Erxiang Song

111 total papers · 1.7k total citations
74 papers, 1.3k citations indexed

About

Erxiang Song is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Erxiang Song has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Civil and Structural Engineering, 18 papers in Mechanics of Materials and 16 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Erxiang Song's work include Geotechnical Engineering and Underground Structures (47 papers), Geotechnical Engineering and Soil Stabilization (27 papers) and Geotechnical Engineering and Soil Mechanics (22 papers). Erxiang Song is often cited by papers focused on Geotechnical Engineering and Underground Structures (47 papers), Geotechnical Engineering and Soil Stabilization (27 papers) and Geotechnical Engineering and Soil Mechanics (22 papers). Erxiang Song collaborates with scholars based in China and United States. Erxiang Song's co-authors include Huabei Liu, Ming Xu, Peng Li, Hoe I. Ling, Xiangyu Wang, Zhihong Zhao, Jinfeng Chen, Mingju Zhang, Zhaoyuan Chen and Abbas Haider and has published in prestigious journals such as Tunnelling and Underground Space Technology, Computers and Geotechnics and Soil Dynamics and Earthquake Engineering.

In The Last Decade

Erxiang Song

72 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Erxiang Song 1.2k 347 239 226 104 74 1.3k
Stavroula Kontoe 1.2k 1.0× 287 0.8× 176 0.7× 187 0.8× 117 1.1× 82 1.3k
Yang Zhou 1.5k 1.3× 517 1.5× 467 2.0× 227 1.0× 51 0.5× 74 1.7k
Brian Sheil 1.1k 0.9× 408 1.2× 116 0.5× 169 0.7× 152 1.5× 107 1.3k
Jie Yang 1.1k 0.9× 203 0.6× 303 1.3× 144 0.6× 78 0.8× 42 1.2k
Irini Djéran‐Maigre 1.4k 1.2× 716 2.1× 184 0.8× 414 1.8× 128 1.2× 74 1.8k
Victor N. Kaliakin 1.1k 0.9× 223 0.6× 96 0.4× 224 1.0× 68 0.7× 95 1.4k
Eric C. Drumm 945 0.8× 304 0.9× 228 1.0× 148 0.7× 86 0.8× 86 1.3k
Yongxin Wu 1.3k 1.1× 641 1.8× 211 0.9× 180 0.8× 97 0.9× 76 1.5k
Akira Asaoka 1.5k 1.3× 472 1.4× 206 0.9× 114 0.5× 43 0.4× 84 1.7k
Diego Carlo Lo Presti 1.4k 1.2× 206 0.6× 251 1.1× 132 0.6× 89 0.9× 91 1.6k

Countries citing papers authored by Erxiang Song

Since Specialization
Citations

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

Fields of papers citing papers by Erxiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erxiang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Erxiang Song. A scholar is included among the top collaborators of Erxiang 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 Erxiang Song. Erxiang 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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2026