Jun Ma

About

Jun Ma is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun Ma has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 14 papers in Electrical and Electronic Engineering and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun Ma’s work include Optical measurement and interference techniques (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced Measurement and Metrology Techniques (7 papers). Jun Ma is often cited by papers focused on Optical measurement and interference techniques (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced Measurement and Metrology Techniques (7 papers). Jun Ma collaborates with scholars based in China, Hong Kong and Germany. Jun Ma's co-authors include Rihong Zhu, Feifeng Jiang, Xiaoping Yang, Jack C.P. Cheng and Caojin Yuan and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Fields of papers citing papers by Jun Ma

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

Countries citing papers authored by Jun Ma

Since Specialization

Citations

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

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