Dawn Song

About

Dawn Song is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Dawn Song has authored 13 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Dawn Song’s work include Advanced Malware Detection Techniques (6 papers), Information and Cyber Security (3 papers) and Cryptography and Data Security (2 papers). Dawn Song is often cited by papers focused on Advanced Malware Detection Techniques (6 papers), Information and Cyber Security (3 papers) and Cryptography and Data Security (2 papers). Dawn Song collaborates with scholars based in United States, China and Germany. Dawn Song's co-authors include Mario Frank, Ivan Martinović, Ralf Biedert, Noah M. Johnson, Joseph P. Near, Daniele Perito, Tomas Ros, Adam Barth, Stephen McCamant and Joel Weinberger and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Proceedings of the VLDB Endowment and ACM SIGPLAN Notices.

In The Last Decade

Co-authorship network of co-authors of Dawn Song i

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Fields of papers citing papers by Dawn Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn Song. 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 Dawn Song. The network helps show where Dawn Song may publish in the future.

Countries citing papers authored by Dawn Song

Since Specialization

Citations

This map shows the geographic impact of Dawn Song'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 Dawn Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Song more than expected).

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.

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