Ye Liu
About
In The Last Decade
Ye Liu
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 896
- Artificial Intelligence 203
- Computational Theory and Mathematics 190
- Mathematical Physics 84
- Statistical and Nonlinear Physics 84
Countries citing papers authored by Ye Liu
This map shows the geographic impact of Ye 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 Ye Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Liu more than expected).
Fields of papers citing papers by Ye Liu
This network shows the impact of papers produced by Ye 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 Ye Liu. The network helps show where Ye Liu may publish in the future.
Co-authorship network of co-authors of Ye Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ye Liu. A scholar is included among the top collaborators of Ye 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 Ye Liu. Ye 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 | 3 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 78 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | FP-CNNH: 一种基于深度卷积神经网络的快速图像哈希算法 (FP-CNNH: A Fast Image Hashing Algorithm Based on Deep Convolutional Neural Network). | 1 |
| 17 | 25 | |
| 18 | 117 | |
| 19 | 1 | |
| 20 | 62 |
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.