Huai‐Dong Song
About
In The Last Decade
Huai‐Dong Song
144 papers receiving 3.1k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Huai‐Dong Song China | 28 | 1.7k | 646 | 627 | 379 | 342 | 146 | 3.2k | ||
| Toshimi Michigami Japan | 41 | 1.8k 1.0× | 854 1.3× | 783 1.2× | 235 0.6× | 259 0.8× | 152 | 4.6k | ||
| Elizabeth Smith United States | 23 | 847 0.5× | 721 1.1× | 863 1.4× | 702 1.9× | 291 0.9× | 42 | 3.2k | ||
| Antonella Farsetti Italy | 38 | 2.1k 1.2× | 567 0.9× | 933 1.5× | 652 1.7× | 103 0.3× | 99 | 4.1k | ||
| Kenshi Hayashi Japan | 36 | 2.1k 1.3× | 470 0.7× | 303 0.5× | 649 1.7× | 115 0.3× | 244 | 5.4k | ||
| Sharon J. Elliot United States | 36 | 1.2k 0.7× | 584 0.9× | 822 1.3× | 381 1.0× | 121 0.4× | 87 | 3.9k | ||
| Han‐Wook Yoo South Korea | 33 | 1.8k 1.1× | 971 1.5× | 560 0.9× | 103 0.3× | 173 0.5× | 300 | 4.0k | ||
| Stavroula Kousteni United States | 36 | 3.5k 2.1× | 1.5k 2.3× | 782 1.2× | 546 1.4× | 517 1.5× | 62 | 6.6k | ||
| Chung-Ming Hsieh United States | 22 | 2.2k 1.3× | 339 0.5× | 219 0.3× | 344 0.9× | 151 0.4× | 29 | 3.8k | ||
| Jan‐Ingvar Jönsson Sweden | 27 | 1.5k 0.9× | 414 0.6× | 196 0.3× | 352 0.9× | 476 1.4× | 65 | 3.2k | ||
| Yong Zhao China | 35 | 1.3k 0.8× | 458 0.7× | 209 0.3× | 334 0.9× | 127 0.4× | 107 | 3.6k |
Countries citing papers authored by Huai‐Dong Song
This map shows the geographic impact of Huai‐Dong Song'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 Huai‐Dong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huai‐Dong Song more than expected).
Fields of papers citing papers by Huai‐Dong Song
This network shows the impact of papers produced by Huai‐Dong Song. 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 Huai‐Dong Song. The network helps show where Huai‐Dong Song may publish in the future.
Co-authorship network of co-authors of Huai‐Dong Song
This figure shows the co-authorship network connecting the top 25 collaborators of Huai‐Dong Song. A scholar is included among the top collaborators of Huai‐Dong Song 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 Huai‐Dong Song. Huai‐Dong Song 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.