Lingli Long

36 papers and 1.3k indexed citations i.

About

Lingli Long is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Lingli Long has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Geophysics, 22 papers in Artificial Intelligence and 9 papers in Geochemistry and Petrology. Recurrent topics in Lingli Long’s work include Geological and Geochemical Analysis (32 papers), Geochemistry and Geologic Mapping (22 papers) and earthquake and tectonic studies (19 papers). Lingli Long is often cited by papers focused on Geological and Geochemical Analysis (32 papers), Geochemistry and Geologic Mapping (22 papers) and earthquake and tectonic studies (19 papers). Lingli Long collaborates with scholars based in China, Germany and Australia. Lingli Long's co-authors include Qing Qian, Jun Gao, Reiner Klemd, Jingbin Wang, Yuwang Wang, Dunyi Liu, Wei Liu, Yitian Wang, Wen Su and Christoph Beier and has published in prestigious journals such as Lithos, Journal of Asian Earth Sciences and Ore Geology Reviews.

In The Last Decade

Co-authorship network of co-authors of Lingli Long i

Fields of papers citing papers by Lingli Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingli Long

Since Specialization
Citations

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