Science Explorer Interactive view Map
Research facility · Singapore · Singapore

Institute of High Performance Computing

In research, Institute of High Performance Computing stands highest in Physical Sciences (#1,240 of 12,888 worldwide), Engineering (#1,123 of 6,636 worldwide) and Computer Science (#1,614 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Materials Chemistry — Atomic and Molecular Physics, and Optics is 4.7× its share of world research.

World rank, 2022–2025
#1,994
of 28,054 · #2,072 all time
Rank in Singapore
#9
of 84
Research works
2.9k
▼ 4% vs 2013–17
Citations
90k
31.0 per fractional work
Top-10% rate
30.7%
record average 16.5%
Open access
26%
world 28%

What is Institute of 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 #1,240 of 12,888 30.1%523 #1407
EngineeringField #1,123 of 6,636 28.1%238 #1321
Computer ScienceField #1,614 of 4,667 36.1%123 #1552
Artificial IntelligenceSubfield #730 of 1,884 37.0%65 #1331
Materials ScienceField #1,189 of 2,468 23.0%73 #831
Electrical and Electronic EngineeringSubfield #1,151 of 2,318 27.2%60 #1287

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

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Physical Sciences#1,407 #1,240
  2. Engineering#1,321 #1,123
  3. Computer Science#1,552 #1,614
  4. Artificial Intelligence#1,331 #730
  5. Materials Science#831 #1,189
  6. Electrical and Electronic Engineering#1,287 #1,151
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Institute of High Performance Computing specialise in?

Where its research is concentrated relative to its size: Atomic and Molecular Physics, and Optics takes 4.7× the share of its output that it takes of world research.

  1. Atomic and Molecular Physics, and OpticsSubfield · 20.9 works4.7×
  2. Computer Vision and Pattern RecognitionSubfield · 35.0 works4.5×
  3. Materials ChemistrySubfield · 52.8 works4.3×
  4. Artificial IntelligenceSubfield · 64.8 works4.3×
← 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: 0.08× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.27× its world share, 9 worksBiochemistry, Geneti…Immunology and Microbiology: 0.03× its world share, 0 worksImmunology and Micro…Neuroscience: 0.91× its world share, 9 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.19× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 2.44× its world share, 5 worksChemical EngineeringChemistry: 1.17× its world share, 12 worksChemistryComputer Science: 2.53× its world share, 123 worksComputer ScienceEarth and Planetary Sciences: 0.63× its world share, 6 worksEarth and Planetary …Energy: 2.10× its world share, 12 worksEnergyEngineering: 2.54× its world share, 238 worksEngineeringEnvironmental Science: 0.54× its world share, 17 worksEnvironmental ScienceMaterials Science: 3.33× its world share, 72 worksMaterials ScienceMathematics: 0.36× its world share, 3 worksMathematicsPhysics and Astronomy: 2.58× its world share, 36 worksPhysics and AstronomyDentistry: 0.21× its world share, 1 worksDentistryHealth Professions: 0.27× its world share, 4 worksHealth ProfessionsMedicine: 0.29× its world share, 35 worksMedicineNursing: 0.20× its world share, 1 worksNursingArts and Humanities: 0.03× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.25× its world share, 5 worksBusiness, Management…Decision Sciences: 1.20× its world share, 7 worksDecision SciencesEconomics, Econometrics and Finance: 0.28× its world share, 4 worksEconomics, Econometr…Psychology: 0.34× its world share, 6 worksPsychologySocial Sciences: 0.20× its world share, 16 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Materials Science, 3.3×. Every wedge is a field page.

Who are the top researchers at Institute of High Performance Computing?

Ranked on the composite score, Yong‐Wei Zhang, Qing‐Xiang Pei and Zhuangjian Liu lead among researchers whose main affiliation is Institute of High Performance Computing.

  1. 1 Yong‐Wei Zhang Singapore · #126,286 worldwide 1.1k citations · 152 works
  2. 2 Qing‐Xiang Pei Singapore · #135,014 worldwide 367 citations · 33 works
  3. 3 Zhuangjian Liu Singapore · #171,402 worldwide 187 citations · 21 works
  4. 4 Yongqing Cai Singapore · #205,888 worldwide 361 citations · 45 works
  5. 5 Yuriy Akimov Singapore · #223,221 worldwide 131 citations · 25 works
  6. 6 Liye Zhang Singapore · #223,493 worldwide 130 citations · 23 works
  7. 7 C. Lu Singapore · #245,466 worldwide 328 citations · 62 works
  8. 8 T.F. Guo Singapore · #281,786 worldwide 101 citations · 26 works
  9. 9 Zhaoxuan Wu Singapore · #316,533 worldwide 287 citations · 19 works
  10. 10 Hee Joo Poh Singapore · #390,424 worldwide 93 citations · 17 works
All ranked researchers at Institute of High Performance Computing

Which keywords describe research at Institute of High Performance Computing?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Mechanical Properties, Two-Dimensional Materials, Graphene, Additive Manufacturing and Convolutional Neural Networks.

▲ 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 Learning81▲ 3.8×67 topics
  2. Machine Learning49▲ 2.4×60 topics
  3. Neural Networks37▲ 3.9×31 topics
  4. Mechanical Properties24▲ 3.9×27 topics
  5. Graphene18▲ 4.2×11 topics
  6. Convolutional Neural Networks18▲ 3.9×11 topics
  7. Nanocomposites17▲ 3.3×16 topics
  8. Microstructure16▲ 4.8×12 topics
  9. Two-Dimensional Materials15▲ 10×4 topics
  10. Energy Storage15▲ 3.7×9 topics
  11. Additive Manufacturing14▲ 7.3×6 topics
  12. Cathode Materials13▲ 5.3×3 topics
  13. Electrocatalysis12▲ 6.7×4 topics
  14. Polymer Composites12▲ 7.1×6 topics
  15. Security12▲ 2.9×12 topics
  16. Heat Transfer11▲ 3.5×14 topics
  17. Materials11▲ 7.3×6 topics
  18. Thermal Management11▲ 5.1×7 topics
  19. Nanostructures10▲ 4.1×13 topics
  20. Transfer Learning10▲ 8.0×3 topics
  21. Thermal Conductivity9▲ 9.7×6 topics
  22. Electronic Structure9▲ 8.1×8 topics
  23. Medical Image Analysis9▲ 7.7×4 topics
  24. Entanglement9▲ 9.4×4 topics
  25. Metamaterials9▲ 10×5 topics
  26. Numerical Simulation9▲ 4.8×11 topics
  27. Catalysts9▲ 7.0×3 topics
  28. Rechargeable Batteries9▲ 5.1×2 topics
  29. Unsupervised Learning9▲ 9.7×3 topics
  30. Energy Conversion8▲ 6.6×3 topics
  31. Representation Learning8▲ 9.7×3 topics
  32. Macular Degeneration8▲ 10×3 topics
  33. Diabetic Retinopathy8▲ 12×2 topics
  34. Image Classification8▲ 7.0×2 topics
  35. Semi-Supervised Learning8▲ 11×3 topics
  36. Wave Propagation7▲ 10×3 topics
  37. Optic Nerve7▲ 11×2 topics
  38. Turbulent Flow7▲ 9.3×4 topics
  39. Image Recognition7▲ 8.2×1 topic
  40. Object Detection7▲ 8.6×1 topic

Which research topics does Institute of High Performance Computing publish most on?

By volume in 2022–2025: Advanced Neural Network Applications, 2D Materials and Applications, Retinal Imaging and Analysis and Electrocatalysts for Energy Conversion.

  1. 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 7 works
  2. 2 2D Materials and Applications Materials Chemistry 6 works
  3. 3 Retinal Imaging and Analysis Radiology, Nuclear Medicine and Imaging 6 works
  4. 4 Electrocatalysts for Energy Conversion Renewable Energy, Sustainability and the Environment 5 works
  5. 5 Additive Manufacturing Materials and Processes Mechanical Engineering 5 works
  6. 6 Domain Adaptation and Few-Shot Learning Artificial Intelligence 5 works
  7. 7 Quantum Information and Cryptography Artificial Intelligence 5 works
  8. 8 Advancements in Battery Materials Electrical and Electronic Engineering 5 works
  9. 9 Graphene research and applications Materials Chemistry 5 works
  10. 10 Machine Learning in Materials Science Materials Chemistry 5 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 available26.0%not open74.0%

World: 28% of research is openly available.

with international co-authors42.5%domestic only57.5%

World: 19% is written across borders.

How has Institute of High Performance Computing's research output changed?

Output in 2018–2022 was 4% lower than in 2013–2017.

200020102020
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 Singapore

All research institutions in Singapore

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.