Jyh‐Ming Lien

About

Jyh‐Ming Lien is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering. According to data from OpenAlex, Jyh‐Ming Lien has authored 56 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 20 papers in Computer Graphics and Computer-Aided Design and 14 papers in Aerospace Engineering. Recurrent topics in Jyh‐Ming Lien’s work include Robotic Path Planning Algorithms (24 papers), Computational Geometry and Mesh Generation (18 papers) and Robotics and Sensor-Based Localization (14 papers). Jyh‐Ming Lien is often cited by papers focused on Robotic Path Planning Algorithms (24 papers), Computational Geometry and Mesh Generation (18 papers) and Robotics and Sensor-Based Localization (14 papers). Jyh‐Ming Lien collaborates with scholars based in United States, South Korea and Mexico. Jyh‐Ming Lien's co-authors include Nancy M. Amato, Zhonghua Xi, Yanyan Lu, Jianchao Tan, Yotam Gingold, John Keyser, Shawna Thomas, Sara Rodrı́guez, Gregorij Kurillo and In‐Suk Choi and has published in prestigious journals such as Science Advances, ACM Transactions on Graphics and The International Journal of Robotics Research.

In The Last Decade

Co-authorship network of co-authors of Jyh‐Ming Lien i

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Fields of papers citing papers by Jyh‐Ming Lien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyh‐Ming Lien. 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 Jyh‐Ming Lien. The network helps show where Jyh‐Ming Lien may publish in the future.

Countries citing papers authored by Jyh‐Ming Lien

Since Specialization

Citations

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