Science Explorer Interactive view Map
Research facility · Shenzhen · China

Peng Cheng Laboratory

In research, Peng Cheng Laboratory stands highest in Computer Science (#38 of 4,667 worldwide), Engineering (#170 of 6,636 worldwide) and Physical Sciences (#357 of 12,888 worldwide), 2022–2025. 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.

pcl.ac.cnROR OpenAlex
World rank, 2022–2025
#607
of 28,054 · #2,062 all time
Rank in China
#196
of 3,058
Research works
5.3k
▲ 8197% vs 2013–17
Citations
94k
17.8 per fractional work
Top-10% rate
28.1%
record average 16.5%
Open access
24%
world 28%

What is Peng Cheng Laboratory known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Computer ScienceField #38 of 4,667 30.3%1,545 #258
EngineeringField #170 of 6,636 24.9%1,156 #837
Physical SciencesDomain #357 of 12,888 27.9%2,975 #1475
Computer Vision and Pattern RecognitionSubfield #29 of 941 33.2%505 #111
Computer Networks and CommunicationsSubfield #26 of 705 25.8%281 #268
Artificial IntelligenceSubfield #84 of 1,884 29.5%492 #298
Electrical and Electronic EngineeringSubfield #164 of 2,318 17.7%596 #698
Aerospace EngineeringSubfield #86 of 795 43.4%164 #749
Physics and AstronomyField #276 of 1,646 24.5%133 #1446
Information SystemsSubfield #262 of 1,291 36.7%88 #645

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 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.

  1. Computer Science#258 #38
  2. Engineering#837 #170
  3. Physical Sciences#1,475 #357
  4. Computer Vision and Pattern Recognition#111 #29
  5. Computer Networks and Communications#268 #26
  6. Artificial Intelligence#298 #84
  7. Electrical and Electronic Engineering#698 #164
  8. Aerospace Engineering#749 #86
  9. Physics and Astronomy#1,446 #276
  10. Information Systems#645 #262
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

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.

  1. Computer Vision and Pattern RecognitionSubfield · 505.0 works12×
  2. Computer Networks and CommunicationsSubfield · 280.5 works9.7×
  3. Signal ProcessingSubfield · 72.6 works7.3×
  4. Hardware and ArchitectureSubfield · 26.5 works7.2×
← less than its size predicts1×more →

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.

Agricultural and Biological Sciences: 0.03× its world share, 4 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.31× its world share, 54 worksBiochemistry, Geneti…Immunology and Microbiology: 0.07× its world share, 2 worksImmunology and Micro…Neuroscience: 0.95× its world share, 50 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.13× its world share, 2 worksPharmacology, Toxico…Chemical Engineering: 0.20× its world share, 2 worksChemical EngineeringChemistry: 0.09× its world share, 5 worksChemistryComputer Science: 6.10× its world share, 1,545 worksComputer ScienceEarth and Planetary Sciences: 0.73× its world share, 37 worksEarth and Planetary …Energy: 0.20× its world share, 6 worksEnergyEngineering: 2.36× its world share, 1,156 worksEngineeringEnvironmental Science: 0.24× its world share, 40 worksEnvironmental ScienceMaterials Science: 0.37× its world share, 42 worksMaterials ScienceMathematics: 0.24× its world share, 9 worksMathematicsPhysics and Astronomy: 1.84× its world share, 133 worksPhysics and AstronomyDentistry: 0.02× its world share, 0 worksDentistryHealth Professions: 0.06× its world share, 5 worksHealth ProfessionsMedicine: 0.10× its world share, 64 worksMedicineNursing: 0.02× its world share, 0 worksNursingArts and Humanities: 0.02× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 0.08× its world share, 9 worksBusiness, Management…Decision Sciences: 0.77× its world share, 24 worksDecision SciencesEconomics, Econometrics and Finance: 0.08× its world share, 5 worksEconomics, Econometr…Psychology: 0.18× its world share, 18 worksPsychologySocial Sciences: 0.11× its world share, 43 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.1×. Every wedge is a field page.

Who are the top researchers at Peng Cheng Laboratory?

Ranked on the composite score, Jinlong Wei, Zhe Wu and Yaowei Wang lead among researchers whose main affiliation is Peng Cheng Laboratory.

  1. 1 Jinlong Wei · #97,994 worldwide 196 citations · 69 works
  2. 2 Zhe Wu · #113,869 worldwide 278 citations · 30 works
  3. 3 Yaowei Wang · #137,664 worldwide 679 citations · 95 works
  4. 4 Xiangyuan Lan · #179,269 worldwide 232 citations · 28 works
  5. 5 Wen Wu · #196,996 worldwide 271 citations · 50 works
  6. 6 Yi Wang · #386,161 worldwide 333 citations · 96 works
  7. 7 Longhao Zou · #458,226 worldwide 48 citations · 18 works
  8. 8 Junpeng Liang · #512,464 worldwide 40 citations · 17 works
  9. 9 Haibo Lu · #523,573 worldwide 59 citations · 30 works
  10. 10 Xuan Li · #619,099 worldwide 100 citations · 18 works
All ranked researchers at Peng Cheng Laboratory

Which keywords describe research at Peng Cheng Laboratory?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Energy Efficiency, Optical Fiber, Unsupervised Learning and Convolutional Networks.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Deep Learning839▲ 7.5×79 topics
  2. Neural Networks368▲ 7.3×37 topics
  3. Machine Learning321▲ 3.0×76 topics
  4. Convolutional Neural Networks148▲ 6.2×14 topics
  5. Energy Efficiency141▲ 4.6×24 topics
  6. Optical Fiber101▲ 29×3 topics
  7. Unsupervised Learning101▲ 22×3 topics
  8. Convolutional Networks100▲ 22×3 topics
  9. IoT Security99▲ 9.5×3 topics
  10. Data Mining91▲ 3.7×14 topics
  11. 5G Networks90▲ 14×5 topics
  12. Microwave Photonics87▲ 30×2 topics
  13. Anomaly Detection87▲ 9.1×5 topics
  14. Representation Learning84▲ 19×3 topics
  15. Biosensors84▲ 5.0×10 topics
  16. Wireless Communications83▲ 15×5 topics
  17. Sparse Representation82▲ 13×6 topics
  18. Wireless Networks81▲ 16×9 topics
  19. Optical Modulators81▲ 17×3 topics
  20. Wireless Sensor Networks80▲ 5.4×17 topics
  21. Integrated Circuits76▲ 15×3 topics
  22. Digital Signal Processing76▲ 48×2 topics
  23. Coherent Detection76▲ 54×1 topic
  24. Nonlinear Effects76▲ 54×1 topic
  25. Microcavities72▲ 20×2 topics
  26. Silicon Photonics72▲ 20×2 topics
  27. Raman Lasers72▲ 19×2 topics
  28. Channel Estimation72▲ 26×4 topics
  29. Nanophotonic Waveguides71▲ 22×1 topic
  30. Whispering Gallery Mode71▲ 22×1 topic
  31. Semi-Supervised Learning69▲ 19×3 topics
  32. Security and Privacy69▲ 11×3 topics
  33. Mobile Edge Computing63▲ 12×2 topics
  34. Wireless Communication60▲ 12×7 topics
  35. Optical Access Networks58▲ 53×1 topic
  36. Photonic Signal Processing58▲ 53×1 topic
  37. Information Retrieval57▲ 8.0×5 topics
  38. Transfer Learning56▲ 8.9×3 topics
  39. Channel Modeling54▲ 13×6 topics
  40. Text Classification54▲ 10×3 topics

Which research topics does Peng Cheng Laboratory publish most on?

By volume in 2022–2025: Optical Network Technologies, Photonic and Optical Devices, Advanced Photonic Communication Systems and Advanced Neural Network Applications.

Optical Network Technolo…76Optical Network Technologies: 76 fractional worksPhotonic and Optical Dev…71Photonic and Optical Devices: 71 fractional worksAdvanced Photonic Commun…58Advanced Photonic Communication Systems: 58 fractional worksAdvanced Neural Network …47Advanced Neural Network Applications: 47 fractional worksMultimodal Machine Learning Applications: 44 fractional worksTopic Modeling44Topic Modeling: 44 fractional worksDomain Adaptation and Fe…44Domain Adaptation and Few-Shot Learning: 44 fractional worksNetwork Security and Intrusion Detection: 41 fractional worksAdvanced Image and Video Retrieval Techniques: 39 fractional worksAdvanced Vision and Imag…38Advanced Vision and Imaging: 38 fractional works
Electrical and Electronic EngineeringComputer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Optical Network TechnologiesElectrical and Electronic Engineering 76 works
  2. 2 Photonic and Optical DevicesElectrical and Electronic Engineering 71 works
  3. 3 Advanced Photonic Communication SystemsElectrical and Electronic Engineering 58 works
  4. 4 Advanced Neural Network ApplicationsComputer Vision and Pattern Recognition 47 works
  5. 5 Multimodal Machine Learning ApplicationsComputer Vision and Pattern Recognition 44 works
  6. 6 Topic ModelingArtificial Intelligence 44 works
  7. 7 Domain Adaptation and Few-Shot LearningArtificial Intelligence 44 works
  8. 8 Network Security and Intrusion DetectionComputer Networks and Communications 41 works
  9. 9 Advanced Image and Video Retrieval TechniquesComputer Vision and Pattern Recognition 39 works
  10. 10 Advanced Vision and ImagingComputer Vision and Pattern Recognition 38 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.

openly available24.3%not open75.7%

World: 28% of research is openly available.

with international co-authors23.5%domestic only76.5%

World: 19% is written across borders.

How has Peng Cheng Laboratory's research output changed?

Output in 2018–2022 was 8197% higher than in 2013–2017.

1990200020102020
grewheldshrank

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

All research institutions in Shenzhen

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.