Ming‐Jun Lai

86 papers and 2.4k indexed citations i.

About

Ming‐Jun Lai is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Applied Mathematics. According to data from OpenAlex, Ming‐Jun Lai has authored 86 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computational Mechanics, 28 papers in Computer Vision and Pattern Recognition and 18 papers in Applied Mathematics. Recurrent topics in Ming‐Jun Lai’s work include Advanced Numerical Analysis Techniques (37 papers), Image and Signal Denoising Methods (23 papers) and Sparse and Compressive Sensing Techniques (17 papers). Ming‐Jun Lai is often cited by papers focused on Advanced Numerical Analysis Techniques (37 papers), Image and Signal Denoising Methods (23 papers) and Sparse and Compressive Sensing Techniques (17 papers). Ming‐Jun Lai collaborates with scholars based in United States, China and Germany. Ming‐Jun Lai's co-authors include Simon Foucart, Wotao Yin, Larry L. Schumaker, Yangyang Xu, Wei Deng, Zhimin Peng, Wenjie He, Ronghua Pan, Kun Zhao and Joachim Stöckler and has published in prestigious journals such as IEEE Transactions on Image Processing, Mathematics of Computation and SIAM Journal on Numerical Analysis.

In The Last Decade

Co-authorship network of co-authors of Ming‐Jun Lai i

Fields of papers citing papers by Ming‐Jun Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming‐Jun Lai

Since Specialization
Citations

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