Long Ma
About
Long Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence.
According to data from OpenAlex, Long Ma has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 16 papers in Media Technology and 7 papers in Artificial Intelligence. Recurrent topics in Long Ma’s work include Image Enhancement Techniques (35 papers), Advanced Image Processing Techniques (25 papers) and Advanced Vision and Imaging (18 papers). Long Ma is often cited by papers focused on Image Enhancement Techniques (35 papers), Advanced Image Processing Techniques (25 papers) and Advanced Vision and Imaging (18 papers). Long Ma collaborates with scholars based in China, Hong Kong and Japan. Long Ma's co-authors include Risheng Liu, Xin Fan, Zhongxuan Luo, Jinyuan Liu and Zhu Liu and has published in prestigious journals such as Blood, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
In The Last Decade
Fields of papers citing papers by Long 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 Long Ma. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Long Ma may publish in the future.
Countries citing papers authored by Long Ma
Since SpecializationCitations
This map shows the geographic impact of Long 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 Long Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Ma more than expected).
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