Shui‐Kai Chang
About
In The Last Decade
Shui‐Kai Chang
41 papers receiving 506 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Shui‐Kai Chang Taiwan | 14 | 345 | 224 | 201 | 84 | 64 | 43 | 526 | ||
| Tonya van der Velde Australia | 11 | 249 0.7× | 164 0.7× | 149 0.7× | 112 1.3× | 20 0.3× | 20 | 566 | ||
| Melissa R. Wuellner United States | 13 | 172 0.5× | 157 0.7× | 251 1.2× | 131 1.6× | 18 0.3× | 55 | 475 | ||
| C. Garaway United Kingdom | 13 | 173 0.5× | 182 0.8× | 160 0.8× | 144 1.7× | 12 0.2× | 31 | 417 | ||
| Heather Moore United Kingdom | 11 | 241 0.7× | 146 0.7× | 31 0.2× | 72 0.9× | 52 0.8× | 29 | 430 | ||
| Ju‐Duk Yoon South Korea | 11 | 65 0.2× | 203 0.9× | 267 1.3× | 109 1.3× | 29 0.5× | 64 | 361 | ||
| Paulo Fonseca Portugal | 16 | 544 1.6× | 250 1.1× | 326 1.6× | 303 3.6× | 49 0.8× | 34 | 741 | ||
| Eucario Gasca‐Leyva Mexico | 16 | 279 0.8× | 170 0.8× | 138 0.7× | 581 6.9× | 16 0.3× | 32 | 780 | ||
| P. Murugesan India | 10 | 131 0.4× | 170 0.8× | 37 0.2× | 78 0.9× | 41 0.6× | 77 | 358 | ||
| Luca Bolognini Italy | 14 | 302 0.9× | 228 1.0× | 77 0.4× | 75 0.9× | 50 0.8× | 35 | 459 | ||
| Dimitrios Damalas Greece | 19 | 792 2.3× | 405 1.8× | 360 1.8× | 187 2.2× | 78 1.2× | 42 | 993 |
Countries citing papers authored by Shui‐Kai Chang
This map shows the geographic impact of Shui‐Kai Chang'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 Shui‐Kai Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shui‐Kai Chang more than expected).
Fields of papers citing papers by Shui‐Kai Chang
This network shows the impact of papers produced by Shui‐Kai Chang. 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 Shui‐Kai Chang. The network helps show where Shui‐Kai Chang may publish in the future.
Co-authorship network of co-authors of Shui‐Kai Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Shui‐Kai Chang. A scholar is included among the top collaborators of Shui‐Kai Chang 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 Shui‐Kai Chang. Shui‐Kai Chang 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.