Long Mai

27 papers and 1.5k indexed citations i.

About

Long Mai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Long Mai has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Long Mai’s work include Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Long Mai is often cited by papers focused on Advanced Vision and Imaging (11 papers), Advanced Image Processing Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Long Mai collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Long Mai's co-authors include Feng Liu, Simon Niklaus, Yuzhen Niu, Oliver Wang, Shuicheng Yan, Jianming Zhang, Zhe Lin, Yağız Aksoy, Sylvain Paris and Wei‐Shinn Ku and has published in prestigious journals such as Sensors, ACM Transactions on Graphics and Annals of Operations Research.

In The Last Decade

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

Fields of papers citing papers by Long Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Mai

Since Specialization
Citations

This map shows the geographic impact of Long Mai'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 Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Mai 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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2025