Gang Yu

About

Gang Yu is a scholar working on Epidemiology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Gang Yu has authored 53 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Molecular Biology and 8 papers in Artificial Intelligence. Recurrent topics in Gang Yu’s work include Pneumonia and Respiratory Infections (5 papers), COVID-19 diagnosis using AI (4 papers) and Sepsis Diagnosis and Treatment (4 papers). Gang Yu is often cited by papers focused on Pneumonia and Respiratory Infections (5 papers), COVID-19 diagnosis using AI (4 papers) and Sepsis Diagnosis and Treatment (4 papers). Gang Yu collaborates with scholars based in China, United States and Hong Kong. Gang Yu's co-authors include Yan Ni, Feng Ju, Qiang Shu, Danni Zhang, Huilong Duan, Haomin Li, Junfen Fu, Dan Peng, Jianmin Ling and Zhigang He and has published in prestigious journals such as Bioinformatics, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Gang Yu i

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Fields of papers citing papers by Gang Yu

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

Countries citing papers authored by Gang Yu

Since Specialization

Citations

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

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