Tuoqi Wu
About
In The Last Decade
Tuoqi Wu
20 papers receiving 1.4k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tuoqi Wu United States | 15 | 965 | 449 | 403 | 108 | 93 | 22 | 1.4k | ||
| Milan Reiniš Czechia | 18 | 516 0.5× | 329 0.7× | 438 1.1× | 68 0.6× | 101 1.1× | 66 | 1.1k | ||
| Viv Lindo United Kingdom | 16 | 641 0.7× | 218 0.5× | 485 1.2× | 35 0.3× | 186 2.0× | 32 | 1.5k | ||
| Chance John Luckey United States | 21 | 923 1.0× | 260 0.6× | 892 2.2× | 68 0.6× | 126 1.4× | 42 | 1.8k | ||
| Alexandre M. Carmo Portugal | 25 | 626 0.6× | 224 0.5× | 765 1.9× | 64 0.6× | 74 0.8× | 46 | 1.5k | ||
| Yutaka Arimura Japan | 19 | 535 0.6× | 158 0.4× | 503 1.2× | 54 0.5× | 97 1.0× | 34 | 1.0k | ||
| Mary A. Valentine United States | 19 | 810 0.8× | 248 0.6× | 518 1.3× | 90 0.8× | 146 1.6× | 34 | 1.6k | ||
| Danya Liu United States | 16 | 545 0.6× | 210 0.5× | 292 0.7× | 77 0.7× | 95 1.0× | 35 | 949 | ||
| Gundo Diedrich United States | 15 | 525 0.5× | 305 0.7× | 530 1.3× | 32 0.3× | 92 1.0× | 28 | 1.1k | ||
| Kartoosh Heydari United States | 18 | 371 0.4× | 139 0.3× | 643 1.6× | 89 0.8× | 147 1.6× | 25 | 1.2k | ||
| Masashi Minami Japan | 11 | 1.0k 1.1× | 595 1.3× | 505 1.3× | 169 1.6× | 149 1.6× | 18 | 1.9k |
Countries citing papers authored by Tuoqi Wu
This map shows the geographic impact of Tuoqi Wu'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 Tuoqi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuoqi Wu more than expected).
Fields of papers citing papers by Tuoqi Wu
This network shows the impact of papers produced by Tuoqi Wu. 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 Tuoqi Wu. The network helps show where Tuoqi Wu may publish in the future.
Co-authorship network of co-authors of Tuoqi Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Tuoqi Wu. A scholar is included among the top collaborators of Tuoqi Wu 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 Tuoqi Wu. Tuoqi Wu 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.