Dawn Song

177 papers and 11.4k indexed citations i.

About

Dawn Song is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Dawn Song has authored 177 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Artificial Intelligence, 67 papers in Information Systems and 57 papers in Signal Processing. Recurrent topics in Dawn Song’s work include Advanced Malware Detection Techniques (55 papers), Security and Verification in Computing (35 papers) and Adversarial Robustness in Machine Learning (34 papers). Dawn Song is often cited by papers focused on Advanced Malware Detection Techniques (55 papers), Security and Verification in Computing (35 papers) and Adversarial Robustness in Machine Learning (34 papers). Dawn Song collaborates with scholars based in United States, China and Switzerland. Dawn Song's co-authors include Adrian Perrig, James Newsome, Lea Kissner, Reza Curtmola, Giuseppe Ateniese, Randal Burns, Zachary Peterson, David Wagner, J. D. Tygar and Qinbin Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

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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