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Research facility · Shanghai · China

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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Computer Science#2,036 #1,686
  2. Physical Sciences#8,336 #7,901
  3. Artificial Intelligence#1,864 #1,259
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 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.

  1. Artificial IntelligenceSubfield · 92.9 works13×
  2. Computer Networks and CommunicationsSubfield · 28.3 works11×
  3. Computer ScienceField · 216.0 works9.5×
  4. Computer Vision and Pattern RecognitionSubfield · 25.4 works6.9×
← 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.

Biochemistry, Genetics and Molecular Biology: 0.18× its world share, 3 worksBiochemistry, Geneti…Neuroscience: 0.35× its world share, 2 worksNeuroscienceChemistry: 0.02× its world share, 0 worksChemistryComputer Science: 9.50× its world share, 216 worksComputer ScienceEarth and Planetary Sciences: 0.08× its world share, 0 worksEarth and Planetary …Energy: 0.06× its world share, 0 worksEnergyEngineering: 0.80× its world share, 35 worksEngineeringEnvironmental Science: 0.06× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.09× its world share, 1 worksMaterials ScienceMathematics: 0.45× its world share, 2 worksMathematicsPhysics and Astronomy: 0.43× its world share, 3 worksPhysics and AstronomyHealth Professions: 0.21× its world share, 2 worksHealth ProfessionsMedicine: 0.12× its world share, 7 worksMedicineNursing: 0.12× its world share, 0 worksNursingArts and Humanities: 0.06× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.42× its world share, 4 worksBusiness, Management…Decision Sciences: 1.93× its world share, 6 worksDecision SciencesEconomics, Econometrics and Finance: 0.10× its world share, 1 worksEconomics, Econometr…Psychology: 0.17× its world share, 2 worksPsychologySocial Sciences: 0.26× its world share, 10 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 9.5×. Every wedge is a field page.

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.

▲ 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 Learning69▲ 6.9×62 topics
  2. Machine Learning52▲ 5.5×43 topics
  3. Neural Networks35▲ 7.8×27 topics
  4. Security24▲ 13×15 topics
  5. Data Mining18▲ 8.2×7 topics
  6. Differential Privacy13▲ 65×1 topic
  7. Federated Learning13▲ 65×1 topic
  8. Homomorphic Encryption13▲ 97×1 topic
  9. Identity-Based Encryption13▲ 97×1 topic
  10. Internet of Things12▲ 4.8×9 topics
  11. IoT Security12▲ 13×3 topics
  12. Privacy12▲ 14×5 topics
  13. Security Analysis12▲ 23×4 topics
  14. Healthcare11▲ 3.5×7 topics
  15. Distributed Systems11▲ 23×6 topics
  16. Anomaly Detection10▲ 12×4 topics
  17. Model Checking10▲ 74×3 topics
  18. Cloud Computing9▲ 11×5 topics
  19. Convolutional Neural Networks9▲ 4.2×11 topics
  20. Surveillance8▲ 11×4 topics
  21. Temporal Logic8▲ 79×2 topics
  22. Time Series7▲ 14×3 topics
  23. Adversarial Examples7▲ 50×1 topic
  24. Robustness7▲ 50×1 topic
  25. Side-Channel Attacks7▲ 52×3 topics
  26. 5G Networks7▲ 12×4 topics
  27. Cryptanalysis7▲ 29×4 topics
  28. Automata7▲ 85×2 topics
  29. Trust Management7▲ 64×2 topics
  30. Virtualization7▲ 30×2 topics
  31. Representation Learning7▲ 17×3 topics
  32. Satisfiability Modulo Theories7▲ 133×1 topic
  33. Symbolic Model Checker7▲ 133×1 topic
  34. Semi-Supervised Learning6▲ 20×3 topics
  35. Information Retrieval6▲ 9.6×3 topics
  36. Blockchain6▲ 8.3×1 topic
  37. Smart Contracts6▲ 12×1 topic
  38. Text Classification6▲ 12×2 topics
  39. Fault Tolerance6▲ 12×6 topics
  40. 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.

  1. 1 Privacy-Preserving Technologies in Data Artificial Intelligence 13 works
  2. 2 Cryptography and Data Security Artificial Intelligence 13 works
  3. 3 Adversarial Robustness in Machine Learning Artificial Intelligence 7 works
  4. 4 Formal Methods in Verification Computational Theory and Mathematics 7 works
  5. 5 Blockchain Technology Applications and Security Information Systems 6 works
  6. 6 Anomaly Detection Techniques and Applications Artificial Intelligence 5 works
  7. 7 Cloud Data Security Solutions Information Systems 5 works
  8. 8 Advanced Malware Detection Techniques Signal Processing 5 works
  9. 9 Topic Modeling Artificial Intelligence 5 works
  10. 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.

openly available20.8%not open79.2%

World: 28% of research is openly available.

with international co-authors21.8%domestic only78.2%

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.

20002005201020152020
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 Shanghai

All research institutions in Shanghai

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.