Jun Geng

24 papers and 302 indexed citations i.

About

Jun Geng is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Jun Geng has authored 24 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 11 papers in Applied Mathematics and 9 papers in Computational Mechanics. Recurrent topics in Jun Geng’s work include Advanced Mathematical Modeling in Engineering (17 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Nonlinear Partial Differential Equations (8 papers). Jun Geng is often cited by papers focused on Advanced Mathematical Modeling in Engineering (17 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Nonlinear Partial Differential Equations (8 papers). Jun Geng collaborates with scholars based in China and United States. Jun Geng's co-authors include Zhongwei Shen, Jonathan V. Selinger, Robin L. B. Selinger, Thanh‐Son Nguyen, Matthew Fraser, Linda S. Hirst, Jixiang Chen and Liang Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biophysical Journal and Journal of Non-Crystalline Solids.

In The Last Decade

Co-authorship network of co-authors of Jun Geng i

Fields of papers citing papers by Jun Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Geng

Since Specialization
Citations

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