Xiaodan Ma

About

Xiaodan Ma is a scholar working on Plant Science, Atmospheric Science and Ecology. According to data from OpenAlex, Xiaodan Ma has authored 71 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 28 papers in Atmospheric Science and 18 papers in Ecology. Recurrent topics in Xiaodan Ma’s work include Smart Agriculture and AI (24 papers), Remote Sensing in Agriculture (18 papers) and Atmospheric chemistry and aerosols (17 papers). Xiaodan Ma is often cited by papers focused on Smart Agriculture and AI (24 papers), Remote Sensing in Agriculture (18 papers) and Atmospheric chemistry and aerosols (17 papers). Xiaodan Ma collaborates with scholars based in China, United States and Canada. Xiaodan Ma's co-authors include Haiou Guan, Song Yu, Chen Yang, Tianliang Zhao and Xiaoyun Sun and has published in prestigious journals such as The Science of The Total Environment, Journal of Climate and Food Chemistry.

In The Last Decade

Fields of papers citing papers by Xiaodan Ma

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

Countries citing papers authored by Xiaodan Ma

Since Specialization

Citations

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

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