Research Center for Information Technology Innovation, Academia Sinica
In research, Research Center for Information Technology Innovation, Academia Sinica stands highest in Computer Science (#3,993 of 4,667 worldwide) and Physical Sciences (#11,307 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 6.5× its share of world research.
- World rank, 2022–2025
- #21,368 of 28,054 · #19,025 all time
- Rank in Taiwan
- #180 of 221
- Research works
- 756 ▼ 40% vs 2013–17
- Citations
- 14k 18.5 per fractional work
- Top-10% rate
- 14.7% record average 16.5%
- Open access
- 19% world 28%
What is Research Center for Information Technology Innovation, Academia Sinica 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #3,993 of 4,667 | 13.1% | 73 | #2277 | |
| Physical SciencesDomain | #11,307 of 12,888 | 14.1% | 117 | #11652 |
Each strip is that field’s whole ranked pool, with the notch where Research Center for Information Technology Innovation, 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 Research Center for Information Technology Innovation, Academia Sinica specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 6.5× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 23.2 works6.5×
- Computer ScienceField · 72.5 works6.3×
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, 6.3×. Every wedge is a field page.
- Computer Science 6.3×
- Neuroscience 2.4×
- Engineering 1.7×
- Decision Sciences 1.5×
- Mathematics 0.8×
- Physics and Astronomy 0.7×
- Economics, Econometrics and Finance 0.6×
- Psychology 0.5×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Medicine 0.3×
- Chemistry 0.3×
- Dentistry 0.2×
- Environmental Science 0.2×
- Agricultural and Biological Sciences 0.2×
- Social Sciences 0.2×
- Health Professions 0.2×
- Business, Management and Accounting 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Materials Science 0.1×
- Arts and Humanities 0.1×
- Energy 0.1×
Who are the top researchers at Research Center for Information Technology Innovation, Academia Sinica?
Ranked on the composite score, Yi‐Hsuan Yang, Sian-Jheng Lin and Chia‐Han Lee lead among researchers whose main affiliation is Research Center for Information Technology Innovation, Academia Sinica.
- 1 Yi‐Hsuan Yang Taiwan · #81,634 worldwide 352 citations · 66 works
- 2 Sian-Jheng Lin Taiwan · #256,850 worldwide 117 citations · 33 works
- 3 Chia‐Han Lee Taiwan · #292,016 worldwide 113 citations · 29 works
- 4 Ronald Y. Chang Taiwan · #368,240 worldwide 105 citations · 44 works
- 5 Yi-Ren Yeh Taiwan · #434,169 worldwide 179 citations · 18 works
- 6 Wei‐Ho Chung Taiwan · #478,718 worldwide 164 citations · 58 works
- 7 Yu Tsao Taiwan · #551,819 worldwide 493 citations · 182 works
- 8 Pi-Cheng Hsiu Taiwan · #554,486 worldwide 79 citations · 27 works
- 9 Yennun Huang Taiwan · #583,943 worldwide 91 citations · 41 works
- 10 Syu‐Siang Wang Taiwan · #688,885 worldwide 59 citations · 18 works
Which keywords describe research at Research Center for Information Technology Innovation, 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, Beamforming, Audio-Visual Speech Recognition, Speech Enhancement, Machine Learning and Feature Extraction.
- Wireless Communication
- Texture Analysis
- Semi-Supervised Learning
- Inertial Sensors
- Image Inpainting
- Generative Adversarial Networks
- Cellular Networks
- 5G Networks
- Massive MIMO
- Security and Privacy
- Wireless Sensor Networks
- Music Information Retrieval
- Wireless Networks
- Representation Learning
- Acoustic Modeling
- Deep Neural Networks
- Feature Extraction
- Audio-Visual Speech Recognition
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Beamforming
- Speech Enhancement
- Energy Efficiency
- Hidden Markov Models
- Speaker Verification
- Unsupervised Learning
- Audio Signal Classification
- Security
- IoT Security
- Heterogeneous Networks
- Channel Modeling
- Wearable Sensors
- Interference Alignment
- MIMO Systems
- Image Synthesis
- Mobile Edge Computing
- Speech Perception
- Transfer Learning
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 Learning48▲ 9.4×59 topics
- Neural Networks25▲ 11×22 topics
- Convolutional Neural Networks16▲ 15×12 topics
- Machine Learning13▲ 2.6×28 topics
- Beamforming11▲ 72×3 topics
- Audio-Visual Speech Recognition10▲ 121×1 topic
- Speech Enhancement10▲ 121×1 topic
- Feature Extraction7▲ 10.0×9 topics
- Energy Efficiency7▲ 4.8×9 topics
- Deep Neural Networks6▲ 34×2 topics
- Hidden Markov Models5▲ 61×2 topics
- Acoustic Modeling5▲ 95×1 topic
- Speaker Verification5▲ 95×1 topic
- Representation Learning5▲ 24×3 topics
- Unsupervised Learning4▲ 22×3 topics
- Wireless Networks4▲ 20×8 topics
- Audio Signal Classification4▲ 74×1 topic
- Music Information Retrieval4▲ 74×1 topic
- Security4▲ 4.1×11 topics
- Wireless Sensor Networks4▲ 6.0×6 topics
- IoT Security4▲ 8.2×3 topics
- Security and Privacy4▲ 13×3 topics
- Heterogeneous Networks4▲ 25×2 topics
- Massive MIMO4▲ 29×2 topics
- Channel Modeling3▲ 19×5 topics
- 5G Networks3▲ 11×4 topics
- Wearable Sensors3▲ 18×3 topics
- Cellular Networks3▲ 41×1 topic
- Interference Alignment3▲ 41×1 topic
- Generative Adversarial Networks3▲ 24×2 topics
- MIMO Systems3▲ 24×2 topics
- Image Inpainting3▲ 43×1 topic
- Image Synthesis3▲ 43×1 topic
- Inertial Sensors3▲ 26×2 topics
- Mobile Edge Computing2▲ 10×2 topics
- Semi-Supervised Learning2▲ 14×2 topics
- Speech Perception2▲ 20×2 topics
- Texture Analysis2▲ 7.0×2 topics
- Transfer Learning2▲ 7.9×3 topics
- Wireless Communication2▲ 10×4 topics
Which research topics does Research Center for Information Technology Innovation, Academia Sinica publish most on?
By volume in 2022–2025: Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing and Advanced MIMO Systems Optimization.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Speech and Audio Processing Signal Processing 10 works
- 2 Speech Recognition and Synthesis Artificial Intelligence 5 works
- 3 Music and Audio Processing Signal Processing 4 works
- 4 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 3 works
- 5 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 3 works
- 6 Indoor and Outdoor Localization Technologies Electrical and Electronic Engineering 2 works
- 7 IoT and Edge/Fog Computing Computer Networks and Communications 2 works
- 8 Privacy-Preserving Technologies in Data Artificial Intelligence 2 works
- 9 Hearing Loss and Rehabilitation Cognitive Neuroscience 2 works
- 10 Neural Networks and Applications Artificial Intelligence 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.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Research Center for Information Technology Innovation, Academia Sinica's research output changed?
Output in 2018–2022 was 40% 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 Taipei
- National Taiwan University
- National Taiwan University of Science and Technology
- National Taiwan University Hospital
- National Taipei University of Technology
- Academia Sinica
- Chang Gung Memorial Hospital
- National Taiwan Normal University
- Taipei Veterans General Hospital
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.