Yiyu Yao
About
In The Last Decade
Yiyu Yao
322 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Computational Theory and Mathematics 14.2k
- Artificial Intelligence 8.1k
- Information Systems 6.4k
- Management Science and Operations Research 5.5k
- Signal Processing 2.0k
Countries citing papers authored by Yiyu Yao
This map shows the geographic impact of Yiyu Yao'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 Yiyu Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiyu Yao more than expected).
Fields of papers citing papers by Yiyu Yao
This network shows the impact of papers produced by Yiyu Yao. 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 Yiyu Yao. The network helps show where Yiyu Yao may publish in the future.
Co-authorship network of co-authors of Yiyu Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Yiyu Yao. A scholar is included among the top collaborators of Yiyu Yao 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 Yiyu Yao. Yiyu Yao 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 | 2 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 75 | |
| 12 | 16 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 29 | |
| 18 | Data mining support systems | 1 |
| 19 | Propagation of preference relations in qualitative inference networks | 2 |
| 20 | A decision-theoretic roguth set model | 3 |
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.