Kaikai Song
About
In The Last Decade
Kaikai Song
200 papers receiving 3.4k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kaikai Song China | 30 | 2.7k | 1.6k | 769 | 561 | 401 | 210 | 3.5k | ||
| Pan Gong China | 33 | 2.7k 1.0× | 1.3k 0.8× | 595 0.8× | 746 1.3× | 300 0.7× | 142 | 3.2k | ||
| Ki Buem Kim South Korea | 33 | 3.3k 1.2× | 2.1k 1.3× | 501 0.7× | 967 1.7× | 383 1.0× | 169 | 4.1k | ||
| Yongjiang Huang China | 40 | 4.4k 1.6× | 2.0k 1.3× | 1.1k 1.4× | 976 1.7× | 552 1.4× | 232 | 5.1k | ||
| Éric Fleury South Korea | 35 | 3.1k 1.2× | 2.2k 1.4× | 690 0.9× | 468 0.8× | 368 0.9× | 174 | 3.9k | ||
| Jiang Ma China | 28 | 1.8k 0.7× | 866 0.5× | 461 0.6× | 347 0.6× | 240 0.6× | 151 | 2.5k | ||
| Shujie Pang China | 37 | 4.3k 1.6× | 2.1k 1.3× | 926 1.2× | 803 1.4× | 836 2.1× | 174 | 4.9k | ||
| Yang Shao China | 34 | 2.6k 1.0× | 1.7k 1.0× | 439 0.6× | 1.1k 2.0× | 613 1.5× | 148 | 4.0k | ||
| Dongdong Zhao China | 32 | 1.7k 0.6× | 1.6k 1.0× | 349 0.5× | 685 1.2× | 474 1.2× | 131 | 3.2k | ||
| Sundeep Mukherjee United States | 35 | 2.9k 1.1× | 1.3k 0.8× | 358 0.5× | 1.3k 2.4× | 184 0.5× | 133 | 3.5k | ||
| Wen Chen United States | 32 | 2.7k 1.0× | 1.0k 0.6× | 370 0.5× | 728 1.3× | 231 0.6× | 108 | 3.6k |
Countries citing papers authored by Kaikai Song
This map shows the geographic impact of Kaikai 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 Kaikai Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaikai Song more than expected).
Fields of papers citing papers by Kaikai Song
This network shows the impact of papers produced by Kaikai 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 Kaikai Song. The network helps show where Kaikai Song may publish in the future.
Co-authorship network of co-authors of Kaikai Song
This figure shows the co-authorship network connecting the top 25 collaborators of Kaikai Song. A scholar is included among the top collaborators of Kaikai 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 Kaikai Song. Kaikai 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.