Kan Tu

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 636 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 and Chu‐Yung Chen and has published in prestigious journals such as Geology and Chemical Geology.

In The Last Decade

Fields of papers citing papers by Kan Tu

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Kan Tu. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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