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.
| Field | World rank | Where that sits | Top-10% rate | Works | All 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.
- Artificial IntelligenceSubfield · 20.0 works6.2×
- Computer ScienceField · 57.9 works5.6×
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, 5.6×. Every wedge is a field page.
- Computer Science 5.6×
- Engineering 2.1×
- Physics and Astronomy 1.6×
- Decision Sciences 1.5×
- Neuroscience 1.0×
- Earth and Planetary Sciences 0.6×
- Environmental Science 0.5×
- Social Sciences 0.4×
- Psychology 0.4×
- Health Professions 0.3×
- Agricultural and Biological Sciences 0.3×
- Materials Science 0.3×
- Mathematics 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Arts and Humanities 0.2×
- Chemistry 0.2×
- Business, Management and Accounting 0.2×
- Medicine 0.2×
- Economics, Econometrics and Finance 0.1×
- Immunology and Microbiology 0.1×
- Nursing 0.1×
- Energy 0.1×
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 Wei Fan China · #142,259 worldwide 265 citations · 47 works
- 2 Yao Meng China · #502,818 worldwide 29 citations · 19 works
- 3 Jun Sun China · #581,728 worldwide 216 citations · 80 works
- 4 Satoshi Naoi China · #727,523 worldwide 99 citations · 56 works
- 5 Hao Yu China · #936,539 worldwide 72 citations · 33 works
- 6 Ziqiang Shi China · #1,254,037 worldwide 39 citations · 31 works
- 7 Rujie Liu China · #1,282,995 worldwide 42 citations · 35 works
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.
- Deep Neural Networks
- Microwave Photonics
- Parallel Computing
- CMOS
- Semi-Supervised Learning
- Microcavities
- Silicon Photonics
- Cloud Computing
- Optical Modulators
- Meta-Learning
- Digital Signal Processing
- Pose Estimation
- Optical Fiber
- Medical Imaging
- Representation Learning
- Feature Extraction
- Artificial Intelligence
- Big Data
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Security
- Integrated Circuits
- Classification
- Unsupervised Learning
- Convolutional Networks
- Transfer Learning
- Generative Adversarial Networks
- Coherent Detection
- Sparse Representation
- Surveillance
- Privacy
- Semiconductor Lasers
- Face Recognition
- Nanophotonic Waveguides
- Real-time Tracking
- Genetic Algorithm
- Image Classification
- Action Recognition
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
- Deep Learning31▲ 6.8×45 topics
- Neural Networks14▲ 6.6×20 topics
- Machine Learning13▲ 3.1×32 topics
- Convolutional Neural Networks10▲ 9.7×11 topics
- Security6▲ 7.2×11 topics
- Big Data5▲ 4.4×9 topics
- Integrated Circuits5▲ 22×2 topics
- Artificial Intelligence4▲ 2.4×8 topics
- Classification4▲ 7.0×7 topics
- Feature Extraction4▲ 6.8×6 topics
- Unsupervised Learning4▲ 22×3 topics
- Representation Learning4▲ 22×3 topics
- Convolutional Networks4▲ 21×3 topics
- Medical Imaging4▲ 5.6×4 topics
- Transfer Learning4▲ 15×3 topics
- Optical Fiber4▲ 26×2 topics
- Generative Adversarial Networks3▲ 32×2 topics
- Pose Estimation3▲ 23×2 topics
- Coherent Detection3▲ 56×1 topic
- Digital Signal Processing3▲ 50×1 topic
- Sparse Representation3▲ 12×5 topics
- Meta-Learning3▲ 28×2 topics
- Surveillance3▲ 8.5×3 topics
- Optical Modulators3▲ 15×2 topics
- Privacy3▲ 7.5×4 topics
- Cloud Computing3▲ 7.7×4 topics
- Semiconductor Lasers3▲ 31×2 topics
- Silicon Photonics3▲ 19×2 topics
- Face Recognition3▲ 17×2 topics
- Microcavities3▲ 18×1 topic
- Nanophotonic Waveguides3▲ 20×1 topic
- Semi-Supervised Learning3▲ 18×3 topics
- Real-time Tracking2▲ 18×2 topics
- CMOS2▲ 36×2 topics
- Genetic Algorithm2▲ 13×4 topics
- Parallel Computing2▲ 15×2 topics
- Image Classification2▲ 9.6×3 topics
- Microwave Photonics2▲ 19×2 topics
- Action Recognition2▲ 32×1 topic
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Optical Network Technologies Electrical and Electronic Engineering 3 works
- 2 Photonic and Optical Devices Electrical and Electronic Engineering 3 works
- 3 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
- 4 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
- 5 Radio Frequency Integrated Circuit Design Electrical and Electronic Engineering 2 works
- 6 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 2 works
- 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 8 Semiconductor Lasers and Optical Devices Electrical and Electronic Engineering 2 works
- 9 Advanced Photonic Communication Systems Electrical and Electronic Engineering 2 works
- 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.
World: 28% of research is openly available.
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.
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
- Hong Kong Polytechnic University
- Chinese University of Hong Kong
- City University of Hong Kong
- Hong Kong University of Science and Technology
- Hong Kong Baptist University
- Queen Mary Hospital
- Hong Kong Metropolitan University
- Queen Elizabeth Hospital
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.