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Research facility · Taipei · Taiwan

Institute of Information Science, Academia Sinica

In research, Institute of Information Science, Academia Sinica stands highest in Computer Science (#2,317 of 4,667 worldwide) and Physical Sciences (#8,516 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 12.5× its share of world research.

iis.sinica.edu.twROR OpenAlex
World rank, 2022–2025
#14,063
of 28,054 · #10,924 all time
Rank in Taiwan
#131
of 221
Research works
2k
▼ 14% vs 2013–17
Citations
52k
26.3 per fractional work
Top-10% rate
13.4%
record average 16.5%
Open access
17%
world 28%

What is Institute of Information Science, Academia Sinica 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 #2,317 of 4,667 11.9%119 #1012
Physical SciencesDomain #8,516 of 12,888 11.9%155 #7165

Each strip is that field’s whole ranked pool, with the notch where Institute of Information Science, Academia Sinica 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 Institute of Information Science, Academia Sinica specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 12.5× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 31.6 works13×
  2. Artificial IntelligenceSubfield · 40.8 works8.5×
  3. Computer ScienceField · 118.5 works7.6×
← 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: 0.08× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 1.14× its world share, 12 worksBiochemistry, Geneti…Immunology and Microbiology: 0.68× its world share, 1 worksImmunology and Micro…Neuroscience: 2.22× its world share, 7 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.07× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.23× its world share, 0 worksChemical EngineeringChemistry: 0.40× its world share, 1 worksChemistryComputer Science: 7.62× its world share, 118 worksComputer ScienceEarth and Planetary Sciences: 1.25× its world share, 4 worksEarth and Planetary …Energy: 0.10× its world share, 0 worksEnergyEngineering: 0.63× its world share, 19 worksEngineeringEnvironmental Science: 0.58× its world share, 6 worksEnvironmental ScienceMaterials Science: 0.20× its world share, 1 worksMaterials ScienceMathematics: 1.24× its world share, 3 worksMathematicsPhysics and Astronomy: 0.36× its world share, 2 worksPhysics and AstronomyHealth Professions: 0.08× its world share, 0 worksHealth ProfessionsMedicine: 0.13× its world share, 5 worksMedicineArts and Humanities: 0.18× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.33× its world share, 2 worksBusiness, Management…Decision Sciences: 2.30× its world share, 4 worksDecision SciencesEconomics, Econometrics and Finance: 0.28× its world share, 1 worksEconomics, Econometr…Psychology: 0.74× its world share, 4 worksPsychologySocial Sciences: 0.19× its world share, 5 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 7.6×. Every wedge is a field page.

Who are the top researchers at Institute of Information Science, Academia Sinica?

Ranked on the composite score, Hong-Yuan Mark Liao, Kuan-Ta Chen and Chu‐Song Chen lead among researchers whose main affiliation is Institute of Information Science, Academia Sinica.

  1. 1 Hong-Yuan Mark Liao Taiwan · #6,798 worldwide 3.1k citations · 54 works
  2. 2 Kuan-Ta Chen Taiwan · #73,184 worldwide 313 citations · 43 works
  3. 3 Chu‐Song Chen Taiwan · #101,434 worldwide 453 citations · 50 works
  4. 4 Jan-Ming Ho Taiwan · #123,654 worldwide 337 citations · 68 works
  5. 5 Tyng-Luh Liu Taiwan · #156,278 worldwide 214 citations · 26 works
  6. 6 Wen−Lian Hsu Taiwan · #166,352 worldwide 242 citations · 45 works
  7. 7 Li‐Wei Kang Taiwan · #179,209 worldwide 190 citations · 28 works
  8. 8 Churn‐Jung Liau Taiwan · #186,136 worldwide 222 citations · 45 works
  9. 9 Wei-Yun Ma Taiwan · #189,358 worldwide 196 citations · 23 works
  10. 10 Chung‐Yen Lin Taiwan · #259,012 worldwide 122 citations · 21 works
All ranked researchers at Institute of Information Science, Academia Sinica

Which keywords describe research at Institute of Information Science, Academia Sinica?

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, Feature Extraction, Convolutional Networks, Audio Signal Classification and Music Information Retrieval.

▲ 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 Learning56▲ 8.2×56 topics
  2. Neural Networks29▲ 9.4×24 topics
  3. Machine Learning21▲ 3.2×45 topics
  4. Convolutional Neural Networks21▲ 14×12 topics
  5. Feature Extraction9▲ 10×6 topics
  6. Audio Signal Classification6▲ 73×1 topic
  7. Convolutional Networks6▲ 21×3 topics
  8. Music Information Retrieval6▲ 73×1 topic
  9. Unsupervised Learning6▲ 20×3 topics
  10. Representation Learning5▲ 19×3 topics
  11. Beamforming5▲ 23×2 topics
  12. Deep Neural Networks5▲ 22×3 topics
  13. Audio-Visual Speech Recognition5▲ 45×1 topic
  14. Image Classification5▲ 14×2 topics
  15. Speech Enhancement5▲ 45×1 topic
  16. Text Classification5▲ 15×3 topics
  17. Human-Computer Interaction5▲ 13×5 topics
  18. Computer Vision4▲ 8.3×2 topics
  19. Information Retrieval4▲ 10×2 topics
  20. Parallel Computing4▲ 19×4 topics
  21. Pose Estimation4▲ 20×2 topics
  22. Image Recognition4▲ 17×1 topic
  23. Object Detection4▲ 17×1 topic
  24. Acoustic Modeling4▲ 58×1 topic
  25. Speaker Verification4▲ 58×1 topic
  26. Machine Translation4▲ 12×1 topic
  27. Semi-Supervised Learning4▲ 18×3 topics
  28. Word Representation4▲ 16×1 topic
  29. Anomaly Detection4▲ 6.5×4 topics
  30. Reinforcement Learning4▲ 17×2 topics
  31. Time Series4▲ 11×3 topics
  32. Model Checking4▲ 41×3 topics
  33. Action Recognition4▲ 37×1 topic
  34. Spatiotemporal Features4▲ 37×1 topic
  35. Sparse Representation3▲ 8.4×6 topics
  36. Transfer Learning3▲ 8.6×3 topics
  37. Description Logics3▲ 33×2 topics
  38. Knowledge Representation3▲ 18×2 topics
  39. Meta-Learning3▲ 19×2 topics
  40. Multi-Agent Systems3▲ 8.3×5 topics

Which research topics does Institute of Information Science, Academia Sinica publish most on?

By volume in 2022–2025: Music and Audio Processing, Speech and Audio Processing, Advanced Neural Network Applications and Speech Recognition and Synthesis.

Music and Audio Processing6Music and Audio Processing: 6 fractional worksSpeech and Audio Process…5Speech and Audio Processing: 5 fractional worksAdvanced Neural Network …4Advanced Neural Network Applications: 4 fractional worksSpeech Recognition and S…4Speech Recognition and Synthesis: 4 fractional worksTopic Modeling4Topic Modeling: 4 fractional worksHuman Pose and Action Recognition: 4 fractional worksNatural Language Process…3Natural Language Processing Techniques: 3 fractional worksDomain Adaptation and Fe…3Domain Adaptation and Few-Shot Learning: 3 fractional worksMusic Technology and Sou…3Music Technology and Sound Studies: 3 fractional worksMultimodal Machine Learn…2Multimodal Machine Learning Applications: 2 fractional works
Signal ProcessingComputer Vision and Pattern RecognitionArtificial Intelligence

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

  1. 1 Music and Audio Processing Signal Processing 6 works
  2. 2 Speech and Audio Processing Signal Processing 5 works
  3. 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
  4. 4 Speech Recognition and Synthesis Artificial Intelligence 4 works
  5. 5 Topic Modeling Artificial Intelligence 4 works
  6. 6 Human Pose and Action Recognition Computer Vision and Pattern Recognition 4 works
  7. 7 Natural Language Processing Techniques Artificial Intelligence 3 works
  8. 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
  9. 9 Music Technology and Sound Studies Computer Vision and Pattern Recognition 3 works
  10. 10 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 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.

openly available16.6%not open83.4%

World: 28% of research is openly available.

with international co-authors16.6%domestic only83.4%

World: 19% is written across borders.

How has Institute of Information Science, Academia Sinica's research output changed?

Output in 2018–2022 was 14% 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 Taipei

All research institutions in Taipei

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.