Bing Guan
About
Bing Guan is a scholar working on Organic Chemistry, Statistical and Nonlinear Physics and Biomaterials.
According to data from OpenAlex, Bing Guan has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 8 papers in Statistical and Nonlinear Physics and 7 papers in Biomaterials. Recurrent topics in Bing Guan’s work include Nonlinear Waves and Solitons (8 papers), Fractional Differential Equations Solutions (6 papers) and Nonlinear Photonic Systems (6 papers). Bing Guan is often cited by papers focused on Nonlinear Waves and Solitons (8 papers), Fractional Differential Equations Solutions (6 papers) and Nonlinear Photonic Systems (6 papers). Bing Guan collaborates with scholars based in China and United States. Bing Guan's co-authors include Shuangqing Chen, Ming Jiang, Qing Liang, Xiaojun Zhou and Ligang Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Macromolecules and Journal of Materials Chemistry.
In The Last Decade
Fields of papers citing papers by Bing Guan
Since SpecializationEngineeringComputer 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 Bing Guan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Bing Guan may publish in the future.
Countries citing papers authored by Bing Guan
Since SpecializationCitations
This map shows the geographic impact of Bing Guan'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 Bing Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Guan more than expected).
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