Long Qing

13 papers and 367 indexed citations i.

About

Long Qing is a scholar working on Geophysics, Artificial Intelligence and Paleontology. According to data from OpenAlex, Long Qing has authored 13 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Geophysics, 6 papers in Artificial Intelligence and 2 papers in Paleontology. Recurrent topics in Long Qing’s work include Geological and Geochemical Analysis (13 papers), earthquake and tectonic studies (10 papers) and High-pressure geophysics and materials (7 papers). Long Qing is often cited by papers focused on Geological and Geochemical Analysis (13 papers), earthquake and tectonic studies (10 papers) and High-pressure geophysics and materials (7 papers). Long Qing collaborates with scholars based in China. Long Qing's co-authors include Yao-Hui Jiang, Chun-Yu Ni, Guochang Wang, Zheng Liu and Qiao Zhang and has published in prestigious journals such as Precambrian Research, Lithos and The Journal of Geology.

In The Last Decade

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

Fields of papers citing papers by Long Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Qing

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025