Sa-Kwang Song
About
In The Last Decade
Sa-Kwang Song
36 papers receiving 390 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Sa-Kwang Song South Korea | 11 | 114 | 101 | 92 | 84 | 64 | 43 | 419 | ||
| Weijing Song China | 12 | 99 0.9× | 137 1.4× | 116 1.3× | 90 1.1× | 31 0.5× | 33 | 588 | ||
| Deepak Kumar India | 11 | 52 0.5× | 75 0.7× | 87 0.9× | 43 0.5× | 108 1.7× | 51 | 456 | ||
| Nan Zhu China | 11 | 28 0.2× | 47 0.5× | 101 1.1× | 101 1.2× | 50 0.8× | 37 | 474 | ||
| Marcin Andrychowicz United States | 6 | 86 0.8× | 295 2.9× | 74 0.8× | 76 0.9× | 26 0.4× | 8 | 540 | ||
| Wei Cui China | 14 | 88 0.8× | 83 0.8× | 51 0.6× | 178 2.1× | 16 0.3× | 51 | 487 | ||
| Shreya Agrawal India | 7 | 155 1.4× | 57 0.6× | 127 1.4× | 35 0.4× | 17 0.3× | 14 | 331 | ||
| Rita Tse Macao | 13 | 41 0.4× | 108 1.1× | 35 0.4× | 72 0.9× | 18 0.3× | 59 | 569 | ||
| Fan Yu China | 12 | 53 0.5× | 175 1.7× | 64 0.7× | 87 1.0× | 10 0.2× | 48 | 431 | ||
| Sibghat Ullah Bazai Pakistan | 10 | 30 0.3× | 88 0.9× | 38 0.4× | 68 0.8× | 15 0.2× | 42 | 442 | ||
| Kunlun Qi China | 14 | 149 1.3× | 132 1.3× | 91 1.0× | 185 2.2× | 13 0.2× | 35 | 600 |
Countries citing papers authored by Sa-Kwang Song
This map shows the geographic impact of Sa-Kwang 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 Sa-Kwang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sa-Kwang Song more than expected).
Fields of papers citing papers by Sa-Kwang Song
This network shows the impact of papers produced by Sa-Kwang 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 Sa-Kwang Song. The network helps show where Sa-Kwang Song may publish in the future.
Co-authorship network of co-authors of Sa-Kwang Song
This figure shows the co-authorship network connecting the top 25 collaborators of Sa-Kwang Song. A scholar is included among the top collaborators of Sa-Kwang 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 Sa-Kwang Song. Sa-Kwang 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.