Minru Bai

30 papers and 409 indexed citations i.

About

Minru Bai is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Minru Bai has authored 30 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 12 papers in Computational Mechanics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Minru Bai’s work include Sparse and Compressive Sensing Techniques (11 papers), Tensor decomposition and applications (11 papers) and Optimization and Variational Analysis (10 papers). Minru Bai is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Tensor decomposition and applications (11 papers) and Optimization and Variational Analysis (10 papers). Minru Bai collaborates with scholars based in China, Hong Kong and South Korea. Minru Bai's co-authors include Xiongjun Zhang, Michael K. Ng, Guyan Ni, Nan‐jing Huang, Duo Qiu, Shuzi Zhou, Liqun Qi, Shin Min Kang, Xiaoji Liu and Qianqian Shao and has published in prestigious journals such as Neurocomputing, Computers & Mathematics with Applications and Inverse Problems.

In The Last Decade

Co-authorship network of co-authors of Minru Bai i

Fields of papers citing papers by Minru Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minru Bai

Since Specialization
Citations

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