Lixiang Song

39 total papers · 1.1k total citations
31 papers, 853 citations indexed

About

Lixiang Song is a scholar working on Global and Planetary Change, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Lixiang Song has authored 31 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 8 papers in Computational Mechanics. Recurrent topics in Lixiang Song's work include Flood Risk Assessment and Management (14 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Meteorological Phenomena and Simulations (8 papers). Lixiang Song is often cited by papers focused on Flood Risk Assessment and Management (14 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Meteorological Phenomena and Simulations (8 papers). Lixiang Song collaborates with scholars based in China, Croatia and Japan. Lixiang Song's co-authors include Jun Guo, Jianzhong Zhou, Chao Zhou, Qiang Zou, Yi Liu, Qiang Zou, Jianzhong Zhou, Yongchuan Zhang, Hao Wang and Xiaoling Yang and has published in prestigious journals such as Journal of Hydrology, Expert Systems with Applications and Environmental Research.

In The Last Decade

Lixiang Song

27 papers receiving 831 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lixiang Song 459 329 205 168 121 31 853
Kevin Sene 532 1.2× 375 1.1× 138 0.7× 163 1.0× 156 1.3× 36 968
Guillermo Q. Tabios 484 1.1× 350 1.1× 232 1.1× 371 2.2× 118 1.0× 22 1.0k
Fang Yenn Teo 432 0.9× 390 1.2× 345 1.7× 110 0.7× 169 1.4× 62 1.0k
Guangqian Wang 468 1.0× 502 1.5× 129 0.6× 122 0.7× 280 2.3× 40 1.0k
Ali Ercan 342 0.7× 292 0.9× 194 0.9× 135 0.8× 131 1.1× 68 759
Andrew Ross 335 0.7× 199 0.6× 163 0.8× 147 0.9× 98 0.8× 46 903
Caspar Hewett 234 0.5× 390 1.2× 99 0.5× 52 0.3× 142 1.2× 25 753
Giorgio Galeati 464 1.0× 515 1.6× 281 1.4× 65 0.4× 117 1.0× 22 780
Gabriella Petaccia 478 1.0× 290 0.9× 79 0.4× 180 1.1× 256 2.1× 40 771
Marco Mancini 412 0.9× 160 0.5× 154 0.8× 232 1.4× 63 0.5× 56 715

Countries citing papers authored by Lixiang Song

Since Specialization
Citations

This map shows the geographic impact of Lixiang 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 Lixiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lixiang Song more than expected).

Fields of papers citing papers by Lixiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lixiang 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 Lixiang Song. The network helps show where Lixiang Song may publish in the future.

Co-authorship network of co-authors of Lixiang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Lixiang Song. A scholar is included among the top collaborators of Lixiang 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 Lixiang Song. Lixiang Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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