Ming Lin

10 papers and 278 indexed citations i.

About

Ming Lin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, Ming Lin has authored 10 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 2 papers in Molecular Biology. Recurrent topics in Ming Lin’s work include Robotic Path Planning Algorithms (3 papers), Corneal Surgery and Treatments (2 papers) and Robotics and Sensor-Based Localization (2 papers). Ming Lin is often cited by papers focused on Robotic Path Planning Algorithms (3 papers), Corneal Surgery and Treatments (2 papers) and Robotics and Sensor-Based Localization (2 papers). Ming Lin collaborates with scholars based in United States, China and Italy. Ming Lin's co-authors include Dinesh Manocha, Taeyong Kim, Kelly Ward, Stephen R. Marschner, Florence Bertails, Marie‐Paule Cani, Jack Snoeyink, Jan van den Berg, Russell Gayle and Avneesh Sud and has published in prestigious journals such as Proceedings of the IEEE, Advanced Science and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

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

Fields of papers citing papers by Ming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Lin

Since Specialization
Citations

This map shows the geographic impact of Ming 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 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 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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