Shiyu Tang
About
In The Last Decade
Shiyu Tang
16 papers receiving 319 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 125
- Artificial Intelligence 120
- Control and Systems Engineering 39
- Mechanical Engineering 30
- Molecular Biology 24
Countries citing papers authored by Shiyu Tang
This map shows the geographic impact of Shiyu Tang'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 Shiyu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiyu Tang more than expected).
Fields of papers citing papers by Shiyu Tang
This network shows the impact of papers produced by Shiyu Tang. 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 Shiyu Tang. The network helps show where Shiyu Tang may publish in the future.
Co-authorship network of co-authors of Shiyu Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Shiyu Tang. A scholar is included among the top collaborators of Shiyu Tang 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 Shiyu Tang. Shiyu Tang 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 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 17 | |
| 13 | 17 | |
| 14 | 40 | |
| 15 | 123 | |
| 16 | 64 | |
| 17 | 11 | |
| 18 | 6 |
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.