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Research facility · Singapore · Singapore

Institute for Infocomm Research

In research, Institute for Infocomm Research stands highest in Computer Science (#1,125 of 4,667 worldwide), Engineering (#1,711 of 6,636 worldwide) and Physical Sciences (#4,378 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 12.4× its share of world research.

a-star.edu.sg/i2rROR OpenAlex
World rank, 2022–2025
#7,143
of 28,054 · #2,546 all time
Rank in Singapore
#28
of 84
Research works
5.7k
▼ 52% vs 2013–17
Citations
154k
26.8 per fractional work
Top-10% rate
25.6%
record average 16.5%
Open access
16%
world 28%

What is Institute for Infocomm Research 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
Computer ScienceField #1,125 of 4,667 26.0%245 #524
EngineeringField #1,711 of 6,636 25.2%150 #308
Physical SciencesDomain #4,378 of 12,888 25.5%418 #1798
Computer Vision and Pattern RecognitionSubfield #369 of 941 28.5%77 #224
Artificial IntelligenceSubfield #922 of 1,884 23.4%106 #367

Each strip is that field’s whole ranked pool, with the notch where Institute for Infocomm Research 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. Computer Science#524 #1,125
  2. Engineering#308 #1,711
  3. Physical Sciences#1,798 #4,378
  4. Computer Vision and Pattern Recognition#224 #369
  5. Artificial Intelligence#367 #922
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 for Infocomm Research specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 12.4× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 77.1 works12×
  2. Artificial IntelligenceSubfield · 106.2 works8.9×
  3. Computer ScienceField · 244.7 works6.4×
  4. Aerospace EngineeringSubfield · 31.0 works5.4×
← less than its size predicts1×more →

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: 0.06× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.29× its world share, 8 worksBiochemistry, Geneti…Immunology and Microbiology: 0.03× its world share, 0 worksImmunology and Micro…Neuroscience: 1.77× its world share, 14 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.03× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.21× its world share, 0 worksChemical EngineeringChemistry: 0.12× its world share, 1 worksChemistryComputer Science: 6.39× its world share, 245 worksComputer ScienceEarth and Planetary Sciences: 0.60× its world share, 5 worksEarth and Planetary …Energy: 0.12× its world share, 1 worksEnergyEngineering: 2.03× its world share, 150 worksEngineeringEnvironmental Science: 0.20× its world share, 5 worksEnvironmental ScienceMaterials Science: 0.17× its world share, 3 worksMaterials ScienceMathematics: 0.37× its world share, 2 worksMathematicsPhysics and Astronomy: 0.66× its world share, 7 worksPhysics and AstronomyDentistry: 0.13× its world share, 0 worksDentistryHealth Professions: 0.16× its world share, 2 worksHealth ProfessionsMedicine: 0.24× its world share, 23 worksMedicineNursing: 0.01× its world share, 0 worksNursingBusiness, Management and Accounting: 0.24× its world share, 4 worksBusiness, Management…Decision Sciences: 0.72× its world share, 3 worksDecision SciencesEconomics, Econometrics and Finance: 0.08× its world share, 1 worksEconomics, Econometr…Psychology: 0.63× its world share, 10 worksPsychologySocial Sciences: 0.13× its world share, 8 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.4×. Every wedge is a field page.

Who are the top researchers at Institute for Infocomm Research?

Ranked on the composite score, Cuntai Guan, Xianming Qing and Jun Cheng lead among researchers whose main affiliation is Institute for Infocomm Research.

  1. 1 Cuntai Guan Singapore · #26,423 worldwide 885 citations · 115 works
  2. 2 Xianming Qing Singapore · #31,153 worldwide 644 citations · 71 works
  3. 3 Jun Cheng Singapore · #31,556 worldwide 382 citations · 60 works
  4. 4 Yonghong Zeng Singapore · #32,609 worldwide 510 citations · 58 works
  5. 5 Hwee-Pink Tan Singapore · #43,660 worldwide 476 citations · 46 works
  6. 6 Keng Peng Tee Singapore · #51,994 worldwide 427 citations · 33 works
  7. 7 Jian Su Singapore · #61,685 worldwide 410 citations · 37 works
  8. 8 Huajin Tang Singapore · #64,929 worldwide 361 citations · 50 works
  9. 9 Vijay Chandrasekhar Singapore · #67,387 worldwide 435 citations · 44 works
  10. 10 Zhongding Lei Singapore · #78,807 worldwide 307 citations · 37 works
All ranked researchers at Institute for Infocomm Research

Which keywords describe research at Institute for Infocomm Research?

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, Unsupervised Learning, Representation Learning, Semi-Supervised Learning and Transfer 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 Learning141▲ 8.3×72 topics
  2. Neural Networks74▲ 9.7×31 topics
  3. Machine Learning45▲ 2.8×56 topics
  4. Convolutional Neural Networks39▲ 11×14 topics
  5. Unsupervised Learning22▲ 32×3 topics
  6. Representation Learning20▲ 29×3 topics
  7. Semi-Supervised Learning18▲ 32×3 topics
  8. Transfer Learning17▲ 17×3 topics
  9. Meta-Learning16▲ 40×2 topics
  10. Feature Extraction15▲ 6.7×10 topics
  11. Convolutional Networks15▲ 21×3 topics
  12. Domain Adaptation14▲ 56×1 topic
  13. Few-Shot Learning14▲ 56×1 topic
  14. Text Classification14▲ 18×3 topics
  15. Information Retrieval14▲ 13×3 topics
  16. Energy Efficiency13▲ 2.8×16 topics
  17. Wireless Communications13▲ 15×5 topics
  18. Topic Modeling13▲ 18×2 topics
  19. Machine Translation13▲ 15×1 topic
  20. Word Representation13▲ 21×1 topic
  21. Deep Neural Networks12▲ 22×3 topics
  22. Computer Vision11▲ 8.5×4 topics
  23. Image Classification11▲ 13×2 topics
  24. Image Captioning10▲ 43×1 topic
  25. Visual Question Answering10▲ 27×1 topic
  26. Anomaly Detection10▲ 7.2×5 topics
  27. Image Recognition10▲ 15×1 topic
  28. Object Detection10▲ 16×1 topic
  29. Sparse Representation10▲ 11×6 topics
  30. Time Series10▲ 11×2 topics
  31. Beamforming10▲ 19×4 topics
  32. Neural Machine Translation9▲ 20×1 topic
  33. Statistical Machine Translation9▲ 20×1 topic
  34. Pose Estimation9▲ 17×3 topics
  35. Reinforcement Learning9▲ 16×4 topics
  36. Acoustic Modeling8▲ 44×1 topic
  37. Speaker Verification8▲ 44×1 topic
  38. Depth Estimation8▲ 19×2 topics
  39. High-Dimensional Data8▲ 10.0×3 topics
  40. Outlier Detection8▲ 11×1 topic

Which research topics does Institute for Infocomm Research publish most on?

By volume in 2022–2025: Domain Adaptation and Few-Shot Learning, Topic Modeling, Multimodal Machine Learning Applications and Advanced Neural Network Applications.

Domain Adaptation and Fe…14Domain Adaptation and Few-Shot Learning: 14 fractional worksTopic Modeling13Topic Modeling: 13 fractional worksMultimodal Machine Learn…10Multimodal Machine Learning Applications: 10 fractional worksAdvanced Neural Network …10Advanced Neural Network Applications: 10 fractional worksNatural Language Processing Techniques: 9 fractional worksSpeech Recognition and Synthesis: 8 fractional worksAnomaly Detection Techni…8Anomaly Detection Techniques and Applications: 8 fractional worksSpeech and Audio Processing: 7 fractional worksAntenna Design and Analysis: 7 fractional worksHuman Pose and Action Re…7Human Pose and Action Recognition: 7 fractional works
Artificial IntelligenceComputer Vision and Pattern RecognitionSignal ProcessingAerospace Engineering

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Domain Adaptation and Few-Shot Learning Artificial Intelligence 14 works
  2. 2 Topic Modeling Artificial Intelligence 13 works
  3. 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 10 works
  4. 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 10 works
  5. 5 Natural Language Processing Techniques Artificial Intelligence 9 works
  6. 6 Speech Recognition and Synthesis Artificial Intelligence 8 works
  7. 7 Anomaly Detection Techniques and Applications Artificial Intelligence 8 works
  8. 8 Speech and Audio Processing Signal Processing 7 works
  9. 9 Antenna Design and Analysis Aerospace Engineering 7 works
  10. 10 Human Pose and Action Recognition Computer Vision and Pattern Recognition 7 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 available15.9%not open84.1%

World: 28% of research is openly available.

with international co-authors28.4%domestic only71.6%

World: 19% is written across borders.

How has Institute for Infocomm Research's research output changed?

Output in 2018–2022 was 52% lower than in 2013–2017.

199520002005201020152020
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.