Li Ma
About
Li Ma is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence.
According to data from OpenAlex, Li Ma has authored 128 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Media Technology, 22 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Li Ma’s work include Remote-Sensing Image Classification (27 papers), Underwater Acoustics Research (19 papers) and Domain Adaptation and Few-Shot Learning (15 papers). Li Ma is often cited by papers focused on Remote-Sensing Image Classification (27 papers), Underwater Acoustics Research (19 papers) and Domain Adaptation and Few-Shot Learning (15 papers). Li Ma collaborates with scholars based in China, United States and Australia. Li Ma's co-authors include Tao Tang, Qian Du, Yanhui Wang, Weilin Li and Melba M. Crawford and has published in prestigious journals such as Nano Letters, Chemistry of Materials and Analytical Chemistry.
In The Last Decade
Fields of papers citing papers by Li Ma
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 Li Ma. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Li Ma may publish in the future.
Countries citing papers authored by Li Ma
Since SpecializationCitations
This map shows the geographic impact of Li 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 Li Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ma more than expected).
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