Hwan‐Ching Tai
About
In The Last Decade
Hwan‐Ching Tai
38 papers receiving 2.3k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hwan‐Ching Tai Taiwan | 19 | 1.1k | 1.1k | 573 | 365 | 288 | 41 | 2.3k | ||
| Lee‐Way Jin United States | 23 | 1.4k 1.3× | 1.3k 1.2× | 382 0.7× | 423 1.2× | 172 0.6× | 37 | 2.6k | ||
| Izumi Maezawa United States | 33 | 1.4k 1.3× | 1.5k 1.4× | 572 1.0× | 997 2.7× | 150 0.5× | 82 | 3.5k | ||
| Bin Ji Japan | 27 | 1.1k 1.0× | 783 0.7× | 540 0.9× | 624 1.7× | 89 0.3× | 82 | 2.5k | ||
| Martin Fuhrmann Germany | 33 | 1.2k 1.1× | 1.4k 1.3× | 1.1k 2.0× | 961 2.6× | 349 1.2× | 58 | 4.3k | ||
| Er-Qing Wei China | 30 | 435 0.4× | 911 0.9× | 535 0.9× | 555 1.5× | 270 0.9× | 93 | 2.4k | ||
| Seong Su Kang United States | 30 | 1.1k 1.0× | 1.1k 1.0× | 886 1.5× | 501 1.4× | 195 0.7× | 49 | 2.8k | ||
| Bernadette Allinquant France | 25 | 1.4k 1.3× | 1.6k 1.5× | 882 1.5× | 364 1.0× | 484 1.7× | 74 | 3.3k | ||
| Ann Brinkmalm Sweden | 35 | 2.1k 2.0× | 1.7k 1.6× | 597 1.0× | 445 1.2× | 276 1.0× | 95 | 3.6k | ||
| Andrew F. Teich United States | 22 | 603 0.6× | 642 0.6× | 481 0.8× | 266 0.7× | 197 0.7× | 42 | 1.8k | ||
| Thomas A. Lanz United States | 24 | 811 0.8× | 923 0.9× | 515 0.9× | 261 0.7× | 119 0.4× | 43 | 2.2k |
Countries citing papers authored by Hwan‐Ching Tai
This map shows the geographic impact of Hwan‐Ching Tai'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 Hwan‐Ching Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwan‐Ching Tai more than expected).
Fields of papers citing papers by Hwan‐Ching Tai
This network shows the impact of papers produced by Hwan‐Ching Tai. 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 Hwan‐Ching Tai. The network helps show where Hwan‐Ching Tai may publish in the future.
Co-authorship network of co-authors of Hwan‐Ching Tai
This figure shows the co-authorship network connecting the top 25 collaborators of Hwan‐Ching Tai. A scholar is included among the top collaborators of Hwan‐Ching Tai 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 Hwan‐Ching Tai. Hwan‐Ching Tai 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.