Lijun Song

53 papers and 299 indexed citations i.

About

Lijun Song is a scholar working on Geophysics, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Lijun Song has authored 53 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Geophysics, 10 papers in Artificial Intelligence and 7 papers in Mechanics of Materials. Recurrent topics in Lijun Song’s work include Geological and Geochemical Analysis (11 papers), High-pressure geophysics and materials (8 papers) and earthquake and tectonic studies (7 papers). Lijun Song is often cited by papers focused on Geological and Geochemical Analysis (11 papers), High-pressure geophysics and materials (8 papers) and earthquake and tectonic studies (7 papers). Lijun Song collaborates with scholars based in China, United States and United Kingdom. Lijun Song's co-authors include Jianxiong Zhang, Shichen Zhang, Dapeng Li, Huan Kang, Jianzhen Geng, Yuelong Chen, Kang Tu, Dan Xie, Hailong Hong and Min Chen and has published in prestigious journals such as Environmental Science & Technology, Food Chemistry and Green Chemistry.

In The Last Decade

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

Fields of papers citing papers by Lijun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lijun Song

Since Specialization
Citations

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