Yuang Liu
About
In The Last Decade
Yuang Liu
7 papers receiving 347 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 241
- Artificial Intelligence 231
- Radiology, Nuclear Medicine and Imaging 51
- Information Systems 16
- Media Technology 16
Countries citing papers authored by Yuang Liu
This map shows the geographic impact of Yuang Liu'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 Yuang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuang Liu more than expected).
Fields of papers citing papers by Yuang Liu
This network shows the impact of papers produced by Yuang Liu. 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 Yuang Liu. The network helps show where Yuang Liu may publish in the future.
Co-authorship network of co-authors of Yuang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuang Liu. A scholar is included among the top collaborators of Yuang Liu 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 Yuang Liu. Yuang Liu 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 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 49 | |
| 8 | Source-Free Domain Adaptation for Semantic Segmentation breakdown → | 173 |
| 9 | 127 |
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.