Long Ma

77 papers and 1.4k indexed citations i.

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 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 8 papers in Artificial Intelligence. Recurrent topics in Long Ma’s work include Image Enhancement Techniques (37 papers), Advanced Image Processing Techniques (26 papers) and Advanced Vision and Imaging (18 papers). Long Ma is often cited by papers focused on Image Enhancement Techniques (37 papers), Advanced Image Processing Techniques (26 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, Jiaao Zhang, Tengyu Ma, Zhongxuan Luo, Jinyuan Liu, Ping Wang, Xinwei Xue 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

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

Fields of papers citing papers by Long Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long 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 Long Ma. The network helps show where Long Ma may publish in the future.

Countries citing papers authored by Long Ma

Since Specialization
Citations

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).

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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