Yanqin Bai

100 papers and 1.6k indexed citations i.

About

Yanqin Bai is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Yanqin Bai has authored 100 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Numerical Analysis, 47 papers in Computational Theory and Mathematics and 33 papers in Computational Mechanics. Recurrent topics in Yanqin Bai’s work include Advanced Optimization Algorithms Research (57 papers), Sparse and Compressive Sensing Techniques (27 papers) and Matrix Theory and Algorithms (27 papers). Yanqin Bai is often cited by papers focused on Advanced Optimization Algorithms Research (57 papers), Sparse and Compressive Sensing Techniques (27 papers) and Matrix Theory and Algorithms (27 papers). Yanqin Bai collaborates with scholars based in China, The Netherlands and United States. Yanqin Bai's co-authors include Guoqiang Wang, C. Roos, Mohamed El Ghami, Mohammad Mehdi Rashidi, M. M. Bhatti, Changjun Yu, Muhammad Abbas, Kok Lay Teo, Liansheng Zhang and Shu‐Cherng Fang and has published in prestigious journals such as Automatica, Life Sciences and Journal of the Operational Research Society.

In The Last Decade

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

Fields of papers citing papers by Yanqin Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yanqin Bai

Since Specialization
Citations

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