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Research facility · Hsinchu · Taiwan

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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Computer ScienceField · 30.3 works5.1×
← 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: 0.12× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.47× its world share, 2 worksBiochemistry, Geneti…Immunology and Microbiology: 0.14× its world share, 0 worksImmunology and Micro…Neuroscience: 1.10× its world share, 1 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.41× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 1.24× its world share, 0 worksChemical EngineeringChemistry: 0.37× its world share, 0 worksChemistryComputer Science: 5.08× its world share, 30 worksComputer ScienceEarth and Planetary Sciences: 1.23× its world share, 2 worksEarth and Planetary …Energy: 0.34× its world share, 0 worksEnergyEngineering: 1.57× its world share, 18 worksEngineeringEnvironmental Science: 0.82× its world share, 3 worksEnvironmental ScienceMaterials Science: 1.07× its world share, 3 worksMaterials ScienceMathematics: 0.76× its world share, 1 worksMathematicsPhysics and Astronomy: 3.32× its world share, 6 worksPhysics and AstronomyDentistry: 1.34× its world share, 0 worksDentistryHealth Professions: 0.29× its world share, 1 worksHealth ProfessionsMedicine: 0.15× its world share, 2 worksMedicineNursing: 0.10× its world share, 0 worksNursingVeterinary: 0.80× its world share, 0 worksVeterinaryBusiness, Management and Accounting: 0.07× its world share, 0 worksBusiness, Management…Decision Sciences: 3.60× its world share, 3 worksDecision SciencesEconomics, Econometrics and Finance: 0.10× its world share, 0 worksEconomics, Econometr…Psychology: 0.71× its world share, 2 worksPsychologySocial Sciences: 0.14× its world share, 1 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 5.1×. Every wedge is a field page.

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. 1 Chia-Chen Kuo Taiwan · #166,639 worldwide 113 citations · 25 works
  2. 2 Jee‐Gong Chang Taiwan · #653,279 worldwide 52 citations · 21 works
  3. 3 Wen‐Yi Chang Taiwan · #1,389,641 worldwide 29 citations · 15 works
  4. 4 Wen‐Jay Lee Taiwan · #1,595,646 worldwide 17 citations · 15 works
All ranked researchers at National Center for High-Performance Computing

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.

▲ 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 Learning16▲ 6.2×41 topics
  2. Machine Learning10▲ 3.8×29 topics
  3. Convolutional Neural Networks5▲ 9.5×9 topics
  4. Neural Networks4▲ 3.8×13 topics
  5. Healthcare4▲ 4.0×6 topics
  6. Internet of Things3▲ 5.1×5 topics
  7. Data Mining3▲ 5.8×4 topics
  8. IoT Security3▲ 13×3 topics
  9. Cybersecurity3▲ 14×2 topics
  10. Workflow Management3▲ 50×2 topics
  11. 5G Networks2▲ 16×2 topics
  12. Anomaly Detection2▲ 11×2 topics
  13. Big Data2▲ 3.5×6 topics
  14. Distributed Systems2▲ 18×3 topics
  15. Resource Management2▲ 17×2 topics
  16. Intrusion Detection2▲ 19×1 topic
  17. Network Security2▲ 21×1 topic
  18. High-Performance Computing2▲ 25×2 topics
  19. Real-time Tracking2▲ 20×2 topics
  20. Computer Vision2▲ 7.5×3 topics
  21. Image Classification2▲ 11×2 topics
  22. Network Virtualization2▲ 55×1 topic
  23. Smart Cities2▲ 7.6×2 topics
  24. Software-Defined Networking2▲ 55×1 topic
  25. Wireless Networks2▲ 13×3 topics
  26. Grid Computing1▲ 55×1 topic
  27. Image Recognition1▲ 14×1 topic
  28. Object Detection1▲ 15×1 topic
  29. Task Scheduling1▲ 55×1 topic
  30. Bioinformatics1▲ 15×2 topics
  31. Object Tracking1▲ 24×1 topic
  32. Semantic Analysis1▲ 46×2 topics
  33. Semantic Web Services1▲ 34×2 topics
  34. Visual Tracking1▲ 22×1 topic
  35. Handwriting Recognition1▲ 69×1 topic
  36. Reproducibility1▲ 44×1 topic
  37. Rheology1▲ 7.9×4 topics
  38. Scientific Workflows1▲ 44×1 topic
  39. Text Detection1▲ 69×1 topic
  40. 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.

  1. 1 Network Security and Intrusion Detection Computer Networks and Communications 2 works
  2. 2 Software-Defined Networks and 5G Computer Networks and Communications 2 works
  3. 3 Distributed and Parallel Computing Systems Computer Networks and Communications 1 works
  4. 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
  5. 5 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 1 works
  6. 6 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 1 works
  7. 7 Scientific Computing and Data Management Information Systems and Management 1 works
  8. 8 Advanced Steganography and Watermarking Techniques Computer Vision and Pattern Recognition 1 works
  9. 9 IoT and Edge/Fog Computing Computer Networks and Communications 1 works
  10. 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.

openly available21.3%not open78.7%

World: 28% of research is openly available.

with international co-authors15.7%domestic only84.3%

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.

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 Hsinchu

All research institutions in Hsinchu

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.