Qingna Li

28 papers and 306 indexed citations i.

About

Qingna Li is a scholar working on Computational Mechanics, Numerical Analysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qingna Li has authored 28 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 10 papers in Numerical Analysis and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qingna Li’s work include Sparse and Compressive Sensing Techniques (11 papers), Advanced Optimization Algorithms Research (10 papers) and Matrix Theory and Algorithms (6 papers). Qingna Li is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Advanced Optimization Algorithms Research (10 papers) and Matrix Theory and Algorithms (6 papers). Qingna Li collaborates with scholars based in China, United Kingdom and United States. Qingna Li's co-authors include Houduo Qi, Hua Han, Qingji Xie, Donghui Li, Wenli Zhou, Shixun Lian, Liping Yu, Sunqi Lou, Robert Wang and Yanling Zhao and has published in prestigious journals such as The Journal of Physical Chemistry Letters, Materials Letters and Energies.

In The Last Decade

Co-authorship network of co-authors of Qingna Li i

Fields of papers citing papers by Qingna Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qingna Li

Since Specialization
Citations

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