Xiaoda Yang
About
In The Last Decade
Xiaoda Yang
86 papers receiving 2.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Xiaoda Yang China | 30 | 989 | 742 | 374 | 309 | 271 | 89 | 2.6k | ||
| Javier Seravalli United States | 36 | 1.9k 1.9× | 615 0.8× | 343 0.9× | 524 1.7× | 230 0.8× | 76 | 3.8k | ||
| Shizhong Chen China | 33 | 971 1.0× | 207 0.3× | 243 0.6× | 154 0.5× | 604 2.2× | 183 | 4.0k | ||
| Gregory I. Giles New Zealand | 28 | 1.5k 1.6× | 232 0.3× | 361 1.0× | 496 1.6× | 322 1.2× | 53 | 3.8k | ||
| Se Chan Kang South Korea | 32 | 1.2k 1.2× | 345 0.5× | 264 0.7× | 172 0.6× | 427 1.6× | 198 | 3.4k | ||
| Stefan I. Liochev United States | 38 | 2.2k 2.2× | 737 1.0× | 362 1.0× | 577 1.9× | 190 0.7× | 72 | 4.8k | ||
| Lingyun Li China | 35 | 1.0k 1.0× | 277 0.4× | 483 1.3× | 63 0.2× | 309 1.1× | 149 | 3.9k | ||
| Aimin Liu United States | 35 | 1.8k 1.8× | 1.4k 1.9× | 492 1.3× | 106 0.3× | 319 1.2× | 146 | 3.5k | ||
| Richard A. Rothery Canada | 34 | 1.5k 1.5× | 787 1.1× | 410 1.1× | 252 0.8× | 190 0.7× | 70 | 3.2k | ||
| Qingshan Li China | 30 | 963 1.0× | 303 0.4× | 583 1.6× | 250 0.8× | 539 2.0× | 193 | 3.1k | ||
| Takeshi Nishino Japan | 47 | 4.0k 4.1× | 397 0.5× | 270 0.7× | 361 1.2× | 221 0.8× | 135 | 6.9k |
Countries citing papers authored by Xiaoda Yang
This map shows the geographic impact of Xiaoda Yang'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 Xiaoda Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoda Yang more than expected).
Fields of papers citing papers by Xiaoda Yang
This network shows the impact of papers produced by Xiaoda Yang. 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 Xiaoda Yang. The network helps show where Xiaoda Yang may publish in the future.
Co-authorship network of co-authors of Xiaoda Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoda Yang. A scholar is included among the top collaborators of Xiaoda Yang 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 Xiaoda Yang. Xiaoda Yang 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.