Nan Ma
About
Nan Ma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering.
According to data from OpenAlex, Nan Ma has authored 32 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Nan Ma’s work include Anomaly Detection Techniques and Applications (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Neural Network Applications (4 papers). Nan Ma is often cited by papers focused on Anomaly Detection Techniques and Applications (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Neural Network Applications (4 papers). Nan Ma collaborates with scholars based in China, Canada and Japan. Nan Ma's co-authors include Hong Bao, Jiahong Li, Tao Wang and Sen Huang and has published in prestigious journals such as IEEE Access, Remote Sensing and Neurocomputing.
In The Last Decade
Fields of papers citing papers by Nan 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 Nan Ma. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Nan Ma may publish in the future.
Countries citing papers authored by Nan Ma
Since SpecializationCitations
This map shows the geographic impact of Nan 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 Nan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Ma more than expected).
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