Yida Zhao
About
In The Last Decade
Yida Zhao
4 papers receiving 264 citations
Peers
Comparison fields: 5 of 26
- Computer Vision and Pattern Recognition 252
- Artificial Intelligence 105
- Signal Processing 11
- Information Systems 3
- Language and Linguistics 3
Countries citing papers authored by Yida Zhao
This map shows the geographic impact of Yida Zhao'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 Yida Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yida Zhao more than expected).
Fields of papers citing papers by Yida Zhao
This network shows the impact of papers produced by Yida Zhao. 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 Yida Zhao. The network helps show where Yida Zhao may publish in the future.
Co-authorship network of co-authors of Yida Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Yida Zhao. A scholar is included among the top collaborators of Yida Zhao 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 Yida Zhao. Yida Zhao 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 | 0 | |
| 3 | 24 | |
| 4 | 213 | |
| 5 | RUC_AIM3 at TRECVID 2020: Ad-hoc Video Search & Video to Text Description. | 2 |
| 6 | 27 |
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.