Shawn Shan
About
In The Last Decade
Shawn Shan
12 papers receiving 801 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 676
- Signal Processing 215
- Computer Vision and Pattern Recognition 170
- Computer Networks and Communications 126
- Sociology and Political Science 71
Countries citing papers authored by Shawn Shan
This map shows the geographic impact of Shawn Shan'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 Shawn Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn Shan more than expected).
Fields of papers citing papers by Shawn Shan
This network shows the impact of papers produced by Shawn Shan. 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 Shawn Shan. The network helps show where Shawn Shan may publish in the future.
Co-authorship network of co-authors of Shawn Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Shan. A scholar is included among the top collaborators of Shawn Shan 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 Shawn Shan. Shawn Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 19 | |
| 3 | 5 | |
| 4 | Deep Entity Classification: Abusive Account Detection for Online Social Networks | 10 |
| 5 | 3 | |
| 6 | 19 | |
| 7 | Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models | 9 |
| 8 | Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks. | 4 |
| 9 | Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks breakdown → | 680 |
| 10 | 36 | |
| 11 | 27 | |
| 12 | 1 |
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.