Bin Ai

About

Bin Ai is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Bin Ai has authored 43 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 12 papers in Ecology and 12 papers in Atmospheric Science. Recurrent topics in Bin Ai’s work include Land Use and Ecosystem Services (23 papers), Marine and coastal ecosystems (8 papers) and Coastal wetland ecosystem dynamics (8 papers). Bin Ai is often cited by papers focused on Land Use and Ecosystem Services (23 papers), Marine and coastal ecosystems (8 papers) and Coastal wetland ecosystem dynamics (8 papers). Bin Ai collaborates with scholars based in China and United States. Bin Ai's co-authors include Xia Li, Xiaoping Liu, Yimin Chen, Jun Zhao and Chunlei Ma and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Fields of papers citing papers by Bin Ai

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

Countries citing papers authored by Bin Ai

Since Specialization

Citations

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

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