Hai Jin

About

Hai Jin is a scholar working on Computer Networks and Communications, Epidemiology and Electrical and Electronic Engineering. According to data from OpenAlex, Hai Jin has authored 17 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Epidemiology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Hai Jin’s work include COVID-19 diagnosis using AI (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Caching and Content Delivery (2 papers). Hai Jin is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Caching and Content Delivery (2 papers). Hai Jin collaborates with scholars based in China, Canada and Australia. Hai Jin's co-authors include Biguang Tuo, Jiaxing An, Feng Lu, Song Wu and Xiaofei Liao and has published in prestigious journals such as Scientific Reports, IEEE Wireless Communications and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Fields of papers citing papers by Hai Jin

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

Countries citing papers authored by Hai Jin

Since Specialization

Citations

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

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