Xiao-Qing Dai
About
In The Last Decade
Xiao-Qing Dai
38 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Xiao-Qing Dai Canada | 21 | 795 | 782 | 491 | 398 | 149 | 42 | 1.5k | ||
| Ercument Dirice United States | 25 | 844 1.1× | 822 1.1× | 488 1.0× | 359 0.9× | 81 0.5× | 45 | 1.6k | ||
| Cristina Alarcón United States | 20 | 763 1.0× | 986 1.3× | 396 0.8× | 549 1.4× | 231 1.6× | 31 | 1.5k | ||
| Pili Zhang United States | 18 | 637 0.8× | 626 0.8× | 335 0.7× | 362 0.9× | 81 0.5× | 22 | 1.5k | ||
| Eric L. Ford United States | 18 | 594 0.7× | 981 1.3× | 368 0.7× | 551 1.4× | 145 1.0× | 20 | 1.9k | ||
| Corentin Cras‐Méneur United States | 22 | 1.1k 1.4× | 1.3k 1.6× | 513 1.0× | 525 1.3× | 206 1.4× | 32 | 2.3k | ||
| Mathieu Armanet France | 20 | 610 0.8× | 1.4k 1.8× | 823 1.7× | 779 2.0× | 120 0.8× | 38 | 1.9k | ||
| Florent Allagnat Switzerland | 26 | 669 0.8× | 918 1.2× | 426 0.9× | 272 0.7× | 435 2.9× | 60 | 1.8k | ||
| Z. Ling Belgium | 17 | 532 0.7× | 1.2k 1.5× | 598 1.2× | 696 1.7× | 103 0.7× | 28 | 1.5k | ||
| Danielle Melloul Israel | 21 | 1.2k 1.5× | 1.4k 1.9× | 1.0k 2.0× | 633 1.6× | 174 1.2× | 37 | 2.2k | ||
| Isabella Artner Sweden | 22 | 1.1k 1.4× | 1.7k 2.2× | 1.1k 2.3× | 700 1.8× | 114 0.8× | 40 | 2.2k |
Countries citing papers authored by Xiao-Qing Dai
This map shows the geographic impact of Xiao-Qing 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 Xiao-Qing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Qing Dai more than expected).
Fields of papers citing papers by Xiao-Qing Dai
This network shows the impact of papers produced by Xiao-Qing 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 Xiao-Qing Dai. The network helps show where Xiao-Qing Dai may publish in the future.
Co-authorship network of co-authors of Xiao-Qing Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Qing Dai. A scholar is included among the top collaborators of Xiao-Qing 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 Xiao-Qing Dai. Xiao-Qing Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.