Kan Tu

6 papers and 637 indexed citations i.

About

Kan Tu is a scholar working on Geophysics, Geology and Artificial Intelligence. According to data from OpenAlex, Kan Tu has authored 6 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geophysics, 3 papers in Geology and 1 paper in Artificial Intelligence. Recurrent topics in Kan Tu’s work include Geological and Geochemical Analysis (6 papers), earthquake and tectonic studies (5 papers) and Geological and Geophysical Studies (3 papers). Kan Tu is often cited by papers focused on Geological and Geochemical Analysis (6 papers), earthquake and tectonic studies (5 papers) and Geological and Geophysical Studies (3 papers). Kan Tu collaborates with scholars based in United States, China and Taiwan. Kan Tu's co-authors include Martin F. J. Flower, Guanghong Xie, Ming Zhang, Richard W. Carlson, Chu‐Yung Chen, Sun‐Lin Chung, Cheng‐Hong Chen, Chi‐Yu Lee, Shen‐Su Sun and Ming Zhang and has published in prestigious journals such as Geology, Chemical Geology and Geochemistry.

In The Last Decade

Co-authorship network of co-authors of Kan Tu i

Fields of papers citing papers by Kan Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kan Tu

Since Specialization
Citations

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