Ming C. Lin

129 papers and 4.3k indexed citations i.

About

Ming C. Lin is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering. According to data from OpenAlex, Ming C. Lin has authored 129 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 30 papers in Computer Graphics and Computer-Aided Design and 29 papers in Control and Systems Engineering. Recurrent topics in Ming C. Lin’s work include Robotic Path Planning Algorithms (31 papers), Evacuation and Crowd Dynamics (26 papers) and Computational Geometry and Mesh Generation (19 papers). Ming C. Lin is often cited by papers focused on Robotic Path Planning Algorithms (31 papers), Evacuation and Crowd Dynamics (26 papers) and Computational Geometry and Mesh Generation (19 papers). Ming C. Lin collaborates with scholars based in United States, France and South Korea. Ming C. Lin's co-authors include Dinesh Manocha, Jur van den Berg, Hengchin Yeh, Zhimin Ren, Miguel Á. Otaduy, Sean Curtis, Stephen J. Guy, Nikunj Raghuvanshi, Rahul Narain and Jason Sewall and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of Ming C. Lin i

Fields of papers citing papers by Ming C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming C. Lin. 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 Ming C. Lin. The network helps show where Ming C. Lin may publish in the future.

Countries citing papers authored by Ming C. Lin

Since Specialization
Citations

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