Peng Cheng Laboratory
In research, Peng Cheng Laboratory stands highest in Physical Sciences (#328 of 10,670 worldwide), Computer Science (#142 of 4,417 worldwide) and Engineering (#322 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing (Computer Vision and Pattern Recognition is 12.3× its share of world research).
- World rank, 2022-now
- #769 of 22,385 · #969 all time
- Rank in China
- #186 of 2,481
- Research works
- 5.3k ▲ 160% vs 2018-21
- Citations
- 94k 17.8 per fractional work
- Top-10% rate
- 18.5% all institutions 10.0%
- vs its own fields
- 1.55× 1.00× is exactly expected
- Open access
- 24% world 40%
- International
- 24% world 18%
What is Peng Cheng Laboratory 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 | #328 of 10,670 | 19.1% | 2,975 | #469 | |
| Computer ScienceField | #142 of 4,417 | 19.1% | 1,545 | #224 | |
| EngineeringField | #322 of 5,901 | 19.2% | 1,156 | #489 | |
| Computer Vision and Pattern RecognitionSubfield | #58 of 963 | 22.8% | 505 | #79 | |
| Electrical and Electronic EngineeringSubfield | #175 of 2,176 | 17.3% | 596 | #268 | |
| Artificial IntelligenceSubfield | #187 of 1,862 | 16.7% | 492 | #237 | |
| Computer Networks and CommunicationsSubfield | #83 of 728 | 16.1% | 281 | #186 | |
| Control and Systems EngineeringSubfield | #166 of 804 | 24.7% | 91 | #279 | |
| Aerospace EngineeringSubfield | #191 of 785 | 19.9% | 164 | #299 | |
| Physics and AstronomyField | #376 of 1,417 | 17.6% | 133 | #549 |
Each strip is that field's whole ranked pool, with the notch where Peng Cheng Laboratory 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.
- Physical Sciences#469 #328
- Computer Science#224 #142
- Engineering#489 #322
- Computer Vision and Pattern Recognition#79 #58
- Electrical and Electronic Engineering#268 #175
- Artificial Intelligence#237 #187
- Computer Networks and Communications#186 #83
- Control and Systems Engineering#279 #166
- Aerospace Engineering#299 #191
- Physics and Astronomy#549 #376
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 Peng Cheng Laboratory work in?
In 2022-now, 91% of research at Peng Cheng Laboratory is in Physical Sciences, 3% in Life Sciences. Its largest fields are Computer Science (48%), Engineering (35%), Physics and Astronomy (4%). 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 25 fields, with their numbers
- Physical Sciences3,27791.4%
- Computer Science1,71047.7%
- Engineering1,26535.3%
- Physics and Astronomy1484.1%
- Materials Science471.3%
- Environmental Science431.2%
- Earth and Planetary Sciences401.1%
- Mathematics110.3%
- Energy70.2%
- Chemistry50.1%
- Chemical Engineering20.1%
- Life Sciences1183.3%
- Social Sciences1143.2%
- Social Sciences461.3%
- Decision Sciences270.8%
- Psychology220.6%
- Business, Management and Accounting100.3%
- Economics, Econometrics and Finance60.2%
- Arts and Humanities30.1%
- Health Sciences782.2%
- Medicine712.0%
- Health Professions60.2%
- Nursing00.0%
- Dentistry00.0%
What does Peng Cheng Laboratory specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 12.3× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 556.9 works12×
- Computer Networks and CommunicationsSubfield · 305.7 works9.6×
- Signal ProcessingSubfield · 81.1 works7.5×
- Hardware and ArchitectureSubfield · 29.9 works7.4×
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, 6.1×. Every wedge is a field page.
All 25 fields, with their numbers
- Computer Science6.13×1,710 works
- Engineering2.35×1,265 works
- Physics and Astronomy1.85×148 works
- Neuroscience0.90×52 works
- Decision Sciences0.79×27 works
- Earth and Planetary Sciences0.71×40 works
- Materials Science0.37×47 works
- Biochemistry, Genetics and Molecular Biology0.30×57 works
- Mathematics0.25×10 works
- Environmental Science0.24×43 works
- Energy0.20×6 works
- Psychology0.20×22 works
- Chemical Engineering0.18×2 works
- Pharmacology, Toxicology and Pharmaceutics0.13×2 works
- Medicine0.10×71 works
- Social Sciences0.10×46 works
- Chemistry0.09×5 works
- Business, Management and Accounting0.08×10 works
- Economics, Econometrics and Finance0.08×6 works
- Immunology and Microbiology0.07×2 works
- Health Professions0.06×6 works
- Agricultural and Biological Sciences0.03×5 works
- Nursing0.03×0 works
- Dentistry0.02×0 works
- Arts and Humanities0.02×2 works
- Computer Science 6.1×
- Engineering 2.4×
- Physics and Astronomy 1.9×
- Neuroscience 0.9×
- Decision Sciences 0.8×
- Earth and Planetary Sciences 0.7×
- Materials Science 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Mathematics 0.2×
- Environmental Science 0.2×
- Energy 0.2×
- Psychology 0.2×
- Chemical Engineering 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Medicine 0.1×
- Social Sciences 0.1×
- Chemistry 0.1×
- Business, Management and Accounting 0.1×
- Economics, Econometrics and Finance 0.1×
- Immunology and Microbiology 0.1×
- Health Professions 0.1×
- Agricultural and Biological Sciences 0.0×
- Nursing 0.0×
- Dentistry 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at Peng Cheng Laboratory?
Ranked on the quality score, Yaowei Wang, Zhixiang Ren and Wen Rong Wu lead among researchers whose main affiliation is Peng Cheng Laboratory.
- 1
Yaowei Wang
China · #88,202 worldwide 11k citations · 356 works
- 2
Zhixiang Ren
China · #135,849 worldwide 3.8k citations · 124 works
- 3
Wen Rong Wu
China · #214,368 worldwide 5.5k citations · 180 works
- 4
Jinqiang Cui
China · #299,319 worldwide 1.2k citations · 86 works
- 5
Huihui Zhou
China · #321,704 worldwide 1.1k citations · 37 works
- 6
Jiahui Wu
China · #330,084 worldwide 1.4k citations · 48 works
- 7
Guibiao Liao
China · #356,397 worldwide 557 citations · 24 works
- 8
Yang Xiang
China · #400,513 worldwide 2.4k citations · 95 works
- 9
Yijia Zhang
China · #468,163 worldwide 1.3k citations · 67 works
- 10
Shaohua Yu
China · #501,960 worldwide 7.1k citations · 324 works
Which keywords describe research at Peng Cheng Laboratory?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Energy Efficiency, Unsupervised Learning, Optical Fiber and Convolutional Networks.
- Generative Adversarial Networks
- Information Retrieval
- Optical Access Networks
- Mobile Edge Computing
- Whispering Gallery Mode
- Silicon Photonics
- Microcavities
- Channel Estimation
- Nonlinear Effects
- Wireless Sensor Networks
- Sparse Representation
- Security
- Wireless Networks
- Wireless Communications
- Data Mining
- 5G Networks
- Convolutional Networks
- Unsupervised Learning
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Energy Efficiency
- Optical Fiber
- IoT Security
- Representation Learning
- Microwave Photonics
- Anomaly Detection
- Biosensors
- Optical Modulators
- Digital Signal Processing
- Coherent Detection
- Integrated Circuits
- Semi-Supervised Learning
- Raman Lasers
- Nanophotonic Waveguides
- Security and Privacy
- Wireless Communication
- Photonic Signal Processing
- Transfer 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 Learning934▲ 7.5×79 topics
- Neural Networks407▲ 7.3×37 topics
- Machine Learning354▲ 3.0×76 topics
- Convolutional Neural Networks163▲ 6.2×14 topics
- Energy Efficiency156▲ 4.7×25 topics
- Unsupervised Learning115▲ 21×3 topics
- Optical Fiber112▲ 30×3 topics
- Convolutional Networks107▲ 22×3 topics
- IoT Security105▲ 9.5×3 topics
- 5G Networks99▲ 14×5 topics
- Representation Learning99▲ 17×3 topics
- Data Mining97▲ 3.7×14 topics
- Microwave Photonics95▲ 32×2 topics
- Wireless Communications92▲ 15×5 topics
- Anomaly Detection91▲ 8.9×5 topics
- Wireless Networks89▲ 17×9 topics
- Biosensors88▲ 5.0×10 topics
- Security88▲ 3.7×17 topics
- Optical Modulators87▲ 17×3 topics
- Sparse Representation86▲ 13×6 topics
- Digital Signal Processing85▲ 50×2 topics
- Wireless Sensor Networks85▲ 5.3×17 topics
- Coherent Detection84▲ 56×1 topic
- Nonlinear Effects84▲ 56×1 topic
- Integrated Circuits81▲ 16×3 topics
- Channel Estimation81▲ 26×4 topics
- Semi-Supervised Learning79▲ 18×3 topics
- Microcavities76▲ 20×2 topics
- Raman Lasers76▲ 20×2 topics
- Silicon Photonics76▲ 21×2 topics
- Nanophotonic Waveguides75▲ 23×1 topic
- Whispering Gallery Mode75▲ 23×1 topic
- Security and Privacy75▲ 11×3 topics
- Mobile Edge Computing69▲ 12×2 topics
- Wireless Communication64▲ 12×7 topics
- Optical Access Networks63▲ 55×1 topic
- Photonic Signal Processing63▲ 55×1 topic
- Information Retrieval62▲ 8.0×5 topics
- Transfer Learning62▲ 8.9×3 topics
- Generative Adversarial Networks61▲ 19×2 topics
Which research topics does Peng Cheng Laboratory publish most on?
By volume in 2022-now: Optical Network Technologies, Photonic and Optical Devices, Advanced Photonic Communication Systems and Advanced Neural Network Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Optical Network Technologies Electrical and Electronic Engineering 84 works
- 2 Photonic and Optical Devices Electrical and Electronic Engineering 75 works
- 3 Advanced Photonic Communication Systems Electrical and Electronic Engineering 63 works
- 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 53 works
- 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 52 works
- 6 Domain Adaptation and Few-Shot Learning Artificial Intelligence 49 works
- 7 Topic Modeling Artificial Intelligence 49 works
- 8 Network Security and Intrusion Detection Computer Networks and Communications 42 works
- 9 Privacy-Preserving Technologies in Data Artificial Intelligence 42 works
- 10 Advanced Vision and Imaging Computer Vision and Pattern Recognition 42 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 Peng Cheng Laboratory's research output changed?
Output in 2022-2025 was 160% 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 Peng Cheng Laboratory as a percentage of every work published that year, 0.014% in 2024.
Fractional works of Peng Cheng Laboratory 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 25.0% in 2020.
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
- University Town of Shenzhen
- Shenzhen Technology University
- Peking University Shenzhen Hospital
Compare Peng Cheng Laboratory with
- vs
University of Graz
- vs
The University of Texas Medical Branch at Galveston
- vs
Qatar University
- vs
Universidad de Málaga
- vs
Taizhou University
- vs
Wake Forest University
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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