Shuyuan Jin
About
In The Last Decade
Shuyuan Jin
48 papers receiving 569 citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 304
- Artificial Intelligence 283
- Signal Processing 155
- Computer Vision and Pattern Recognition 143
- Information Systems 130
Countries citing papers authored by Shuyuan Jin
This map shows the geographic impact of Shuyuan Jin'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 Shuyuan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuyuan Jin more than expected).
Fields of papers citing papers by Shuyuan Jin
This network shows the impact of papers produced by Shuyuan Jin. 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 Shuyuan Jin. The network helps show where Shuyuan Jin may publish in the future.
Co-authorship network of co-authors of Shuyuan Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Shuyuan Jin. A scholar is included among the top collaborators of Shuyuan Jin 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 Shuyuan Jin. Shuyuan Jin 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 10 | |
| 9 | 58 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | Privacy-aware OrLa Based Access Control Model in the Cloud. | 1 |
| 13 | 4 | |
| 14 | 5 | |
| 15 | Predicting Network Security Situation Based on a Combination Model of Multiple Neural Networks. | 1 |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 51 |
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.