Shucheng Cao
About
In The Last Decade
Shucheng Cao
3 papers receiving 201 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 104
- Radiology, Nuclear Medicine and Imaging 100
- Artificial Intelligence 67
- Biomedical Engineering 59
- Neurology 23
Countries citing papers authored by Shucheng Cao
This map shows the geographic impact of Shucheng Cao'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 Shucheng Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shucheng Cao more than expected).
Fields of papers citing papers by Shucheng Cao
This network shows the impact of papers produced by Shucheng Cao. 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 Shucheng Cao. The network helps show where Shucheng Cao may publish in the future.
Co-authorship network of co-authors of Shucheng Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Shucheng Cao. A scholar is included among the top collaborators of Shucheng Cao 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 Shucheng Cao. Shucheng Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 7 | |
| 3 | AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? breakdown → | 178 |
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.