Huawei Technologies (China)
In research, Huawei Technologies (China) stands highest in Computer Science (#98 of 4,667 worldwide), Artificial Intelligence (#124 of 1,884 worldwide) and Engineering (#440 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Software, Hardware and Architecture and Computer Networks and Communications — Software is 16.5× its share of world research.
- World rank, 2022–2025
- #1,405 of 28,054 · #3,031 all time
- Rank in China
- #417 of 3,058
- Research works
- 6.1k ▲ 67% vs 2013–17
- Citations
- 80k 13.1 per fractional work
- Top-10% rate
- 23.3% record average 16.5%
- Open access
- 24% world 28%
What is Huawei Technologies (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 | #98 of 4,667 | 26.6% | 1,099 | #474 | |
| Artificial IntelligenceSubfield | #124 of 1,884 | 28.1% | 381 | #411 | |
| EngineeringField | #440 of 6,636 | 17.9% | 751 | #711 | |
| Physical SciencesDomain | #927 of 12,888 | 23.0% | 2,018 | #2146 | |
| Information SystemsSubfield | #120 of 1,291 | 38.8% | 121 | #494 | |
| Computer Vision and Pattern RecognitionSubfield | #90 of 941 | 27.5% | 216 | #273 | |
| Electrical and Electronic EngineeringSubfield | #277 of 2,318 | 14.7% | 420 | #395 | |
| Computer Networks and CommunicationsSubfield | #97 of 705 | 18.5% | 210 | #313 | |
| Aerospace EngineeringSubfield | #258 of 795 | 41.7% | 82 | #782 | |
| Life SciencesDomain | #2,930 of 7,800 | 32.7% | 107 | #6369 |
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 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#474 #98
- Artificial Intelligence#411 #124
- Engineering#711 #440
- Physical Sciences#2,146 #927
- Information Systems#494 #120
- Computer Vision and Pattern Recognition#273 #90
- Electrical and Electronic Engineering#395 #277
- Computer Networks and Communications#313 #97
- Aerospace Engineering#782 #258
- Life Sciences#6,369 #2,930
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Huawei Technologies (China) specialise in?
Where its research is concentrated relative to its size: Software takes 16.5× the share of its output that it takes of world research.
- SoftwareSubfield · 24.9 works17×
- Hardware and ArchitectureSubfield · 39.1 works15×
- Computer Networks and CommunicationsSubfield · 210.4 works10×
- Signal ProcessingSubfield · 58.2 works8.2×
- Computer Vision and Pattern RecognitionSubfield · 215.9 works7.3×
- Artificial IntelligenceSubfield · 380.9 works6.7×
- Computer ScienceField · 1,098.6 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.
- Computer Science 6.0×
- Engineering 2.1×
- Decision Sciences 1.4×
- Physics and Astronomy 0.8×
- Neuroscience 0.5×
- Materials Science 0.5×
- Environmental Science 0.4×
- Earth and Planetary Sciences 0.4×
- Agricultural and Biological Sciences 0.3×
- Energy 0.3×
- Mathematics 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Chemical Engineering 0.3×
- Business, Management and Accounting 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Immunology and Microbiology 0.2×
- Medicine 0.2×
- Psychology 0.2×
- Chemistry 0.2×
- Nursing 0.2×
- Dentistry 0.1×
- Social Sciences 0.1×
- Economics, Econometrics and Finance 0.1×
- Health Professions 0.1×
- Veterinary 0.1×
- Arts and Humanities 0.1×
Who are the top researchers at Huawei Technologies (China)?
Ranked on the composite score, Lingxi Xie, Tony Xiao Han and Qi Tian lead among researchers whose main affiliation is Huawei Technologies (China).
- 1 Lingxi Xie China · #16,634 worldwide 1.2k citations · 93 works
- 2 Tony Xiao Han China · #20,564 worldwide 1k citations · 41 works
- 3 Qi Tian China · #37,892 worldwide 2k citations · 195 works
- 4 Xin Jiang China · #78,926 worldwide 305 citations · 47 works
- 5 Huifeng Guo China · #79,217 worldwide 312 citations · 38 works
- 6 Jieming Zhu China · #83,705 worldwide 357 citations · 36 works
- 7 Bo Bai China · #114,773 worldwide 370 citations · 70 works
- 8 Xiuqiang He China · #115,843 worldwide 434 citations · 52 works
- 9 Chang Su China · #161,151 worldwide 272 citations · 21 works
- 10 Zhenhua Dong China · #179,719 worldwide 231 citations · 48 works
Which keywords describe research at Huawei Technologies (China)?
By fractional works in 2022–2025, 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 Text Classification.
- Meta-Learning
- Channel Modeling
- Coherent Detection
- Channel Estimation
- MIMO Systems
- Resource Management
- IoT Security
- Beamforming
- Anomaly Detection
- Wireless Communications
- Statistical Machine Translation
- Corpus Linguistics
- Big Data
- Word Representation
- Machine Translation
- Topic Modeling
- Text Classification
- Information Retrieval
- Energy Efficiency
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Wireless Networks
- Distributed Systems
- Representation Learning
- Semantic Similarity
- Heterogeneous Networks
- Semi-Supervised Learning
- Neural Machine Translation
- Unsupervised Learning
- 5G Networks
- Massive MIMO
- Parallel Computing
- Optical Fiber
- Image Classification
- Spectral Efficiency
- Convolutional Networks
- Digital Signal Processing
- Network Coding
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 Learning426▲ 5.3×80 topics
- Neural Networks254▲ 7.0×37 topics
- Machine Learning186▲ 2.4×79 topics
- Energy Efficiency116▲ 5.3×25 topics
- Convolutional Neural Networks87▲ 5.0×14 topics
- Information Retrieval70▲ 14×4 topics
- Wireless Networks68▲ 19×9 topics
- Text Classification64▲ 17×3 topics
- Distributed Systems63▲ 16×6 topics
- Topic Modeling60▲ 17×2 topics
- Representation Learning59▲ 18×3 topics
- Machine Translation59▲ 15×2 topics
- Semantic Similarity58▲ 20×1 topic
- Word Representation58▲ 20×1 topic
- Heterogeneous Networks56▲ 25×2 topics
- Big Data55▲ 2.6×24 topics
- Semi-Supervised Learning52▲ 20×3 topics
- Corpus Linguistics52▲ 10×3 topics
- Neural Machine Translation50▲ 22×1 topic
- Statistical Machine Translation50▲ 22×1 topic
- Unsupervised Learning50▲ 15×3 topics
- Wireless Communications48▲ 12×5 topics
- 5G Networks47▲ 9.9×5 topics
- Anomaly Detection45▲ 6.6×5 topics
- Massive MIMO44▲ 23×3 topics
- Beamforming42▲ 17×4 topics
- Parallel Computing41▲ 15×6 topics
- IoT Security39▲ 5.2×3 topics
- Optical Fiber39▲ 16×3 topics
- Resource Management36▲ 9.0×5 topics
- Image Classification36▲ 8.9×3 topics
- MIMO Systems36▲ 19×3 topics
- Spectral Efficiency36▲ 23×2 topics
- Channel Estimation35▲ 18×4 topics
- Convolutional Networks35▲ 11×3 topics
- Coherent Detection35▲ 34×1 topic
- Digital Signal Processing35▲ 31×1 topic
- Channel Modeling34▲ 12×6 topics
- Network Coding33▲ 29×2 topics
- Meta-Learning32▲ 17×2 topics
Which research topics does Huawei Technologies (China) publish most on?
By volume in 2022–2025: 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 58 works
- 2 Natural Language Processing Techniques Artificial Intelligence 50 works
- 3 Optical Network Technologies Electrical and Electronic Engineering 35 works
- 4 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 31 works
- 5 Recommender Systems and Techniques Information Systems 30 works
- 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 28 works
- 7 Advanced Photonic Communication Systems Electrical and Electronic Engineering 26 works
- 8 Advanced Graph Neural Networks Artificial Intelligence 24 works
- 9 Domain Adaptation and Few-Shot Learning Artificial Intelligence 23 works
- 10 Antenna Design and Analysis Aerospace Engineering 23 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 Huawei Technologies (China)'s research output changed?
Output in 2018–2022 was 67% 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
- Shenzhen Polytechnic University
- Peng Cheng Laboratory
- University Town of Shenzhen
- Shenzhen Technology University
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.