Guangqing Long

34 papers and 324 indexed citations i.

About

Guangqing Long is a scholar working on Numerical Analysis, Computational Mechanics and Mechanics of Materials. According to data from OpenAlex, Guangqing Long has authored 34 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Numerical Analysis, 14 papers in Computational Mechanics and 14 papers in Mechanics of Materials. Recurrent topics in Guangqing Long’s work include Differential Equations and Numerical Methods (15 papers), Advanced Numerical Methods in Computational Mathematics (12 papers) and Numerical methods in engineering (12 papers). Guangqing Long is often cited by papers focused on Differential Equations and Numerical Methods (15 papers), Advanced Numerical Methods in Computational Mathematics (12 papers) and Numerical methods in engineering (12 papers). Guangqing Long collaborates with scholars based in China, India and United States. Guangqing Long's co-authors include Gnaneshwar Nelakanti, Li‐Bin Liu, Zhongying Chen, Libin Liu, Payel Das, Shan Zhao, Zhongdi Cen, Zaitang Huang, Xiaohua Zhang and Cameron Campbell and has published in prestigious journals such as Journal of Computational Physics, Computers & Mathematics with Applications and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Guangqing Long i

Fields of papers citing papers by Guangqing Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangqing Long

Since Specialization
Citations

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