Song Wu

32 papers and 1.2k indexed citations
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About

Song Wu is a scholar working on Building and Construction, Geology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Song Wu has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Building and Construction, 7 papers in Geology and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Song Wu’s work include BIM and Construction Integration (14 papers), 3D Surveying and Cultural Heritage (7 papers) and Ionosphere and magnetosphere dynamics (4 papers). Song Wu is often cited by papers focused on BIM and Construction Integration (14 papers), 3D Surveying and Cultural Heritage (7 papers) and Ionosphere and magnetosphere dynamics (4 papers). Song Wu collaborates with scholars based in United Kingdom, China and United States. Song Wu's co-authors include Angela Lee, Elham Delzendeh, Ying Zhou, Zhiliang Ma, Ghassan Aouad, Hanbin Luo, Binlong Zhong, Lieyun Ding, Changfeng Fu and Kanchana Ginige and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Song Wu

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

Song Wu

28 papers receiving 1.2k citations

Fields of papers citing papers by Song Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Wu

Since Specialization
Citations

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