Jun Ma

88 papers and 2.3k indexed citations i.

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 88 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 15 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), Advanced Neural Network Applications (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), Advanced Neural Network Applications (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 Jack C.P. Cheng, Feifeng Jiang, Bo Wang, Xiaoping Yang, Yuting He, Chenyu You, Lin Han, Jianan Chen, Weiwei Chen and Jian He 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

Co-authorship network of co-authors of Jun Ma i

Fields of papers citing papers by Jun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Ma. 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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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