Shih-Ping Han

12 papers and 644 indexed citations i.

About

Shih-Ping Han is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Shih-Ping Han has authored 12 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Numerical Analysis, 8 papers in Computational Theory and Mathematics and 7 papers in Computational Mechanics. Recurrent topics in Shih-Ping Han’s work include Advanced Optimization Algorithms Research (12 papers), Optimization and Variational Analysis (7 papers) and Advanced Numerical Analysis Techniques (4 papers). Shih-Ping Han is often cited by papers focused on Advanced Optimization Algorithms Research (12 papers), Optimization and Variational Analysis (7 papers) and Advanced Numerical Analysis Techniques (4 papers). Shih-Ping Han collaborates with scholars based in United States and India. Shih-Ping Han's co-authors include Narayan Rangaraj and Jong‐Shi Pang and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Control and Optimization and Numerische Mathematik.

In The Last Decade

Co-authorship network of co-authors of Shih-Ping Han i

Fields of papers citing papers by Shih-Ping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Ping Han. 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 Shih-Ping Han. The network helps show where Shih-Ping Han may publish in the future.

Countries citing papers authored by Shih-Ping Han

Since Specialization
Citations

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