Jing Yu
About
In The Last Decade
Jing Yu
38 papers receiving 672 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 499
- Artificial Intelligence 443
- Information Systems 44
- Computer Networks and Communications 27
- Signal Processing 19
Countries citing papers authored by Jing Yu
This map shows the geographic impact of Jing Yu'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 Jing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yu more than expected).
Fields of papers citing papers by Jing Yu
This network shows the impact of papers produced by Jing Yu. 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 Jing Yu. The network helps show where Jing Yu may publish in the future.
Co-authorship network of co-authors of Jing Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yu. A scholar is included among the top collaborators of Jing Yu 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 Jing Yu. Jing Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 11 | |
| 17 | 0 | |
| 18 | 26 | |
| 19 | 76 | |
| 20 | Multi-modal Learning with Prior Visual Relation Reasoning. | 8 |
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.