Guo‐Li Yuan

About

Guo‐Li Yuan is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Artificial Intelligence. According to data from OpenAlex, Guo‐Li Yuan has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Health, Toxicology and Mutagenesis, 23 papers in Pollution and 18 papers in Artificial Intelligence. Recurrent topics in Guo‐Li Yuan’s work include Toxic Organic Pollutants Impact (29 papers), Geochemistry and Geologic Mapping (18 papers) and Heavy metals in environment (16 papers). Guo‐Li Yuan is often cited by papers focused on Toxic Organic Pollutants Impact (29 papers), Geochemistry and Geologic Mapping (18 papers) and Heavy metals in environment (16 papers). Guo‐Li Yuan collaborates with scholars based in China, Japan and United States. Guo‐Li Yuan's co-authors include Genhou Wang, Peng Han, Yong Sun and Noriyuki Kuramoto and has published in prestigious journals such as Water Research, The Science of The Total Environment and Macromolecules.

In The Last Decade

Fields of papers citing papers by Guo‐Li Yuan

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

Countries citing papers authored by Guo‐Li Yuan

Since Specialization

Citations

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

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