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Cambricon (China)

Research works
15
▲ 72% vs 2018-21
Citations
305
20.1 per fractional work
Top-10% rate
8.5%
all institutions 10.0%
Open access
32%
world 40%
International
7%
world 18%

Not ranked overall: Cambricon (China) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

Which fields of science does Cambricon (China) work in?

In all years, 96% of research at Cambricon (China) is in Physical Sciences, 2% in Life Sciences. Its largest fields are Computer Science (70%), Engineering (19%), Materials Science (5%). It does 1.9× the world's share of Physical Sciences.

Physical Sciences: 15 fractional works · 96.4% of its workComputer Science: 11 fractional works · 69.6% of its workComputer Vision and Pattern Recognition: 3 fractional works · 20.5% of its workHardware and Architecture: 3 fractional works · 19.2% of its workArtificial Intelligence: 3 fractional works · 17.4% of its workComputer Networks and Communications: 1 fractional works · 5.5% of its workSignal Processing: 0 fractional works · 2.2% of its workInformation Systems: 0 fractional works · 1.9% of its workComputational Theory and Mathematics: 0 fractional works · 1.1% of its workComputer Graphics and Computer-Aided Design: 0 fractional works · 1.1% of its workSoftware: 0 fractional works · 0.7% of its workEngineering: 3 fractional works · 19.0% of its workElectrical and Electronic Engineering: 3 fractional works · 17.1% of its workComputational Mechanics: 0 fractional works · 0.8% of its workAerospace Engineering: 0 fractional works · 0.5% of its workMechanical Engineering: 0 fractional works · 0.5% of its workMaterials Science: 1 fractional works · 4.8% of its workMaterials Chemistry: 0 fractional works · 2.6% of its workElectronic, Optical and Magnetic Materials: 0 fractional works · 2.2% of its workMathematics: 0 fractional works · 1.5% of its workComputational Mathematics: 0 fractional works · 1.5% of its workPhysics and Astronomy: 0 fractional works · 1.4% of its workAcoustics and Ultrasonics: 0 fractional works · 0.7% of its workAtomic and Molecular Physics, and Optics: 0 fractional works · 0.7% of its workLife Sciences: 0 fractional works · 2.2% of its workNeuroscience: 0 fractional works · 2.2% of its workCellular and Molecular Neuroscience: 0 fractional works · 1.4% of its workNeurology: 0 fractional works · 0.7% of its workSocial Sciences: 0 fractional works · 1.4% of its workDecision Sciences: 0 fractional works · 0.7% of its workManagement Science and Operations Research: 0 fractional works · 0.7% of its workEconomics, Econometrics and Finance: 0 fractional works · 0.7% of its workEconomics and Econometrics: 0 fractional works · 0.7% of its workALL ITS WORKCambricon (China)15fractional works, all years
Life Sciences2%Physical Sciences96%Social Sciences1%

Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in all years. 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 3 domains and 8 fields, with their numbers
    1. Computer Science1169.6%
    2. Engineering319.0%
    3. Materials Science14.8%
    4. Mathematics01.5%
    5. Physics and Astronomy01.4%
    1. Neuroscience02.2%
    1. Decision Sciences00.7%
    2. Economics, Econometrics and Finance00.7%
All of science, and how each field's share has moved since 1950: the Science domain explorer

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.

Neuroscience: 1.38× its world share, 0 worksNeuroscienceComputer Science: 9.49× its world share, 7 worksComputer ScienceEngineering: 1.14× its world share, 2 worksEngineeringMaterials Science: 0.19× its world share, 0 worksMaterials ScienceMathematics: 1.43× its world share, 0 worksMathematicsPhysics and Astronomy: 1.01× its world share, 0 worksPhysics and AstronomyDecision Sciences: 1.16× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.52× its world share, 0 worksEconomics, Econometr…1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 9.5×. Every wedge is a field page.

All 8 fields, with their numbers
  1. Computer Science9.49×7 works
  2. Mathematics1.43×0 works
  3. Neuroscience1.38×0 works
  4. Decision Sciences1.16×0 works
  5. Engineering1.14×2 works
  6. Physics and Astronomy1.01×0 works
  7. Economics, Econometrics and Finance0.52×0 works
  8. Materials Science0.19×0 works

Who are the top researchers at Cambricon (China)?

Ranked on the quality score, Tianshi Chen lead among researchers whose main affiliation is Cambricon (China).

  1. 1 Tianshi Chen #2,778,959 worldwide 278 citations · 19 works
All ranked researchers at Cambricon (China)

What are the most cited papers from Cambricon (China)?

The most cited paper from Cambricon (China) is "Cambricon-X: An accelerator for sparse neural networks" (Shijin Zhang, Zidong Du, Lei Zhang et al., 2016), with 606 citations. Next come "Domain-Specific Suppression for Adaptive Object Detection" (87) and "Fixed-Point Back-Propagation Training" (44).

Most cited papers
#PaperReleasedCitations
1 Cambricon-X: An accelerator for sparse neural networks Shijin Zhang, Zidong Du, Lei Zhang et al. Conference paper Oct 2016 606
2 Domain-Specific Suppression for Adaptive Object Detection Yu Wang, Rui Zhang, Shuo Zhang et al. Conference paper Jun 2021 87
3 Fixed-Point Back-Propagation Training Xishan Zhang, Shaoli Liu, Rui Zhang et al. Conference paper Jun 2020 44
4 Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks Xinkai Song, Tian Zhi, Zhe Yuan Fan et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 25 Feb 2021 30
5 Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM Zhongkai Yu, Shengwen Liang, Tianyun Ma et al. Conference paper 2 Nov 2024 29
All 62 most cited papers, with filters and sorting

Which research topics does Cambricon (China) publish most on?

By volume in 2022-now: Parallel Computing and Optimization Techniques, Ferroelectric and Negative Capacitance Devices, Embedded Systems Design Techniques and Advanced Neural Network Applications.

  1. 1 Parallel Computing and Optimization Techniques Hardware and Architecture 1 works
  2. 2 Ferroelectric and Negative Capacitance Devices Electrical and Electronic Engineering 0 works
  3. 3 Embedded Systems Design Techniques Hardware and Architecture 0 works
  4. 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 0 works
  5. 5 Neural Networks and Applications Artificial Intelligence 0 works
  6. 6 Advanced Memory and Neural Computing Electrical and Electronic Engineering 0 works
  7. 7 Interconnection Networks and Systems Computer Networks and Communications 0 works
  8. 8 Image Enhancement Techniques Computer Vision and Pattern Recognition 0 works
  9. 9 Photonic and Optical Devices Electrical and Electronic Engineering 0 works
  10. 10 Advanced Graph Neural Networks Artificial Intelligence 0 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 available31.7%not open68.3%

World: 40% of research is openly available.

with international co-authors7.1%domestic only92.9%

World: 18% is written across borders.

How has Cambricon (China)'s research output changed?

Output in 2022-2025 was 72% higher than in 2018-2021.

still counting20202025
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 Beijing

All research institutions in Beijing

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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