Ruijin Cang

About

Ruijin Cang is a scholar working on Materials Chemistry, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ruijin Cang has authored 4 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Materials Chemistry, 2 papers in Artificial Intelligence and 2 papers in Mechanical Engineering. Recurrent topics in Ruijin Cang’s work include Machine Learning in Materials Science (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Topology Optimization in Engineering (2 papers). Ruijin Cang is often cited by papers focused on Machine Learning in Materials Science (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Topology Optimization in Engineering (2 papers). Ruijin Cang collaborates with scholars based in United States. Ruijin Cang's co-authors include Yang Jiao, Yi Ren, Houpu Yao, Shaohua Chen, Yongming Liu, Danny J. Lohan and James T. Allison and has published in prestigious journals such as Computational Materials Science, Journal of Mechanical Design and Computer-Aided Design.

In The Last Decade

Co-authorship network of co-authors of Ruijin Cang i

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Fields of papers citing papers by Ruijin Cang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruijin Cang

Since Specialization

Citations

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