 130 works
- 9
Quanyu Dai
China · #261,123 worldwide 1.8k citations · 99 works
- 10
Zhengdong Lu
China · #292,489 worldwide 10k citations · 126 works
Which keywords describe research at Huawei Technologies (China)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Energy Efficiency, Convolutional Neural Networks, Information Retrieval, Wireless Networks and Distributed Systems.
- Network Coding
- Channel Modeling
- Coherent Detection
- Spectral Efficiency
- Channel Estimation
- Image Classification
- Optical Fiber
- Parallel Computing
- Anomaly Detection
- Wireless Communications
- Neural Machine Translation
- Semi-Supervised Learning
- Heterogeneous Networks
- Word Representation
- Machine Translation
- Representation Learning
- Distributed Systems
- Information Retrieval
- Energy Efficiency
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Wireless Networks
- Text Classification
- Topic Modeling
- Semantic Similarity
- Big Data
- Unsupervised Learning
- Corpus Linguistics
- Statistical Machine Translation
- 5G Networks
- Massive MIMO
- Beamforming
- IoT Security
- Resource Management
- Convolutional Networks
- MIMO Systems
- Digital Signal Processing
- Meta-Learning
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 Learning458▲ 5.2×80 topics
- Neural Networks273▲ 7.0×37 topics
- Machine Learning199▲ 2.4×79 topics
- Energy Efficiency124▲ 5.3×25 topics
- Convolutional Neural Networks92▲ 5.0×14 topics
- Information Retrieval74▲ 13×4 topics
- Wireless Networks71▲ 19×9 topics
- Distributed Systems70▲ 16×6 topics
- Text Classification67▲ 16×3 topics
- Representation Learning66▲ 16×3 topics
- Topic Modeling63▲ 16×2 topics
- Machine Translation62▲ 15×2 topics
- Semantic Similarity61▲ 20×1 topic
- Word Representation61▲ 20×1 topic
- Big Data61▲ 2.5×24 topics
- Heterogeneous Networks59▲ 23×2 topics
- Unsupervised Learning56▲ 15×3 topics
- Semi-Supervised Learning56▲ 18×3 topics
- Corpus Linguistics53▲ 10.0×4 topics
- Neural Machine Translation52▲ 22×1 topic
- Statistical Machine Translation52▲ 22×1 topic
- Wireless Communications51▲ 12×5 topics
- 5G Networks50▲ 10.0×5 topics
- Anomaly Detection48▲ 6.6×5 topics
- Massive MIMO46▲ 23×3 topics
- Parallel Computing44▲ 15×6 topics
- Beamforming43▲ 16×4 topics
- Optical Fiber42▲ 16×3 topics
- IoT Security41▲ 5.2×3 topics
- Image Classification39▲ 8.2×3 topics
- Resource Management39▲ 9.1×5 topics
- Channel Estimation39▲ 17×4 topics
- Convolutional Networks38▲ 11×3 topics
- Spectral Efficiency38▲ 23×2 topics
- MIMO Systems37▲ 18×3 topics
- Coherent Detection37▲ 35×1 topic
- Digital Signal Processing37▲ 31×1 topic
- Channel Modeling35▲ 12×6 topics
- Meta-Learning35▲ 16×2 topics
- Network Coding34▲ 30×2 topics
Which research topics does Huawei Technologies (China) publish most on?
By volume in 2022-now: Topic Modeling, Natural Language Processing Techniques, Optical Network Technologies and Advanced MIMO Systems Optimization.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 61 works
- 2 Natural Language Processing Techniques Artificial Intelligence 52 works
- 3 Optical Network Technologies Electrical and Electronic Engineering 37 works
- 4 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 32 works
- 5 Recommender Systems and Techniques Information Systems 31 works
- 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 31 works
- 7 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 27 works
- 8 Advanced Photonic Communication Systems Electrical and Electronic Engineering 26 works
- 9 Advanced Graph Neural Networks Artificial Intelligence 26 works
- 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 25 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 Huawei Technologies (China)'s research output changed?
Output in 2022-2025 was 89% 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 Huawei Technologies (China) as a percentage of every work published that year, 0.011% in 2024.
Fractional works of Huawei Technologies (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 16.8% in 2022.
Other research institutions in Shenzhen
- Shenzhen University
- Southern University of Science and Technology
- Chinese University of Hong Kong, Shenzhen
- Shenzhen Polytechnic University
- Peng Cheng Laboratory
- University Town of Shenzhen
- Shenzhen Technology University
- Peking University Shenzhen Hospital
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 Huawei Research publish research on?
In research, Huawei Technologies (China) stands highest in Computer Science (#239 of 4,417 worldwide), Physical Sciences (#690 of 10,670 worldwide) and Engineering (#672 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Software, Hardware and Architecture and Computer Networks and Communications (Software is 16.2× its share of world research).
Discussion
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