Ching-Kai Chuang
About
In The Last Decade
Ching-Kai Chuang
14 papers receiving 389 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ching-Kai Chuang Taiwan | 12 | 169 | 154 | 128 | 117 | 79 | 14 | 393 | ||
| Jia-Teh Liao Taiwan | 9 | 177 1.0× | 114 0.7× | 114 0.9× | 145 1.2× | 25 0.3× | 11 | 376 | ||
| Fiona M. Pringle United States | 7 | 140 0.8× | 42 0.3× | 93 0.7× | 114 1.0× | 39 0.5× | 9 | 312 | ||
| Mónica De Nova-Ocampo Mexico | 10 | 44 0.3× | 211 1.4× | 230 1.8× | 153 1.3× | 91 1.2× | 19 | 470 | ||
| Kunj B. Pathak United States | 9 | 297 1.8× | 38 0.2× | 84 0.7× | 123 1.1× | 73 0.9× | 9 | 434 | ||
| Zhiyong Li China | 12 | 194 1.1× | 118 0.8× | 151 1.2× | 266 2.3× | 63 0.8× | 29 | 702 | ||
| Vanesa Mongelli France | 11 | 206 1.2× | 127 0.8× | 84 0.7× | 239 2.0× | 178 2.3× | 18 | 514 | ||
| Arabinda Nayak United States | 9 | 132 0.8× | 104 0.7× | 212 1.7× | 266 2.3× | 133 1.7× | 12 | 646 | ||
| Stephanie S. Lehman United States | 10 | 38 0.2× | 87 0.6× | 34 0.3× | 103 0.9× | 112 1.4× | 15 | 396 | ||
| Tin Maršić Saudi Arabia | 11 | 178 1.1× | 95 0.6× | 204 1.6× | 778 6.6× | 85 1.1× | 14 | 917 | ||
| Andrii Slonchak Australia | 13 | 48 0.3× | 362 2.4× | 323 2.5× | 189 1.6× | 128 1.6× | 26 | 593 |
Countries citing papers authored by Ching-Kai Chuang
This map shows the geographic impact of Ching-Kai Chuang'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 Ching-Kai Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Kai Chuang more than expected).
Fields of papers citing papers by Ching-Kai Chuang
This network shows the impact of papers produced by Ching-Kai Chuang. 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 Ching-Kai Chuang. The network helps show where Ching-Kai Chuang may publish in the future.
Co-authorship network of co-authors of Ching-Kai Chuang
This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Kai Chuang. A scholar is included among the top collaborators of Ching-Kai Chuang 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 Ching-Kai Chuang. Ching-Kai Chuang 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.