Ting-Guang Lan

60 papers and 1.4k indexed citations i.

About

Ting-Guang Lan is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Ting-Guang Lan has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Geophysics, 34 papers in Artificial Intelligence and 11 papers in Geochemistry and Petrology. Recurrent topics in Ting-Guang Lan’s work include Geological and Geochemical Analysis (58 papers), earthquake and tectonic studies (38 papers) and Geochemistry and Geologic Mapping (34 papers). Ting-Guang Lan is often cited by papers focused on Geological and Geochemical Analysis (58 papers), earthquake and tectonic studies (38 papers) and Geochemistry and Geologic Mapping (34 papers). Ting-Guang Lan collaborates with scholars based in China, Japan and Australia. Ting-Guang Lan's co-authors include Hong‐Rui Fan, Kui‐Feng Yang, Fangfang Hu, M. Santosh, Yongsheng Liu, Yue‐Heng Yang, Simon A. Wilde, Ya-Chun Cai, Xiaochun Li and Bo-Jie Wen and has published in prestigious journals such as Chemical Geology, Precambrian Research and Lithos.

In The Last Decade

Co-authorship network of co-authors of Ting-Guang Lan i

Fields of papers citing papers by Ting-Guang Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Guang Lan. 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 Ting-Guang Lan. The network helps show where Ting-Guang Lan may publish in the future.

Countries citing papers authored by Ting-Guang Lan

Since Specialization
Citations

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