Yu Duan
About
In The Last Decade
Yu Duan
38 papers receiving 325 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 117
- Information Systems 50
- Molecular Biology 42
- Neurology 40
- Neurology 37
Countries citing papers authored by Yu Duan
This map shows the geographic impact of Yu Duan'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 Yu Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Duan more than expected).
Fields of papers citing papers by Yu Duan
This network shows the impact of papers produced by Yu Duan. 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 Yu Duan. The network helps show where Yu Duan may publish in the future.
Co-authorship network of co-authors of Yu Duan
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Duan. A scholar is included among the top collaborators of Yu Duan 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 Yu Duan. Yu Duan 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 0 |
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.