National Center for High-Performance Computing
In research, National Center for High-Performance Computing stands highest in Physical Sciences (#8,440 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Science — Computer Science is 5.1× its share of world research.
- World rank, 2022–2025
- #14,992 of 28,054 · #18,547 all time
- Rank in Taiwan
- #139 of 221
- Research works
- 563 ▼ 22% vs 2013–17
- Citations
- 5.8k 10.3 per fractional work
- Top-10% rate
- 16.4% record average 16.5%
- Open access
- 21% world 28%
What is National Center for High-Performance Computing 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 | #8,440 of 12,888 | 15.5% | 63 | #10804 |
Each strip is that field’s whole ranked pool, with the notch where National Center for High-Performance Computing 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 National Center for High-Performance Computing specialise in?
Where its research is concentrated relative to its size: Computer Science takes 5.1× the share of its output that it takes of world research.
- Computer ScienceField · 30.3 works5.1×
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, 5.1×. Every wedge is a field page.
- Computer Science 5.1×
- Decision Sciences 3.6×
- Physics and Astronomy 3.3×
- Engineering 1.6×
- Dentistry 1.3×
- Chemical Engineering 1.2×
- Earth and Planetary Sciences 1.2×
- Neuroscience 1.1×
- Materials Science 1.1×
- Environmental Science 0.8×
- Veterinary 0.8×
- Mathematics 0.8×
- Psychology 0.7×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Chemistry 0.4×
- Energy 0.3×
- Health Professions 0.3×
- Medicine 0.1×
- Immunology and Microbiology 0.1×
- Social Sciences 0.1×
- Agricultural and Biological Sciences 0.1×
- Nursing 0.1×
- Economics, Econometrics and Finance 0.1×
- Business, Management and Accounting 0.1×
Who are the top researchers at National Center for High-Performance Computing?
Ranked on the composite score, Chia-Chen Kuo, Jee‐Gong Chang and Wen‐Yi Chang lead among researchers whose main affiliation is National Center for High-Performance Computing.
- 1 Chia-Chen Kuo · #166,639 worldwide 113 citations · 25 works
- 2 Jee‐Gong Chang · #653,279 worldwide 52 citations · 21 works
- 3 Wen‐Yi Chang · #1,389,641 worldwide 29 citations · 15 works
- 4 Wen‐Jay Lee · #1,595,646 worldwide 17 citations · 15 works
Which keywords describe research at National Center for High-Performance Computing?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Convolutional Neural Networks, IoT Security, Neural Networks, Data Mining, Internet of Things and Cybersecurity.
- Transfer Learning
- Scientific Workflows
- Reproducibility
- Visual Tracking
- Semantic Analysis
- Bioinformatics
- Object Detection
- Grid Computing
- Software-Defined Networking
- Network Virtualization
- Computer Vision
- High-Performance Computing
- Intrusion Detection
- Distributed Systems
- Anomaly Detection
- Workflow Management
- IoT Security
- Internet of Things
- Neural Networks
- Machine Learning
- Deep Learning
- Convolutional Neural Networks
- Healthcare
- Data Mining
- Cybersecurity
- 5G Networks
- Big Data
- Resource Management
- Network Security
- Real-time Tracking
- Image Classification
- Smart Cities
- Wireless Networks
- Image Recognition
- Task Scheduling
- Object Tracking
- Semantic Web Services
- Handwriting Recognition
- Rheology
- Text Detection
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 Learning16▲ 6.2×41 topics
- Machine Learning10▲ 3.8×29 topics
- Convolutional Neural Networks5▲ 9.5×9 topics
- Neural Networks4▲ 3.8×13 topics
- Healthcare4▲ 4.0×6 topics
- Internet of Things3▲ 5.1×5 topics
- Data Mining3▲ 5.8×4 topics
- IoT Security3▲ 13×3 topics
- Cybersecurity3▲ 14×2 topics
- Workflow Management3▲ 50×2 topics
- 5G Networks2▲ 16×2 topics
- Anomaly Detection2▲ 11×2 topics
- Big Data2▲ 3.5×6 topics
- Distributed Systems2▲ 18×3 topics
- Resource Management2▲ 17×2 topics
- Intrusion Detection2▲ 19×1 topic
- Network Security2▲ 21×1 topic
- High-Performance Computing2▲ 25×2 topics
- Real-time Tracking2▲ 20×2 topics
- Computer Vision2▲ 7.5×3 topics
- Image Classification2▲ 11×2 topics
- Network Virtualization2▲ 55×1 topic
- Smart Cities2▲ 7.6×2 topics
- Software-Defined Networking2▲ 55×1 topic
- Wireless Networks2▲ 13×3 topics
- Grid Computing1▲ 55×1 topic
- Image Recognition1▲ 14×1 topic
- Object Detection1▲ 15×1 topic
- Task Scheduling1▲ 55×1 topic
- Bioinformatics1▲ 15×2 topics
- Object Tracking1▲ 24×1 topic
- Semantic Analysis1▲ 46×2 topics
- Semantic Web Services1▲ 34×2 topics
- Visual Tracking1▲ 22×1 topic
- Handwriting Recognition1▲ 69×1 topic
- Reproducibility1▲ 44×1 topic
- Rheology1▲ 7.9×4 topics
- Scientific Workflows1▲ 44×1 topic
- Text Detection1▲ 69×1 topic
- Transfer Learning1▲ 7.9×3 topics
Which research topics does National Center for High-Performance Computing publish most on?
By volume in 2022–2025: Network Security and Intrusion Detection, Software-Defined Networks and 5G, Distributed and Parallel Computing Systems and Advanced Neural Network Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Network Security and Intrusion Detection Computer Networks and Communications 2 works
- 2 Software-Defined Networks and 5G Computer Networks and Communications 2 works
- 3 Distributed and Parallel Computing Systems Computer Networks and Communications 1 works
- 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 5 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 1 works
- 6 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 1 works
- 7 Scientific Computing and Data Management Information Systems and Management 1 works
- 8 Advanced Steganography and Watermarking Techniques Computer Vision and Pattern Recognition 1 works
- 9 IoT and Edge/Fog Computing Computer Networks and Communications 1 works
- 10 Big Data Technologies and Applications Information Systems and Management 1 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 National Center for High-Performance Computing's research output changed?
Output in 2018–2022 was 22% 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 Hsinchu
- National Yang Ming Chiao Tung University
- National Tsing Hua University
- Industrial Technology Research Institute
- Mackay Memorial Hospital
- National Health Research Institutes
- National Synchrotron Radiation Research Center
- Chung Hua University
- Taiwan Semiconductor Manufacturing Company (Taiwan)
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.