Guang-Xin Huang

About

Guang-Xin Huang is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Mathematical Physics. According to data from OpenAlex, Guang-Xin Huang has authored 36 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 17 papers in Numerical Analysis and 11 papers in Mathematical Physics. Recurrent topics in Guang-Xin Huang’s work include Matrix Theory and Algorithms (23 papers), Advanced Optimization Algorithms Research (16 papers) and Inverse Problems in Mathematical Physics and Imaging (11 papers). Guang-Xin Huang is often cited by papers focused on Matrix Theory and Algorithms (23 papers), Advanced Optimization Algorithms Research (16 papers) and Inverse Problems in Mathematical Physics and Imaging (11 papers). Guang-Xin Huang collaborates with scholars based in China, United States and Italy. Guang-Xin Huang's co-authors include Ke Guo, Lothar Reichel, Feng Yin, Zhongli Zhou, Alessandro Lanza, Silvia Noschese, Fiorella Sgallari, Serena Morigi, Huafu Chen and Yuanyuan Liu and has published in prestigious journals such as Pattern Recognition, Applied Mathematics and Computation and Applied Mathematical Modelling.

In The Last Decade

Co-authorship network of co-authors of Guang-Xin Huang i

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Fields of papers citing papers by Guang-Xin Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Xin Huang. 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 Guang-Xin Huang. The network helps show where Guang-Xin Huang may publish in the future.

Countries citing papers authored by Guang-Xin Huang

Since Specialization

Citations

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