Shiqian Wu
About
In The Last Decade
Shiqian Wu
184 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 2.5k
- Artificial Intelligence 907
- Media Technology 775
- Signal Processing 758
- Control and Systems Engineering 444
Countries citing papers authored by Shiqian Wu
This map shows the geographic impact of Shiqian Wu'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 Shiqian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiqian Wu more than expected).
Fields of papers citing papers by Shiqian Wu
This network shows the impact of papers produced by Shiqian Wu. 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 Shiqian Wu. The network helps show where Shiqian Wu may publish in the future.
Co-authorship network of co-authors of Shiqian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shiqian Wu. A scholar is included among the top collaborators of Shiqian Wu 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 Shiqian Wu. Shiqian Wu 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 | 25 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | A Discrete Joint Model for Entity and Relation Extraction from Clinical Notes. | 1 |
| 18 | Exposure Interpolation Via Fusing Conventional and Deep Learning Methods | 1 |
| 19 | 31 | |
| 20 | 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.