Wun‐She Yap
About
In The Last Decade
Wun‐She Yap
73 papers receiving 803 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 482
- Artificial Intelligence 314
- Information Systems 180
- Signal Processing 180
- Radiology, Nuclear Medicine and Imaging 106
Countries citing papers authored by Wun‐She Yap
This map shows the geographic impact of Wun‐She Yap'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 Wun‐She Yap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wun‐She Yap more than expected).
Fields of papers citing papers by Wun‐She Yap
This network shows the impact of papers produced by Wun‐She Yap. 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 Wun‐She Yap. The network helps show where Wun‐She Yap may publish in the future.
Co-authorship network of co-authors of Wun‐She Yap
This figure shows the co-authorship network connecting the top 25 collaborators of Wun‐She Yap. A scholar is included among the top collaborators of Wun‐She Yap 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 Wun‐She Yap. Wun‐She Yap 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | 13 |
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.