Mei Han
About
Mei Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health, Toxicology and Mutagenesis.
According to data from OpenAlex, Mei Han has authored 66 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Mei Han’s work include Water Treatment and Disinfection (8 papers), Advanced Vision and Imaging (7 papers) and Wastewater Treatment and Nitrogen Removal (6 papers). Mei Han is often cited by papers focused on Water Treatment and Disinfection (8 papers), Advanced Vision and Imaging (7 papers) and Wastewater Treatment and Nitrogen Removal (6 papers). Mei Han collaborates with scholars based in China, United States and Japan. Mei Han's co-authors include Yihong Gong, Wei Gao, Yuxing Tang, Jing Xiao and Shengyang Dai and has published in prestigious journals such as Bioresource Technology, IEEE Transactions on Image Processing and Desalination.
In The Last Decade
Fields of papers citing papers by Mei Han
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 Mei Han. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Mei Han may publish in the future.
Countries citing papers authored by Mei Han
Since SpecializationCitations
This map shows the geographic impact of Mei Han'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 Mei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Han more than expected).
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