Tailing Wang
About
In The Last Decade
Tailing Wang
37 papers receiving 307 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tailing Wang China | 9 | 149 | 134 | 79 | 71 | 59 | 43 | 319 | ||
| Robert S. Dixon United States | 6 | 125 0.8× | 236 1.8× | 16 0.2× | 44 0.6× | 142 2.4× | 9 | 356 | ||
| Bill Huang United States | 5 | 176 1.2× | 69 0.5× | 156 2.0× | 24 0.3× | 12 0.2× | 7 | 435 | ||
| Virginia Amesty Spain | 11 | 72 0.5× | 37 0.3× | 23 0.3× | 19 0.3× | 24 0.4× | 34 | 304 | ||
| O. Cogrel France | 10 | 27 0.2× | 116 0.9× | 80 1.0× | 10 0.1× | 10 0.2× | 47 | 233 | ||
| Dejan Rašić Serbia | 9 | 92 0.6× | 17 0.1× | 14 0.2× | 5 0.1× | 17 0.3× | 29 | 206 | ||
| Sheetal Sapra Canada | 12 | 59 0.4× | 447 3.3× | 70 0.9× | 63 1.1× | 26 | 551 | |||
| Harpreet Ahluwalia United Kingdom | 9 | 91 0.6× | 89 0.7× | 54 0.7× | 42 0.7× | 40 | 273 | |||
| Ivan Vrcek United States | 9 | 63 0.4× | 154 1.1× | 65 0.8× | 75 1.3× | 32 | 281 | |||
| Chan Ho Na South Korea | 11 | 27 0.2× | 237 1.8× | 67 0.8× | 43 0.7× | 49 | 361 | |||
| Annemarie Broderick Ireland | 9 | 75 0.5× | 27 0.2× | 105 1.3× | 26 0.4× | 3 0.1× | 21 | 293 |
Countries citing papers authored by Tailing Wang
This map shows the geographic impact of Tailing Wang'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 Tailing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tailing Wang more than expected).
Fields of papers citing papers by Tailing Wang
This network shows the impact of papers produced by Tailing Wang. 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 Tailing Wang. The network helps show where Tailing Wang may publish in the future.
Co-authorship network of co-authors of Tailing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Tailing Wang. A scholar is included among the top collaborators of Tailing Wang 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 Tailing Wang. Tailing Wang 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.