Shanghai Key Laboratory of Trustworthy Computing
In research, Shanghai Key Laboratory of Trustworthy Computing stands highest in Computer Science (#1,686 of 4,667 worldwide), Physical Sciences (#7,901 of 12,888 worldwide) and Artificial Intelligence (#1,259 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence, Computer Networks and Communications and Computer Science — Artificial Intelligence is 13.2× its share of world research.
- World rank, 2022–2025
- #14,204 of 28,054 · #14,236 all time
- Rank in China
- #2,331 of 3,058
- Research works
- 978 ▲ 12% vs 2013–17
- Citations
- 10k 10.7 per fractional work
- Top-10% rate
- 18.0% record average 16.5%
- Open access
- 21% world 28%
What is Shanghai Key Laboratory of Trustworthy Computing 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 | #1,686 of 4,667 | 17.0% | 216 | #2036 | |
| Physical SciencesDomain | #7,901 of 12,888 | 17.6% | 258 | #8336 | |
| Artificial IntelligenceSubfield | #1,259 of 1,884 | 19.2% | 93 | #1864 |
Each strip is that field’s whole ranked pool, with the notch where Shanghai Key Laboratory of Trustworthy 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.
- Computer Science#2,036 #1,686
- Physical Sciences#8,336 #7,901
- Artificial Intelligence#1,864 #1,259
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Shanghai Key Laboratory of Trustworthy Computing specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 13.2× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 92.9 works13×
- Computer Networks and CommunicationsSubfield · 28.3 works11×
- Computer ScienceField · 216.0 works9.5×
- Computer Vision and Pattern RecognitionSubfield · 25.4 works6.9×
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, 9.5×. Every wedge is a field page.
- Computer Science 9.5×
- Decision Sciences 1.9×
- Engineering 0.8×
- Mathematics 0.5×
- Physics and Astronomy 0.4×
- Business, Management and Accounting 0.4×
- Neuroscience 0.3×
- Social Sciences 0.3×
- Health Professions 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Psychology 0.2×
- Medicine 0.1×
- Nursing 0.1×
- Economics, Econometrics and Finance 0.1×
- Materials Science 0.1×
- Earth and Planetary Sciences 0.1×
- Energy 0.1×
- Environmental Science 0.1×
- Arts and Humanities 0.1×
- Chemistry 0.0×
Which keywords describe research at Shanghai Key Laboratory of Trustworthy Computing?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Security, Data Mining, Differential Privacy, Federated Learning and Homomorphic Encryption.
- Behavioral Analysis
- Text Classification
- Blockchain
- Semi-Supervised Learning
- Satisfiability Modulo Theories
- Virtualization
- Automata
- 5G Networks
- Robustness
- Time Series
- Surveillance
- Cloud Computing
- Anomaly Detection
- Healthcare
- Privacy
- Internet of Things
- Homomorphic Encryption
- Differential Privacy
- Security
- Machine Learning
- Deep Learning
- Neural Networks
- Data Mining
- Federated Learning
- Identity-Based Encryption
- IoT Security
- Security Analysis
- Distributed Systems
- Model Checking
- Convolutional Neural Networks
- Temporal Logic
- Adversarial Examples
- Side-Channel Attacks
- Cryptanalysis
- Trust Management
- Representation Learning
- Symbolic Model Checker
- Information Retrieval
- Smart Contracts
- Fault Tolerance
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 Learning69▲ 6.9×62 topics
- Machine Learning52▲ 5.5×43 topics
- Neural Networks35▲ 7.8×27 topics
- Security24▲ 13×15 topics
- Data Mining18▲ 8.2×7 topics
- Differential Privacy13▲ 65×1 topic
- Federated Learning13▲ 65×1 topic
- Homomorphic Encryption13▲ 97×1 topic
- Identity-Based Encryption13▲ 97×1 topic
- Internet of Things12▲ 4.8×9 topics
- IoT Security12▲ 13×3 topics
- Privacy12▲ 14×5 topics
- Security Analysis12▲ 23×4 topics
- Healthcare11▲ 3.5×7 topics
- Distributed Systems11▲ 23×6 topics
- Anomaly Detection10▲ 12×4 topics
- Model Checking10▲ 74×3 topics
- Cloud Computing9▲ 11×5 topics
- Convolutional Neural Networks9▲ 4.2×11 topics
- Surveillance8▲ 11×4 topics
- Temporal Logic8▲ 79×2 topics
- Time Series7▲ 14×3 topics
- Adversarial Examples7▲ 50×1 topic
- Robustness7▲ 50×1 topic
- Side-Channel Attacks7▲ 52×3 topics
- 5G Networks7▲ 12×4 topics
- Cryptanalysis7▲ 29×4 topics
- Automata7▲ 85×2 topics
- Trust Management7▲ 64×2 topics
- Virtualization7▲ 30×2 topics
- Representation Learning7▲ 17×3 topics
- Satisfiability Modulo Theories7▲ 133×1 topic
- Symbolic Model Checker7▲ 133×1 topic
- Semi-Supervised Learning6▲ 20×3 topics
- Information Retrieval6▲ 9.6×3 topics
- Blockchain6▲ 8.3×1 topic
- Smart Contracts6▲ 12×1 topic
- Text Classification6▲ 12×2 topics
- Fault Tolerance6▲ 12×6 topics
- Behavioral Analysis6▲ 16×2 topics
Which research topics does Shanghai Key Laboratory of Trustworthy Computing publish most on?
By volume in 2022–2025: Privacy-Preserving Technologies in Data, Cryptography and Data Security, Adversarial Robustness in Machine Learning and Formal Methods in Verification.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Privacy-Preserving Technologies in Data Artificial Intelligence 13 works
- 2 Cryptography and Data Security Artificial Intelligence 13 works
- 3 Adversarial Robustness in Machine Learning Artificial Intelligence 7 works
- 4 Formal Methods in Verification Computational Theory and Mathematics 7 works
- 5 Blockchain Technology Applications and Security Information Systems 6 works
- 6 Anomaly Detection Techniques and Applications Artificial Intelligence 5 works
- 7 Cloud Data Security Solutions Information Systems 5 works
- 8 Advanced Malware Detection Techniques Signal Processing 5 works
- 9 Topic Modeling Artificial Intelligence 5 works
- 10 Software Testing and Debugging Techniques Software 4 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 Shanghai Key Laboratory of Trustworthy Computing's research output changed?
Output in 2018–2022 was 12% higher 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 Shanghai
- Shanghai Jiao Tong University
- Tongji University
- Fudan University
- Shanghai University
- East China Normal University
- East China University of Science and Technology
- Donghua University
- University of Shanghai for Science and Technology
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.