Dawn Song
- Information Systems top 1%
- Signal Processing top 1%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 2%
- Co-authors
- Mario FrankIvan MartinovićRalf BiedertDavid WagnerGrant HoDerek LeungPratyush MishraDaniele Perito
- Topics
- Advanced Malware Detection Techniques (10 papers)Network Security and Intrusion Detection (4 papers)User Authentication and Security Systems (4 papers)
- Journals
- IEEE Transactions on Information Forensics and SecurityACM SIGPLAN NoticesUSENIX Security Symposium
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Dawn Song
20 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Information Systems 775
- Signal Processing 662
- Computer Networks and Communications 236
- Artificial Intelligence 221
- Human-Computer Interaction 148
Countries citing papers authored by Dawn Song
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).
Fields of papers citing papers by Dawn Song
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.
Co-authorship network of co-authors of Dawn Song
This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Song. A scholar is included among the top collaborators of Dawn Song 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 Dawn Song. Dawn Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 59 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | MIRAGE: Succinct Arguments for Randomized Algorithms with Applications to Universal zk-SNARKs. | 6 |
| 8 | GamePad: A Learning Environment for Theorem Proving | 6 |
| 9 | Towards Specification-Directed Program Repair | 2 |
| 10 | 20 | |
| 11 | 152 | |
| 12 | Clickjacking revisited: a perceptual view of UI security | 21 |
| 13 | On the feasibility of side-channel attacks with brain-computer interfaces | 86 |
| 14 | 8 | |
| 15 | 6 | |
| 16 | Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authenticationbreakdown → | 560 |
| 17 | 49 | |
| 18 | Proceedings of the 2009 ACM workshop on Cloud computing security | 17 |
| 19 | Cross-origin javascript capability leaks: detection, exploitation, and defense | 34 |
| 20 | 1 |
About Dawn Song
Dawn Song is a scholar working on Signal Processing, Software and Information Systems, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (10 papers), Network Security and Intrusion Detection (4 papers) and User Authentication and Security Systems (4 papers). The work is most often cited by research in Signal Processing (662 citations), Information Systems (775 citations) and Human-Computer Interaction (148 citations). Dawn Song has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mario Frank, Ivan Martinović, Ralf Biedert, David Wagner, Grant Ho, Derek Leung, Pratyush Mishra, Daniele Perito, Tomas Ros and Joel Weinberger. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, ACM SIGPLAN Notices and USENIX Security Symposium.
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.