Sheng Tu
About
In The Last Decade
Sheng Tu
42 papers receiving 2.1k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Sheng Tu China | 20 | 474 | 436 | 371 | 296 | 277 | 45 | 2.1k | ||
| Wenhua Liu China | 32 | 410 0.9× | 385 0.9× | 512 1.4× | 593 2.0× | 186 0.7× | 146 | 4.1k | ||
| Bin Qin China | 19 | 216 0.5× | 446 1.0× | 318 0.9× | 123 0.4× | 213 0.8× | 79 | 2.3k | ||
| Rita Christopher India | 28 | 157 0.3× | 699 1.6× | 435 1.2× | 247 0.8× | 179 0.6× | 181 | 2.9k | ||
| San‐Yuan Huang Taiwan | 27 | 298 0.6× | 266 0.6× | 116 0.3× | 259 0.9× | 206 0.7× | 125 | 2.4k | ||
| Sharon Lynch United States | 35 | 170 0.4× | 329 0.8× | 574 1.5× | 133 0.4× | 257 0.9× | 118 | 3.3k | ||
| Sanjib Sinha India | 32 | 184 0.4× | 554 1.3× | 546 1.5× | 337 1.1× | 230 0.8× | 252 | 3.8k | ||
| Olivier Blin France | 21 | 140 0.3× | 290 0.7× | 696 1.9× | 196 0.7× | 89 0.3× | 88 | 2.4k | ||
| Sang‐Hyuk Lee South Korea | 29 | 555 1.2× | 636 1.5× | 197 0.5× | 171 0.6× | 74 0.3× | 222 | 3.4k | ||
| Fuquan Zhang China | 31 | 247 0.5× | 1.4k 3.2× | 135 0.4× | 216 0.7× | 118 0.4× | 212 | 3.6k | ||
| William Whitehouse United Kingdom | 30 | 194 0.4× | 549 1.3× | 526 1.4× | 232 0.8× | 65 0.2× | 135 | 3.1k |
Countries citing papers authored by Sheng Tu
This map shows the geographic impact of Sheng Tu'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 Sheng Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Tu more than expected).
Fields of papers citing papers by Sheng Tu
This network shows the impact of papers produced by Sheng Tu. 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 Sheng Tu. The network helps show where Sheng Tu may publish in the future.
Co-authorship network of co-authors of Sheng Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Tu. A scholar is included among the top collaborators of Sheng Tu 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 Sheng Tu. Sheng Tu 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.