Jin Song Dong
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Computer Networks and Communications top 2%
- Software top 1%
- Computational Theory and Mathematics top 1%
- Topics
- Formal Methods in Verification (55 papers)Advanced Software Engineering Methodologies (40 papers)Software Testing and Debugging Techniques (32 papers)
In The Last Decade
Jin Song Dong
193 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 1.1k
- Information Systems 888
- Computer Networks and Communications 621
- Software 494
- Computational Theory and Mathematics 455
Countries citing papers authored by Jin Song Dong
This map shows the geographic impact of Jin Song Dong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Song Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Song Dong more than expected).
Fields of papers citing papers by Jin Song Dong
This network shows the impact of papers produced by Jin Song Dong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Song Dong. The network helps show where Jin Song Dong may publish in the future.
Co-authorship network of co-authors of Jin Song Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Song Dong. A scholar is included among the top collaborators of Jin Song Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Song Dong. Jin Song Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages | 27 |
| 13 | 1 | |
| 14 | AUTHSCAN: Automatic Extraction of Web Authentication Protocols from Implementations. | 63 |
| 15 | 3 | |
| 16 | 4 | |
| 17 | Institution Morphisms for Relating OWL and Z | 4 |
| 18 | Reasoning Support for SWRL-FOL Using Alloy. | 2 |
| 19 | Induction and Characterization of Laboratory Mutants of Phytophthora capsici Resistant to Dimethomorph and Flumorph | 5 |
| 20 | An object-oriented denotational semantics of a small programming language. | 2 |
About Jin Song Dong
Jin Song Dong is a scholar working on Software, Computational Theory and Mathematics and Hardware and Architecture, having authored 216 papers that have together received 2.9k indexed citations. Recurring topics across this work include Formal Methods in Verification (55 papers), Advanced Software Engineering Methodologies (40 papers) and Software Testing and Debugging Techniques (32 papers). The work is most often cited by research in Software (494 citations), Information Systems (888 citations) and Artificial Intelligence (1.1k citations). Jin Song Dong has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Jun Sun, Yang Liu, Seyedali Mirjalili, Guangdong Bai, Yun Lin, Andrew Lewis, Lu Huang, Hong Jiang, Rui Han and Dongyou Zhang. Their work appears in journals such as Applied and Environmental Microbiology, IEEE Communications Surveys & Tutorials and Atmospheric Environment.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.