Dan‐Ping Yan

70 papers and 4.3k indexed citations i.

About

Dan‐Ping Yan is a scholar working on Geophysics, Artificial Intelligence and Geology. According to data from OpenAlex, Dan‐Ping Yan has authored 70 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Geophysics, 21 papers in Artificial Intelligence and 14 papers in Geology. Recurrent topics in Dan‐Ping Yan’s work include Geological and Geochemical Analysis (63 papers), earthquake and tectonic studies (55 papers) and High-pressure geophysics and materials (30 papers). Dan‐Ping Yan is often cited by papers focused on Geological and Geochemical Analysis (63 papers), earthquake and tectonic studies (55 papers) and High-pressure geophysics and materials (30 papers). Dan‐Ping Yan collaborates with scholars based in China, Hong Kong and United States. Dan‐Ping Yan's co-authors include Mei‐Fu Zhou, Allen Kennedy, Yunqian Li, Jun Ding, Wei Wang, Song Honglin, Liang Qiu, John Malpas, Jianwei Li and Xinwen Wang and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Earth and Planetary Science Letters and Earth-Science Reviews.

In The Last Decade

Co-authorship network of co-authors of Dan‐Ping Yan i

Fields of papers citing papers by Dan‐Ping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan‐Ping Yan. 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 Dan‐Ping Yan. The network helps show where Dan‐Ping Yan may publish in the future.

Countries citing papers authored by Dan‐Ping Yan

Since Specialization
Citations

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