Haixiang Song
About
In The Last Decade
Haixiang Song
42 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Haixiang Song China | 17 | 667 | 534 | 454 | 384 | 358 | 42 | 1.6k | ||
| Ligang Gai China | 27 | 833 1.2× | 733 1.4× | 558 1.2× | 642 1.7× | 446 1.2× | 94 | 2.1k | ||
| Vadahanambi Sridhar South Korea | 26 | 725 1.1× | 811 1.5× | 672 1.5× | 559 1.5× | 578 1.6× | 56 | 2.0k | ||
| Hye‐Min Lee South Korea | 26 | 813 1.2× | 639 1.2× | 364 0.8× | 545 1.4× | 444 1.2× | 94 | 1.9k | ||
| Cindy X. Zhao Canada | 15 | 513 0.8× | 464 0.9× | 297 0.7× | 178 0.5× | 376 1.1× | 22 | 1.3k | ||
| Yue Jiao China | 27 | 553 0.8× | 418 0.8× | 1.0k 2.2× | 908 2.4× | 596 1.7× | 63 | 2.6k | ||
| Liangliang Xu China | 23 | 271 0.4× | 510 1.0× | 522 1.1× | 184 0.5× | 122 0.3× | 52 | 1.4k | ||
| Nyan‐Hwa Tai Taiwan | 20 | 527 0.8× | 768 1.4× | 802 1.8× | 323 0.8× | 280 0.8× | 45 | 2.0k | ||
| Yubing Qiu China | 30 | 793 1.2× | 1.1k 2.1× | 315 0.7× | 519 1.4× | 413 1.2× | 85 | 2.2k | ||
| Velram Balaji Mohan New Zealand | 17 | 582 0.9× | 1.0k 1.9× | 890 2.0× | 415 1.1× | 487 1.4× | 32 | 2.0k | ||
| Jian Cui China | 26 | 307 0.5× | 793 1.5× | 649 1.4× | 501 1.3× | 465 1.3× | 64 | 2.0k |
Countries citing papers authored by Haixiang Song
This map shows the geographic impact of Haixiang 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 Haixiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haixiang Song more than expected).
Fields of papers citing papers by Haixiang Song
This network shows the impact of papers produced by Haixiang 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 Haixiang Song. The network helps show where Haixiang Song may publish in the future.
Co-authorship network of co-authors of Haixiang Song
This figure shows the co-authorship network connecting the top 25 collaborators of Haixiang Song. A scholar is included among the top collaborators of Haixiang 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 Haixiang Song. Haixiang 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.