Yuxue Dai
About
In The Last Decade
Yuxue Dai
34 papers receiving 942 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 623
- Biomedical Engineering 389
- Materials Chemistry 350
- Electrical and Electronic Engineering 345
- Electrochemistry 154
Countries citing papers authored by Yuxue Dai
This map shows the geographic impact of Yuxue Dai'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 Yuxue Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxue Dai more than expected).
Fields of papers citing papers by Yuxue Dai
This network shows the impact of papers produced by Yuxue Dai. 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 Yuxue Dai. The network helps show where Yuxue Dai may publish in the future.
Co-authorship network of co-authors of Yuxue Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxue Dai. A scholar is included among the top collaborators of Yuxue Dai 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 Yuxue Dai. Yuxue Dai 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 | 3 | |
| 3 | 33 | |
| 4 | 5 | |
| 5 | 35 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 68 | |
| 12 | 35 | |
| 13 | 10 | |
| 14 | 38 | |
| 15 | 26 | |
| 16 | 28 | |
| 17 | 34 | |
| 18 | 57 | |
| 19 | 7 | |
| 20 | 100 |
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.