Mingchun Song

49 papers and 896 indexed citations i.

About

Mingchun Song is a scholar working on Geophysics, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Mingchun Song has authored 49 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Geophysics, 37 papers in Artificial Intelligence and 12 papers in Economics and Econometrics. Recurrent topics in Mingchun Song’s work include Geological and Geochemical Analysis (41 papers), Geochemistry and Geologic Mapping (37 papers) and earthquake and tectonic studies (20 papers). Mingchun Song is often cited by papers focused on Geological and Geochemical Analysis (41 papers), Geochemistry and Geologic Mapping (37 papers) and earthquake and tectonic studies (20 papers). Mingchun Song collaborates with scholars based in China, Canada and United States. Mingchun Song's co-authors include M. Santosh, Sanzhong Li, Pui Yuk Tam, Yanhui Suo, Liming Dai, Guochun Zhao, Xin Liu, Yingxin Song, Jian‐Bo Zhou and Long Li and has published in prestigious journals such as Earth-Science Reviews, Geological Society of America Bulletin and Precambrian Research.

In The Last Decade

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

Fields of papers citing papers by Mingchun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingchun Song

Since Specialization
Citations

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