Lingni Ma

About

Lingni Ma is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Lingni Ma has authored 9 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Aerospace Engineering and 3 papers in Computational Mechanics. Recurrent topics in Lingni Ma’s work include Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (5 papers) and Human Pose and Action Recognition (4 papers). Lingni Ma is often cited by papers focused on Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (5 papers) and Human Pose and Action Recognition (4 papers). Lingni Ma collaborates with scholars based in United States, Germany and The Netherlands. Lingni Ma's co-authors include Daniel Cremers, Jörg Stückler, Christian Kerl, Richard Newcombe, Chris Sweeney, Tomáš Hodaň, Minh Vo, Francesc Moreno-Noguer, Enric Corona and Julian Straub and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Maynooth University ePrints and eTheses Archive (Maynooth University).

In The Last Decade

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

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Fields of papers citing papers by Lingni Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingni Ma

Since Specialization

Citations

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