Dawn Song
About
In The Last Decade
Dawn Song
250 papers receiving 21.3k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Artificial Intelligence 14.4k
- Computer Networks and Communications 9.9k
- Information Systems 8.0k
- Signal Processing 7.2k
- Software 2.2k
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 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 30 | |
| 8 | The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization breakdown → | 503 |
| 9 | Epione: Lightweight Contact Tracing with Strong Privacy | 3 |
| 10 | Robust anomaly detection and backdoor attack detection via differential privacy | 11 |
| 11 | Spatially transformed adversarial examples | 22 |
| 12 | Parametrized Hierarchical Procedures for Neural Programming | 7 |
| 13 | Differentiable Neural Network Architecture Search | 38 |
| 14 | Can you fool AI with adversarial examples on a visual Turing test | 13 |
| 15 | Delving into adversarial attacks on deep policies | 8 |
| 16 | Recognizing functions in binaries with neural networks | 120 |
| 17 | Practical Control Flow Integrity and Randomization for Binary Executables breakdown → | 321 |
| 18 | Cloud terminal: secure access to sensitive applications from untrusted systems | 23 |
| 19 | Insights from the inside: a view of botnet management from infiltration | 44 |
| 20 | Document Structure Integrity: A Robust Basis for Cross-site Scripting Defense. | 112 |
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.