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Company · Hong Kong · China

Fujitsu (China)

In research, Fujitsu (China) stands highest in Physical Sciences (#9,512 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 6.2× its share of world research.

World rank, 2022–2025
#18,729
of 28,054 · #14,927 all time
Rank in China
#2,771
of 3,058
Research works
878
▼ 25% vs 2013–17
Citations
7.2k
8.2 per fractional work
Top-10% rate
5.0%
record average 16.5%
Open access
33%
world 28%

What is Fujitsu (China) 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
Physical SciencesDomain #9,512 of 12,888 5.3%110 #8439

Each strip is that field’s whole ranked pool, with the notch where Fujitsu (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).

What does Fujitsu (China) specialise in?

Where its research is concentrated relative to its size: Artificial Intelligence takes 6.2× the share of its output that it takes of world research.

  1. Artificial IntelligenceSubfield · 20.0 works6.2×
  2. Computer ScienceField · 57.9 works5.6×
← less than its size predictsmore →

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: 0.27× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.24× its world share, 2 worksBiochemistry, Geneti…Immunology and Microbiology: 0.12× its world share, 0 worksImmunology and Micro…Neuroscience: 1.03× its world share, 2 worksNeuroscienceChemistry: 0.21× its world share, 0 worksChemistryComputer Science: 5.57× its world share, 58 worksComputer ScienceEarth and Planetary Sciences: 0.64× its world share, 1 worksEarth and Planetary …Energy: 0.05× its world share, 0 worksEnergyEngineering: 2.06× its world share, 41 worksEngineeringEnvironmental Science: 0.46× its world share, 3 worksEnvironmental ScienceMaterials Science: 0.26× its world share, 1 worksMaterials ScienceMathematics: 0.25× its world share, 0 worksMathematicsPhysics and Astronomy: 1.62× its world share, 5 worksPhysics and AstronomyHealth Professions: 0.35× its world share, 1 worksHealth ProfessionsMedicine: 0.16× its world share, 4 worksMedicineNursing: 0.10× its world share, 0 worksNursingArts and Humanities: 0.24× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.21× its world share, 1 worksBusiness, Management…Decision Sciences: 1.46× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.15× its world share, 0 worksEconomics, Econometr…Psychology: 0.37× its world share, 2 worksPsychologySocial Sciences: 0.38× its world share, 6 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 5.6×. Every wedge is a field page.

Who are the top researchers at Fujitsu (China)?

Ranked on the composite score, Wei Fan, Yao Meng and Jun Sun lead among researchers whose main affiliation is Fujitsu (China).

  1. 1 Wei Fan China · #142,259 worldwide 265 citations · 47 works
  2. 2 Yao Meng China · #502,818 worldwide 29 citations · 19 works
  3. 3 Jun Sun China · #581,728 worldwide 216 citations · 80 works
  4. 4 Satoshi Naoi China · #727,523 worldwide 99 citations · 56 works
  5. 5 Hao Yu China · #936,539 worldwide 72 citations · 33 works
  6. 6 Ziqiang Shi China · #1,254,037 worldwide 39 citations · 31 works
  7. 7 Rujie Liu China · #1,282,995 worldwide 42 citations · 35 works
All ranked researchers at Fujitsu (China)

Which keywords describe research at Fujitsu (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Machine Learning, Security, Integrated Circuits, Unsupervised Learning and Representation Learning.

▲ 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 Learning31▲ 6.8×45 topics
  2. Neural Networks14▲ 6.6×20 topics
  3. Machine Learning13▲ 3.1×32 topics
  4. Convolutional Neural Networks10▲ 9.7×11 topics
  5. Security6▲ 7.2×11 topics
  6. Big Data5▲ 4.4×9 topics
  7. Integrated Circuits5▲ 22×2 topics
  8. Artificial Intelligence4▲ 2.4×8 topics
  9. Classification4▲ 7.0×7 topics
  10. Feature Extraction4▲ 6.8×6 topics
  11. Unsupervised Learning4▲ 22×3 topics
  12. Representation Learning4▲ 22×3 topics
  13. Convolutional Networks4▲ 21×3 topics
  14. Medical Imaging4▲ 5.6×4 topics
  15. Transfer Learning4▲ 15×3 topics
  16. Optical Fiber4▲ 26×2 topics
  17. Generative Adversarial Networks3▲ 32×2 topics
  18. Pose Estimation3▲ 23×2 topics
  19. Coherent Detection3▲ 56×1 topic
  20. Digital Signal Processing3▲ 50×1 topic
  21. Sparse Representation3▲ 12×5 topics
  22. Meta-Learning3▲ 28×2 topics
  23. Surveillance3▲ 8.5×3 topics
  24. Optical Modulators3▲ 15×2 topics
  25. Privacy3▲ 7.5×4 topics
  26. Cloud Computing3▲ 7.7×4 topics
  27. Semiconductor Lasers3▲ 31×2 topics
  28. Silicon Photonics3▲ 19×2 topics
  29. Face Recognition3▲ 17×2 topics
  30. Microcavities3▲ 18×1 topic
  31. Nanophotonic Waveguides3▲ 20×1 topic
  32. Semi-Supervised Learning3▲ 18×3 topics
  33. Real-time Tracking2▲ 18×2 topics
  34. CMOS2▲ 36×2 topics
  35. Genetic Algorithm2▲ 13×4 topics
  36. Parallel Computing2▲ 15×2 topics
  37. Image Classification2▲ 9.6×3 topics
  38. Microwave Photonics2▲ 19×2 topics
  39. Action Recognition2▲ 32×1 topic
  40. Deep Neural Networks2▲ 14×3 topics

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

By volume in 2022–2025: Optical Network Technologies, Photonic and Optical Devices, Human Pose and Action Recognition and Video Surveillance and Tracking Methods.

  1. 1 Optical Network Technologies Electrical and Electronic Engineering 3 works
  2. 2 Photonic and Optical Devices Electrical and Electronic Engineering 3 works
  3. 3 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
  4. 4 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
  5. 5 Radio Frequency Integrated Circuit Design Electrical and Electronic Engineering 2 works
  6. 6 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 2 works
  7. 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
  8. 8 Semiconductor Lasers and Optical Devices Electrical and Electronic Engineering 2 works
  9. 9 Advanced Photonic Communication Systems Electrical and Electronic Engineering 2 works
  10. 10 Advanced Power Amplifier Design Electrical and Electronic Engineering 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.

openly available33.1%not open66.9%

World: 28% of research is openly available.

with international co-authors53.3%domestic only46.7%

World: 19% is written across borders.

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

Output in 2018–2022 was 25% lower 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 Hong Kong

All research institutions in Hong Kong

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.