Xingbin Ai
About
In The Last Decade
Xingbin Ai
68 papers receiving 3.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Xingbin Ai United States | 29 | 1.9k | 1.0k | 554 | 381 | 374 | 69 | 3.2k | ||
| Mathias Mericskay France | 32 | 2.6k 1.4× | 774 0.8× | 233 0.4× | 319 0.8× | 390 1.0× | 65 | 4.3k | ||
| Vikram Prasad United States | 29 | 2.6k 1.4× | 430 0.4× | 240 0.4× | 365 1.0× | 580 1.6× | 66 | 4.0k | ||
| Eek‐hoon Jho South Korea | 38 | 4.0k 2.1× | 1.1k 1.1× | 243 0.4× | 581 1.5× | 378 1.0× | 98 | 5.4k | ||
| Warren E. Zimmer United States | 29 | 1.9k 1.0× | 709 0.7× | 204 0.4× | 606 1.6× | 284 0.8× | 61 | 2.7k | ||
| Dale D. Tang United States | 36 | 1.5k 0.8× | 1.3k 1.2× | 409 0.7× | 149 0.4× | 137 0.4× | 72 | 3.1k | ||
| Marie Dziadek Australia | 40 | 2.6k 1.3× | 900 0.9× | 408 0.7× | 710 1.9× | 392 1.0× | 85 | 5.1k | ||
| Keith A. Choate United States | 24 | 2.3k 1.2× | 687 0.7× | 399 0.7× | 707 1.9× | 211 0.6× | 83 | 3.5k | ||
| Takahiro Nobukuni Japan | 17 | 2.2k 1.2× | 551 0.5× | 173 0.3× | 237 0.6× | 258 0.7× | 26 | 3.1k | ||
| Joakim Klar Sweden | 27 | 2.1k 1.1× | 452 0.4× | 161 0.3× | 589 1.5× | 218 0.6× | 70 | 3.0k | ||
| Jennifer Robertson Canada | 21 | 1.4k 0.7× | 281 0.3× | 536 1.0× | 308 0.8× | 295 0.8× | 32 | 2.9k |
Countries citing papers authored by Xingbin Ai
This map shows the geographic impact of Xingbin Ai'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 Xingbin Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingbin Ai more than expected).
Fields of papers citing papers by Xingbin Ai
This network shows the impact of papers produced by Xingbin Ai. 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 Xingbin Ai. The network helps show where Xingbin Ai may publish in the future.
Co-authorship network of co-authors of Xingbin Ai
This figure shows the co-authorship network connecting the top 25 collaborators of Xingbin Ai. A scholar is included among the top collaborators of Xingbin Ai 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 Xingbin Ai. Xingbin Ai 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.