Shufang Song

40 papers and 869 indexed citations i.

About

Shufang Song is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Shufang Song has authored 40 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics, Probability and Uncertainty, 14 papers in Civil and Structural Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Shufang Song’s work include Probabilistic and Robust Engineering Design (31 papers), Fatigue and fracture mechanics (11 papers) and Model Reduction and Neural Networks (11 papers). Shufang Song is often cited by papers focused on Probabilistic and Robust Engineering Design (31 papers), Fatigue and fracture mechanics (11 papers) and Model Reduction and Neural Networks (11 papers). Shufang Song collaborates with scholars based in China, United Kingdom and Germany. Shufang Song's co-authors include Zhenzhou Lü, Hongwei Qiao, Zhufeng Yue, Jian Wang, Weiwei Zhang, Sergei Kucherenko, Zhenzhou Lü, Luyi Li, Zhengyin Ye and Lü Zhenzhou and has published in prestigious journals such as Journal of Computational Physics, AIAA Journal and Physics of Fluids.

In The Last Decade

Co-authorship network of co-authors of Shufang Song i

Fields of papers citing papers by Shufang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shufang Song

Since Specialization
Citations

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

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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2025