LI Xiao-mei

About

LI Xiao-mei is a scholar working on Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, LI Xiao-mei has authored 28 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Media Technology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in LI Xiao-mei’s work include Remote-Sensing Image Classification (3 papers), Cell Image Analysis Techniques (2 papers) and Adaptive Control of Nonlinear Systems (2 papers). LI Xiao-mei is often cited by papers focused on Remote-Sensing Image Classification (3 papers), Cell Image Analysis Techniques (2 papers) and Adaptive Control of Nonlinear Systems (2 papers). LI Xiao-mei collaborates with scholars based in China and United States. LI Xiao-mei's co-authors include Zhi Liu, Xiaoyan Xiao, Jun Chang, Chengyun Zheng and Bo Tang and has published in prestigious journals such as Sensors, IEEE Access and Information Sciences.

In The Last Decade

Fields of papers citing papers by LI Xiao-mei

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

Countries citing papers authored by LI Xiao-mei

Since Specialization

Citations

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

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