Ruichen Jin

12 papers and 2.2k indexed citations i.

About

Ruichen Jin is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ruichen Jin has authored 12 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Management Science and Operations Research and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ruichen Jin’s work include Advanced Multi-Objective Optimization Algorithms (8 papers), Optimal Experimental Design Methods (7 papers) and Probabilistic and Robust Engineering Design (6 papers). Ruichen Jin is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Optimal Experimental Design Methods (7 papers) and Probabilistic and Robust Engineering Design (6 papers). Ruichen Jin collaborates with scholars based in United States, South Korea and Philippines. Ruichen Jin's co-authors include Timothy W. Simpson, Wei Chen, Agus Sudjianto, Xiaoping Du, Wei Chen and Jongweon Kim and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Structural and Multidisciplinary Optimization and Journal of Quality Technology.

In The Last Decade

Co-authorship network of co-authors of Ruichen Jin i

Fields of papers citing papers by Ruichen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruichen Jin

Since Specialization
Citations

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