Shao-Po Wu

5 papers and 496 indexed citations i.

About

Shao-Po Wu is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Shao-Po Wu has authored 5 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Mechanics, 3 papers in Computational Theory and Mathematics and 3 papers in Numerical Analysis. Recurrent topics in Shao-Po Wu’s work include Advanced Optimization Algorithms Research (3 papers), Numerical Methods and Algorithms (2 papers) and Matrix Theory and Algorithms (2 papers). Shao-Po Wu is often cited by papers focused on Advanced Optimization Algorithms Research (3 papers), Numerical Methods and Algorithms (2 papers) and Matrix Theory and Algorithms (2 papers). Shao-Po Wu collaborates with scholars based in United States. Shao-Po Wu's co-authors include Stephen Boyd and Lieven Vandenberghe and has published in prestigious journals such as SIAM Journal on Matrix Analysis and Applications, CiteSeer X (The Pennsylvania State University) and Society for Industrial and Applied Mathematics eBooks.

In The Last Decade

Co-authorship network of co-authors of Shao-Po Wu i

Fields of papers citing papers by Shao-Po Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Po Wu. 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 Shao-Po Wu. The network helps show where Shao-Po Wu may publish in the future.

Countries citing papers authored by Shao-Po Wu

Since Specialization
Citations

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