Shun Bi

About

Shun Bi is a scholar working on Oceanography, Industrial and Manufacturing Engineering and Ecology. According to data from OpenAlex, Shun Bi has authored 29 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oceanography, 14 papers in Industrial and Manufacturing Engineering and 11 papers in Ecology. Recurrent topics in Shun Bi’s work include Marine and coastal ecosystems (24 papers), Water Quality Monitoring and Analysis (14 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (11 papers). Shun Bi is often cited by papers focused on Marine and coastal ecosystems (24 papers), Water Quality Monitoring and Analysis (14 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (11 papers). Shun Bi collaborates with scholars based in China, Germany and Belgium. Shun Bi's co-authors include Yunmei Li, Heng Lyu, Meng Mu and Shaohua Lei and has published in prestigious journals such as Water Research, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Fields of papers citing papers by Shun Bi

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

Countries citing papers authored by Shun Bi

Since Specialization

Citations

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

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