Lin Yang
About
Lin Yang is a scholar working on Modeling and Simulation, Epidemiology and Health, Toxicology and Mutagenesis.
According to data from OpenAlex, Lin Yang has authored 152 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Modeling and Simulation, 48 papers in Epidemiology and 33 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Lin Yang’s work include COVID-19 epidemiological studies (51 papers), Influenza Virus Research Studies (38 papers) and Climate Change and Health Impacts (27 papers). Lin Yang is often cited by papers focused on COVID-19 epidemiological studies (51 papers), Influenza Virus Research Studies (38 papers) and Climate Change and Health Impacts (27 papers). Lin Yang collaborates with scholars based in Hong Kong, China and United States. Lin Yang's co-authors include Malik Peiris, Daihai He, Shi Zhao, Peihua Cao and Chit Ming Wong and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Diabetes.
In The Last Decade
Fields of papers citing papers by Lin Yang
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 Lin Yang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Lin Yang may publish in the future.
Countries citing papers authored by Lin Yang
Since SpecializationCitations
This map shows the geographic impact of Lin Yang'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 Lin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Yang more than expected).
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