Jin Song Dong
Jin Song Dong publishes mostly in Artificial Intelligence, Information Systems and Computational Theory and Mathematics, on topics such as Formal Methods in Verification, Software Testing and Debugging Techniques and Advanced Software Engineering Methodologies.
- World rank
- #671,385 of 7,710,434 ranked researchers
- Rank in Singapore
- #3,894 of 23,642
- Works
- 432
- Citations
- 7.1k
- Citations per work
- 16.3
What does Jin Song Dong research?
Jin Song Dong's work is mostly in Computer Science (73%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences31472.6%
- Computer Science31472.6%
- Everything else11827.4%
- 1Artificial Intelligence24% of their works
- 2Information Systems12% of their works
- 3Computational Theory and Mathematics12% of their works
- 4Software11% of their works
- 5Computer Networks and Communications8% of their works
- 6Hardware and Architecture5% of their works
Research topics
- Formal Methods in Verification
- Software Testing and Debugging Techniques
- Advanced Software Engineering Methodologies
- Service-Oriented Architecture and Web Services
- Software Engineering Research
- Advanced Malware Detection Techniques
- Model-Driven Software Engineering Techniques
- Adversarial Robustness in Machine Learning
Which keywords describe Jin Song Dong's research?
The keywords of their largest research topics: Machine Learning, Model Checking, Symbolic Model Checker, Deep Learning, Automated Testing, Software Fault Localization, Autonomic Computing and Self-Adaptive Systems.
- Robustness
- Model-Driven Engineering
- Refactoring
- Code Clone Detection
- Semantic Web Services
- Self-Adaptive Systems
- Software Fault Localization
- Deep Learning
- Model Checking
- Machine Learning
- Symbolic Model Checker
- Automated Testing
- Autonomic Computing
- QoS-Aware Middleware
- Android Malware
- Detection
- Domain-Specific Languages
- Adversarial Examples
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 18 words, with their numbers
- Machine Learning1183 topics
- Model Checking1151 topic
- Symbolic Model Checker1151 topic
- Deep Learning772 topics
- Automated Testing651 topic
- Software Fault Localization651 topic
- Autonomic Computing641 topic
- Self-Adaptive Systems641 topic
- QoS-Aware Middleware511 topic
- Semantic Web Services511 topic
- Android Malware411 topic
- Code Clone Detection411 topic
- Detection411 topic
- Refactoring411 topic
- Domain-Specific Languages401 topic
- Model-Driven Engineering401 topic
- Adversarial Examples361 topic
- Robustness361 topic
Where does Jin Song Dong work?
Jin Song Dong's main affiliation in the publication record is National University of Singapore, Singapore.
How many publications and citations does Jin Song Dong have?
OpenAlex counts 432 works and 7,052 citations for Jin Song Dong, an h-index of 36, ranking #671,385 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
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