Ailing Zhao
About
In The Last Decade
Ailing Zhao
10 papers receiving 347 citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ailing Zhao China | 6 | 187 | 76 | 55 | 40 | 34 | 11 | 356 | ||
| Rajesh P. Shastry India | 12 | 189 1.0× | 68 0.9× | 48 0.9× | 53 1.3× | 52 1.5× | 43 | 386 | ||
| Katarzyna Jermakow Poland | 8 | 236 1.3× | 70 0.9× | 43 0.8× | 31 0.8× | 14 0.4× | 16 | 416 | ||
| Liana Bruggemann United States | 3 | 208 1.1× | 48 0.6× | 66 1.2× | 20 0.5× | 50 1.5× | 4 | 480 | ||
| Shiqi Lin China | 5 | 215 1.1× | 85 1.1× | 61 1.1× | 19 0.5× | 22 0.6× | 7 | 371 | ||
| Gedif Meseret Abebe Ethiopia | 3 | 149 0.8× | 58 0.8× | 36 0.7× | 19 0.5× | 27 0.8× | 6 | 282 | ||
| Yong-Guy Kim South Korea | 5 | 171 0.9× | 79 1.0× | 42 0.8× | 29 0.7× | 88 2.6× | 7 | 327 | ||
| Mads Frederik Hansen Denmark | 11 | 289 1.5× | 62 0.8× | 64 1.2× | 40 1.0× | 18 0.5× | 20 | 584 | ||
| Maria del Mar Cendra Spain | 11 | 213 1.1× | 34 0.4× | 40 0.7× | 25 0.6× | 51 1.5× | 20 | 419 | ||
| Garima Sharma India | 6 | 349 1.9× | 81 1.1× | 58 1.1× | 46 1.1× | 41 1.2× | 6 | 585 | ||
| Edyta Mazurkiewicz Poland | 5 | 211 1.1× | 48 0.6× | 37 0.7× | 26 0.7× | 14 0.4× | 7 | 347 |
Countries citing papers authored by Ailing Zhao
This map shows the geographic impact of Ailing Zhao'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 Ailing Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailing Zhao more than expected).
Fields of papers citing papers by Ailing Zhao
This network shows the impact of papers produced by Ailing Zhao. 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 Ailing Zhao. The network helps show where Ailing Zhao may publish in the future.
Co-authorship network of co-authors of Ailing Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Ailing Zhao. A scholar is included among the top collaborators of Ailing Zhao 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 Ailing Zhao. Ailing Zhao 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.