Huawei Technologies (United States)
In research, Huawei Technologies (United States) stands highest in Physical Sciences (#5,335 of 10,670 worldwide) and Computer Science (#2,956 of 4,417 worldwide), 2022-now. Relative to its size it is most specialised in Computer Networks and Communications and Electrical and Electronic Engineering (Computer Networks and Communications is 16.0× its share of world research).
- World rank, 2022-now
- #16,930 of 22,385 · #10,979 all time
- Rank in United States
- #2,457 of 3,332
- Research works
- 889 ▼ 36% vs 2018-21
- Citations
- 16k 17.7 per fractional work
- Top-10% rate
- 8.7% all institutions 10.0%
- vs its own fields
- 0.93× 1.00× is exactly expected
- Open access
- 16% world 40%
- International
- 35% world 18%
What is Huawei Technologies (United States) 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #5,335 of 10,670 | 8.8% | 126 | #3203 | |
| Computer ScienceField | #2,956 of 4,417 | 9.0% | 65 | #1603 |
Each strip is that field's whole ranked pool, with the notch where Huawei Technologies (United States) 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 fields of science does Huawei Technologies (United States) work in?
In 2022-now, 93% of research at Huawei Technologies (United States) is in Physical Sciences, 5% in Social Sciences. Its largest fields are Computer Science (50%), Engineering (37%), Physics and Astronomy (2%). It does 2.3× 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 19 fields, with their numbers
- Physical Sciences14393.0%
- Computer Science7750.0%
- Engineering5737.2%
- Physics and Astronomy42.4%
- Materials Science31.9%
- Earth and Planetary Sciences10.6%
- Environmental Science10.3%
- Mathematics00.2%
- Energy00.2%
- Chemical Engineering00.0%
- Social Sciences74.6%
- Life Sciences21.4%
- Health Sciences21.0%
- Medicine21.0%
What does Huawei Technologies (United States) specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 16.0× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 22.0 works16×
- Electrical and Electronic EngineeringSubfield · 36.4 works6.6×
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, 6.4×. Every wedge is a field page.
All 19 fields, with their numbers
- Computer Science6.43×77 works
- Engineering2.48×57 works
- Physics and Astronomy1.10×4 works
- Decision Sciences0.98×2 works
- Materials Science0.55×3 works
- Business, Management and Accounting0.47×2 works
- Earth and Planetary Sciences0.40×1 works
- Energy0.25×0 works
- Economics, Econometrics and Finance0.23×1 works
- Neuroscience0.22×0 works
- Mathematics0.20×0 works
- Biochemistry, Genetics and Molecular Biology0.16×1 works
- Social Sciences0.11×2 works
- Psychology0.09×0 works
- Environmental Science0.07×0 works
- Chemical Engineering0.05×0 works
- Medicine0.05×2 works
- Agricultural and Biological Sciences0.02×0 works
- Immunology and Microbiology0.02×0 works
- Computer Science 6.4×
- Engineering 2.5×
- Physics and Astronomy 1.1×
- Decision Sciences 1.0×
- Materials Science 0.6×
- Business, Management and Accounting 0.5×
- Earth and Planetary Sciences 0.4×
- Energy 0.2×
- Economics, Econometrics and Finance 0.2×
- Neuroscience 0.2×
- Mathematics 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Social Sciences 0.1×
- Psychology 0.1×
- Environmental Science 0.1×
- Chemical Engineering 0.1×
- Medicine 0.1×
- Agricultural and Biological Sciences 0.0×
- Immunology and Microbiology 0.0×
Who are the top researchers at Huawei Technologies (United States)?
Ranked on the quality score, Min Luo, Anthony C. K. Soong and Yuanqiu Luo lead among researchers whose main affiliation is Huawei Technologies (United States).
- 1
Min Luo
United States · #781,482 worldwide 1.4k citations · 30 works
- 2
Anthony C. K. Soong
United States · #832,302 worldwide 10k citations · 80 works
- 3
Yuanqiu Luo
United States · #1,417,412 worldwide 2.2k citations · 104 works
- 4
Cédric Westphal
United States · #1,468,461 worldwide 2.2k citations · 171 works
- 5
Mazin Al‐Shalash
United States · #1,468,876 worldwide 1.9k citations · 31 works
- 6
Xinli Gu
United States · #1,661,582 worldwide 1.1k citations · 98 works
- 7
Hesham Elbakoury
United States · #1,767,299 worldwide 1.1k citations · 25 works
- 8
Tony Saboorian
United States · #1,826,496 worldwide 220 citations · 30 works
- 9
Xiang Liu
United States · #1,903,952 worldwide 6.1k citations · 263 works
- 10
Mingquan Wu
United States · #1,937,846 worldwide 524 citations · 34 works
Which keywords describe research at Huawei Technologies (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Energy Efficiency, Neural Networks, Wireless Networks, 5G Networks, Microwave Photonics, Convolutional Neural Networks and Optical Access Networks.
- Beamforming
- Unsupervised Learning
- Information-Centric Networking
- Smart Cities
- Parallel Computing
- Wireless Communication
- Neural Machine Translation
- IoT Security
- Machine Translation
- Information Retrieval
- Software-Defined Networking
- Network Virtualization
- Distributed Systems
- Coherent Detection
- Optical Networks
- Photonic Signal Processing
- Microwave Photonics
- 5G Networks
- Machine Learning
- Neural Networks
- Deep Learning
- Energy Efficiency
- Wireless Networks
- Convolutional Neural Networks
- Optical Access Networks
- Elastic Optical Networks
- Optical Fiber
- Digital Signal Processing
- Internet of Things
- Security
- Cloud Computing
- Content Delivery
- Word Representation
- Mobile Networks
- Statistical Machine Translation
- Massive MIMO
- Resource Allocation
- Caching
- Network Coding
- Integrated Circuits
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 Learning27▲ 5.0×53 topics
- Neural Networks14▲ 5.7×19 topics
- Energy Efficiency13▲ 9.3×10 topics
- Machine Learning9▲ 1.78×29 topics
- Wireless Networks9▲ 38×6 topics
- 5G Networks8▲ 27×4 topics
- Convolutional Neural Networks7▲ 6.4×10 topics
- Microwave Photonics7▲ 54×2 topics
- Optical Access Networks6▲ 129×1 topic
- Photonic Signal Processing6▲ 129×1 topic
- Elastic Optical Networks6▲ 244×1 topic
- Optical Networks6▲ 244×1 topic
- Optical Fiber6▲ 34×2 topics
- Coherent Detection5▲ 84×1 topic
- Digital Signal Processing5▲ 74×1 topic
- Distributed Systems4▲ 17×6 topics
- Internet of Things4▲ 3.4×9 topics
- Network Virtualization4▲ 78×1 topic
- Security4▲ 4.4×13 topics
- Software-Defined Networking4▲ 78×1 topic
- Cloud Computing4▲ 9.7×7 topics
- Information Retrieval4▲ 12×2 topics
- Content Delivery4▲ 70×2 topics
- Machine Translation4▲ 15×1 topic
- Word Representation4▲ 20×1 topic
- IoT Security4▲ 7.7×3 topics
- Mobile Networks4▲ 63×2 topics
- Neural Machine Translation4▲ 25×1 topic
- Statistical Machine Translation4▲ 25×1 topic
- Wireless Communication4▲ 16×6 topics
- Massive MIMO3▲ 28×3 topics
- Parallel Computing3▲ 19×3 topics
- Resource Allocation3▲ 12×6 topics
- Smart Cities3▲ 8.0×5 topics
- Caching3▲ 73×1 topic
- Information-Centric Networking3▲ 73×1 topic
- Network Coding3▲ 45×2 topics
- Unsupervised Learning3▲ 13×3 topics
- Integrated Circuits3▲ 13×3 topics
- Beamforming3▲ 18×4 topics
Which research topics does Huawei Technologies (United States) publish most on?
By volume in 2022-now: Advanced Photonic Communication Systems, Advanced Optical Network Technologies, Optical Network Technologies and Software-Defined Networks and 5G.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Photonic Communication Systems Electrical and Electronic Engineering 6 works
- 2 Advanced Optical Network Technologies Electrical and Electronic Engineering 6 works
- 3 Optical Network Technologies Electrical and Electronic Engineering 5 works
- 4 Software-Defined Networks and 5G Computer Networks and Communications 4 works
- 5 Topic Modeling Artificial Intelligence 4 works
- 6 Natural Language Processing Techniques Artificial Intelligence 4 works
- 7 Caching and Content Delivery Computer Networks and Communications 3 works
- 8 IoT and Edge/Fog Computing Computer Networks and Communications 2 works
- 9 Photonic and Optical Devices Electrical and Electronic Engineering 2 works
- 10 Cloud Computing and Resource Management Information Systems 2 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 (United States)'s research output changed?
Output in 2022-2025 was 36% lower 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 (United States) as a percentage of every work published that year, 0.00044% in 2024.
Fractional works of Huawei Technologies (United States) 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 19.9% in 2012.
Other research institutions in Plano
- Plano Cancer Institute
- Ericsson (United States)
- Texas Back Institute
- Heart Hospital Baylor Plano
- Collin College
- Plano Orthopedic Sports Medicine & Spine Center
- Estech Systems (United States)
- Alliance Data (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.
Discussion
Ask a question or share a note about Huawei Technologies (United States). Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.
