Institute of Software
In research, Institute of Software stands highest in Computer Science (#266 of 4,667 worldwide), Physical Sciences (#2,465 of 12,888 worldwide) and Artificial Intelligence (#487 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Software, Hardware and Architecture and Computer Vision and Pattern Recognition — Software is 40.9× its share of world research.
- World rank, 2022–2025
- #3,767 of 28,054 · #5,215 all time
- Rank in China
- #887 of 3,058
- Research works
- 5.9k ▼ 14% vs 2013–17
- Citations
- 51k 8.7 per fractional work
- Top-10% rate
- 19.7% record average 16.5%
- Open access
- 18% world 28%
What is Institute of Software 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 | #266 of 4,667 | 19.5% | 690 | #424 | |
| Physical SciencesDomain | #2,465 of 12,888 | 18.9% | 974 | #3525 | |
| Artificial IntelligenceSubfield | #487 of 1,884 | 20.4% | 231 | #596 | |
| EngineeringField | #2,070 of 6,636 | 17.5% | 218 | #3682 | |
| Information SystemsSubfield | #504 of 1,291 | 25.7% | 88 | #475 | |
| Computer Vision and Pattern RecognitionSubfield | #443 of 941 | 13.6% | 136 | #624 | |
| Computer Networks and CommunicationsSubfield | #358 of 705 | 20.8% | 86 | #541 | |
| Social SciencesDomain | #6,467 of 10,521 | 19.4% | 101 | #7873 |
Each strip is that field’s whole ranked pool, with the notch where Institute of Software 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#424 #266
- Physical Sciences#3,525 #2,465
- Artificial Intelligence#596 #487
- Engineering#3,682 #2,070
- Information Systems#475 #504
- Computer Vision and Pattern Recognition#624 #443
- Computer Networks and Communications#541 #358
- Social Sciences#7,873 #6,467
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Institute of Software specialise in?
Where its research is concentrated relative to its size: Software takes 40.9× the share of its output that it takes of world research.
- SoftwareSubfield · 30.5 works41×
- Hardware and ArchitectureSubfield · 25.9 works20×
- Computer Vision and Pattern RecognitionSubfield · 135.8 works9.3×
- Computer Networks and CommunicationsSubfield · 85.7 works8.3×
- Artificial IntelligenceSubfield · 231.1 works8.3×
- Computer ScienceField · 690.1 works7.7×
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, 7.7×. Every wedge is a field page.
- Computer Science 7.7×
- Decision Sciences 1.5×
- Engineering 1.2×
- Mathematics 0.9×
- Neuroscience 0.8×
- Earth and Planetary Sciences 0.7×
- Physics and Astronomy 0.6×
- Business, Management and Accounting 0.6×
- Psychology 0.5×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Social Sciences 0.2×
- Environmental Science 0.2×
- Materials Science 0.2×
- Health Professions 0.2×
- Agricultural and Biological Sciences 0.2×
- Economics, Econometrics and Finance 0.2×
- Chemistry 0.1×
- Medicine 0.1×
- Energy 0.1×
- Arts and Humanities 0.1×
- Chemical Engineering 0.1×
- Immunology and Microbiology 0.0×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
- Dentistry 0.0×
- Nursing 0.0×
- Veterinary 0.0×
Who are the top researchers at Institute of Software?
Ranked on the composite score, Dengguo Feng, Xiaohui Hu and Shuling Wang lead among researchers whose main affiliation is Institute of Software.
- 1 Dengguo Feng China · #205,690 worldwide 632 citations · 143 works
- 2 Xiaohui Hu China · #216,784 worldwide 194 citations · 41 works
- 3 Shuling Wang China · #234,685 worldwide 122 citations · 34 works
- 4 Yu Qin China · #264,056 worldwide 109 citations · 27 works
- 5 Hengjun Zhao China · #268,456 worldwide 124 citations · 23 works
- 6 Naijun Zhan China · #282,543 worldwide 189 citations · 76 works
- 7 Wenhui Zhang China · #329,394 worldwide 101 citations · 23 works
- 8 Fusang Zhang China · #395,071 worldwide 102 citations · 23 works
- 9 Le Sun China · #410,961 worldwide 125 citations · 20 works
- 10 Yanjun Wu China · #416,177 worldwide 167 citations · 48 works
Which keywords describe research at Institute of Software?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Internet of Things, Convolutional Neural Networks, Distributed Systems, Security and Anomaly Detection.
- Behavioral Analysis
- Sparse Representation
- Object Detection
- Parallel Computing
- Automated Testing
- Model Checking
- Unsupervised Learning
- Code Clone Detection
- Image Classification
- Machine Translation
- Semi-Supervised Learning
- Representation Learning
- Wireless Sensor Networks
- Big Data
- Artificial Intelligence
- Healthcare
- Anomaly Detection
- Security
- Internet of Things
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Distributed Systems
- Data Mining
- IoT Security
- Information Retrieval
- Text Classification
- Security Analysis
- Cloud Computing
- Topic Modeling
- Word Representation
- Computer Vision
- Refactoring
- Convolutional Networks
- Detection
- Software Fault Localization
- Image Recognition
- Semantic Segmentation
- Graph Convolutional Networks
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 Learning284▲ 7.2×83 topics
- Machine Learning155▲ 4.1×83 topics
- Neural Networks132▲ 7.4×35 topics
- Internet of Things54▲ 5.3×25 topics
- Convolutional Neural Networks51▲ 6.0×14 topics
- Security44▲ 5.8×20 topics
- Distributed Systems40▲ 21×6 topics
- Anomaly Detection35▲ 10×5 topics
- Data Mining35▲ 4.0×17 topics
- Healthcare35▲ 2.6×12 topics
- IoT Security34▲ 9.2×3 topics
- Artificial Intelligence33▲ 2.1×37 topics
- Information Retrieval32▲ 13×5 topics
- Big Data30▲ 2.9×25 topics
- Text Classification28▲ 16×3 topics
- Wireless Sensor Networks28▲ 5.4×17 topics
- Security Analysis28▲ 14×4 topics
- Representation Learning28▲ 17×3 topics
- Cloud Computing26▲ 8.0×13 topics
- Semi-Supervised Learning25▲ 19×3 topics
- Topic Modeling25▲ 14×2 topics
- Machine Translation23▲ 12×1 topic
- Word Representation23▲ 17×1 topic
- Image Classification22▲ 11×3 topics
- Computer Vision22▲ 7.1×4 topics
- Code Clone Detection22▲ 48×1 topic
- Refactoring22▲ 48×1 topic
- Unsupervised Learning22▲ 13×3 topics
- Convolutional Networks22▲ 13×3 topics
- Model Checking21▲ 39×3 topics
- Detection20▲ 6.0×5 topics
- Automated Testing19▲ 64×1 topic
- Software Fault Localization19▲ 64×1 topic
- Parallel Computing18▲ 13×5 topics
- Image Recognition18▲ 11×2 topics
- Object Detection17▲ 12×1 topic
- Semantic Segmentation17▲ 12×1 topic
- Sparse Representation17▲ 7.7×6 topics
- Graph Convolutional Networks17▲ 13×2 topics
- Behavioral Analysis17▲ 12×2 topics
Which research topics does Institute of Software publish most on?
By volume in 2022–2025: Topic Modeling, Software Engineering Research, Software Testing and Debugging Techniques and Advanced Neural Network Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 23 works
- 2 Software Engineering Research Information Systems 22 works
- 3 Software Testing and Debugging Techniques Software 19 works
- 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 17 works
- 5 Advanced Malware Detection Techniques Signal Processing 16 works
- 6 Formal Methods in Verification Computational Theory and Mathematics 14 works
- 7 Software System Performance and Reliability Computer Networks and Communications 13 works
- 8 Natural Language Processing Techniques Artificial Intelligence 13 works
- 9 Anomaly Detection Techniques and Applications Artificial Intelligence 12 works
- 10 Advanced Graph Neural Networks Artificial Intelligence 12 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 Institute of Software's research output changed?
Output in 2018–2022 was 14% 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 Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power University
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.