Guangda Xiang
About
In The Last Decade
Guangda Xiang
42 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Guangda Xiang China | 19 | 432 | 369 | 221 | 132 | 131 | 46 | 1.1k | ||
| Hiroyuki Mori United States | 15 | 619 1.4× | 610 1.7× | 407 1.8× | 144 1.1× | 239 1.8× | 23 | 1.6k | ||
| Diti Chatterjee Bhowmick United States | 10 | 320 0.7× | 635 1.7× | 403 1.8× | 77 0.6× | 176 1.3× | 18 | 1.0k | ||
| Cheol Son Japan | 16 | 261 0.6× | 447 1.2× | 204 0.9× | 121 0.9× | 150 1.1× | 36 | 892 | ||
| Ivet Elias Spain | 12 | 312 0.7× | 492 1.3× | 352 1.6× | 77 0.6× | 94 0.7× | 16 | 854 | ||
| Niclas Franck Sweden | 12 | 405 0.9× | 397 1.1× | 439 2.0× | 75 0.6× | 118 0.9× | 16 | 1.0k | ||
| Yuichi Akasaki Japan | 16 | 683 1.6× | 465 1.3× | 310 1.4× | 80 0.6× | 193 1.5× | 42 | 1.4k | ||
| Beibei Zhu United States | 10 | 275 0.6× | 488 1.3× | 515 2.3× | 95 0.7× | 126 1.0× | 17 | 1.1k | ||
| Victoria Rotter Sopasakis Sweden | 14 | 392 0.9× | 435 1.2× | 491 2.2× | 112 0.8× | 104 0.8× | 25 | 1.0k | ||
| Carole Hénique France | 17 | 355 0.8× | 187 0.5× | 205 0.9× | 63 0.5× | 138 1.1× | 24 | 1.1k | ||
| Tomasz Wietecha United States | 18 | 389 0.9× | 207 0.6× | 166 0.8× | 156 1.2× | 265 2.0× | 33 | 1.3k |
Countries citing papers authored by Guangda Xiang
This map shows the geographic impact of Guangda Xiang'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 Guangda Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangda Xiang more than expected).
Fields of papers citing papers by Guangda Xiang
This network shows the impact of papers produced by Guangda Xiang. 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 Guangda Xiang. The network helps show where Guangda Xiang may publish in the future.
Co-authorship network of co-authors of Guangda Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Guangda Xiang. A scholar is included among the top collaborators of Guangda Xiang 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 Guangda Xiang. Guangda Xiang 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.