Kang Chen

43 papers and 1.7k indexed citations i.

About

Kang Chen is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Kang Chen has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Geophysics, 16 papers in Artificial Intelligence and 8 papers in Geochemistry and Petrology. Recurrent topics in Kang Chen’s work include Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (13 papers) and High-pressure geophysics and materials (10 papers). Kang Chen is often cited by papers focused on Geological and Geochemical Analysis (20 papers), Geochemistry and Geologic Mapping (13 papers) and High-pressure geophysics and materials (10 papers). Kang Chen collaborates with scholars based in China, United States and Estonia. Kang Chen's co-authors include Zhaochu Hu, Yongsheng Liu, Keqing Zong, Shan Gao and Jingliang Guo and has published in prestigious journals such as Science, Nature Communications and Analytical Chemistry.

In The Last Decade

Fields of papers citing papers by Kang Chen

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 Kang Chen. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kang Chen may publish in the future.

Countries citing papers authored by Kang Chen

Since Specialization
Citations

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

Rankless by CCL
2025