Song Honglin

10 papers and 688 indexed citations i.

About

Song Honglin is a scholar working on Geophysics, Geology and Artificial Intelligence. According to data from OpenAlex, Song Honglin has authored 10 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Geophysics, 4 papers in Geology and 2 papers in Artificial Intelligence. Recurrent topics in Song Honglin’s work include Geological and Geochemical Analysis (8 papers), earthquake and tectonic studies (8 papers) and Geological and Geophysical Studies (4 papers). Song Honglin is often cited by papers focused on Geological and Geochemical Analysis (8 papers), earthquake and tectonic studies (8 papers) and Geological and Geophysical Studies (4 papers). Song Honglin collaborates with scholars based in China, Hong Kong and Australia. Song Honglin's co-authors include Dan‐Ping Yan, Mei‐Fu Zhou, John Malpas, Xinwen Wang, Genhou Wang, Min Sun, Shaofeng Liu, Daogong Hu, Weijie Zhang and Ganguo Wu and has published in prestigious journals such as Tectonophysics, Journal of Structural Geology and Journal of the Geological Society.

In The Last Decade

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

Fields of papers citing papers by Song Honglin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Honglin

Since Specialization
Citations

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