State Key Laboratory of Software Engineering
In research, State Key Laboratory of Software Engineering stands highest in Physical Sciences (#20,187 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Information Systems, Computer Networks and Communications and Artificial Intelligence — Information Systems is 16.0× its share of world research.
- World rank, all time
- #39,553 of 42,892
- Rank in ??
- #816 of 1,041
- Research works
- 145 ▼ 94% vs 2013–17
- Citations
- 1.6k 10.9 per fractional work
- Top-10% rate
- 0.0% record average 16.5%
- Open access
- 11% world 28%
What is State Key Laboratory of Software Engineering known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #20,187 of 21,541 | 20.7% | 129 |
Each strip is that field’s whole ranked pool, with the notch where State Key Laboratory of Software Engineering 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 State Key Laboratory of Software Engineering specialise in?
Where its research is concentrated relative to its size: Information Systems takes 16.0× the share of its output that it takes of world research.
- Information SystemsSubfield · 28.6 works16×
- Computer Networks and CommunicationsSubfield · 21.9 works14×
- Artificial IntelligenceSubfield · 30.3 works11×
- Computer ScienceField · 108.8 works11×
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.
Which keywords describe research at State Key Laboratory of Software Engineering?
By fractional works in all years, weighted toward what it does more of than the world: Machine Learning, Deep Learning, Semantic Web Services, Distributed Systems, QoS-Aware Middleware, Service-Oriented Computing, Evolutionary Algorithms and Data Integration.
- Workflow Mining
- Clustering Algorithms
- RDF
- Linked Data
- Classification
- Neural Network
- Anomaly Detection
- Refactoring
- Self-Adaptive Systems
- Firefly Algorithm
- Ant Colony Optimization
- Metaheuristics
- Differential Evolution
- Feature Selection
- Requirements Engineering
- Security
- Data Integration
- Service-Oriented Computing
- Semantic Web Services
- Deep Learning
- Machine Learning
- Distributed Systems
- QoS-Aware Middleware
- Evolutionary Algorithms
- Particle Swarm Optimization
- Ontology
- Semantic Web
- Knowledge Representation
- Global Optimization
- Model-Based Development
- Autonomic Computing
- Multiobjective Optimization
- Code Clone Detection
- Resource Management
- Cloud Computing
- Description Logics
- Information Retrieval
- Multi-Agent Systems
- Business Process Management
- High-Performance Computing
Size is fractional works in all years 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
- Machine Learning19▲ 6.1×23 topics
- Deep Learning16▲ 5.1×39 topics
- Distributed Systems10▲ 30×6 topics
- Semantic Web Services10▲ 78×2 topics
- QoS-Aware Middleware10▲ 120×1 topic
- Service-Oriented Computing10▲ 120×1 topic
- Evolutionary Algorithms10▲ 63×4 topics
- Data Integration7▲ 20×4 topics
- Particle Swarm Optimization7▲ 43×3 topics
- Security6▲ 10×11 topics
- Ontology6▲ 25×2 topics
- Requirements Engineering6▲ 62×2 topics
- Semantic Web6▲ 27×4 topics
- Feature Selection5▲ 20×5 topics
- Knowledge Representation5▲ 25×4 topics
- Differential Evolution5▲ 51×2 topics
- Global Optimization5▲ 53×2 topics
- Metaheuristics5▲ 43×2 topics
- Model-Based Development5▲ 86×2 topics
- Ant Colony Optimization5▲ 58×1 topic
- Autonomic Computing5▲ 104×1 topic
- Firefly Algorithm5▲ 91×1 topic
- Multiobjective Optimization5▲ 57×2 topics
- Self-Adaptive Systems5▲ 104×1 topic
- Code Clone Detection4▲ 67×1 topic
- Refactoring4▲ 67×1 topic
- Resource Management4▲ 17×2 topics
- Anomaly Detection4▲ 18×4 topics
- Cloud Computing4▲ 11×5 topics
- Neural Network4▲ 10×4 topics
- Description Logics4▲ 28×2 topics
- Classification4▲ 7.4×5 topics
- Information Retrieval4▲ 18×3 topics
- Linked Data4▲ 34×1 topic
- Multi-Agent Systems4▲ 13×6 topics
- RDF4▲ 39×1 topic
- Business Process Management4▲ 60×1 topic
- Clustering Algorithms4▲ 22×3 topics
- High-Performance Computing4▲ 17×2 topics
- Workflow Mining4▲ 60×1 topic
Which research topics does State Key Laboratory of Software Engineering publish most on?
By volume in 2022–2025: Bioinformatics and Genomic Networks, Protein Structure and Dynamics, Microbial Metabolic Engineering and Bioproduction and Machine Learning in Bioinformatics.
- 1 Bioinformatics and Genomic Networks Molecular Biology 0 works
- 2 Protein Structure and Dynamics Molecular Biology 0 works
- 3 Microbial Metabolic Engineering and Bioproduction Molecular Biology 0 works
- 4 Machine Learning in Bioinformatics Molecular Biology 0 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 State Key Laboratory of Software Engineering's research output changed?
Output in 2018–2022 was 94% 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 Hubei
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.