Yi-Dong Shen
About
In The Last Decade
Yi-Dong Shen
82 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 959
- Information Systems 453
- Computational Theory and Mathematics 283
- Signal Processing 250
Countries citing papers authored by Yi-Dong Shen
This map shows the geographic impact of Yi-Dong Shen'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 Yi-Dong Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Dong Shen more than expected).
Fields of papers citing papers by Yi-Dong Shen
This network shows the impact of papers produced by Yi-Dong Shen. 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 Yi-Dong Shen. The network helps show where Yi-Dong Shen may publish in the future.
Co-authorship network of co-authors of Yi-Dong Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Dong Shen. A scholar is included among the top collaborators of Yi-Dong Shen 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 Yi-Dong Shen. Yi-Dong Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 28 | |
| 5 | 51 | |
| 6 | 13 | |
| 7 | 144 | |
| 8 | Dual-Path Convolutional Image-Text Embedding. | 30 |
| 9 | Diversifying convex transductive experimental design for active learning | 10 |
| 10 | Recovery of corrupted multiple kernels for clustering | 30 |
| 11 | 0 | |
| 12 | Towards robust co-clustering | 16 |
| 13 | 6 | |
| 14 | 2 | |
| 15 | A generalized gelfond-lifschitz transformation for logic programs with abstract constraints | 9 |
| 16 | Partitioning ABoxes Based on Converting DL to Plain Datalog. | 3 |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 2 |
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.