Fang Xia
About
Fang Xia is a scholar working on Pollution, Artificial Intelligence and Water Science and Technology.
According to data from OpenAlex, Fang Xia has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pollution, 14 papers in Artificial Intelligence and 13 papers in Water Science and Technology. Recurrent topics in Fang Xia’s work include Heavy metals in environment (19 papers), Geochemistry and Geologic Mapping (14 papers) and Water Quality and Pollution Assessment (10 papers). Fang Xia is often cited by papers focused on Heavy metals in environment (19 papers), Geochemistry and Geologic Mapping (14 papers) and Water Quality and Pollution Assessment (10 papers). Fang Xia collaborates with scholars based in China, United States and France. Fang Xia's co-authors include Randy A. Dahlgren, Minghua Zhang, Kun Mei, Hong Huang and Liyin Qu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.
In The Last Decade
Fields of papers citing papers by Fang Xia
Since SpecializationEngineeringComputer 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 Fang Xia. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fang Xia may publish in the future.
Countries citing papers authored by Fang Xia
Since SpecializationCitations
This map shows the geographic impact of Fang Xia'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 Fang Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Xia more than expected).
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