Ge Li

18 papers and 80 indexed citations i.

About

Ge Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Ge Li has authored 18 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in Ge Li’s work include Advanced Vision and Imaging (5 papers), 3D Shape Modeling and Analysis (5 papers) and Computer Graphics and Visualization Techniques (3 papers). Ge Li is often cited by papers focused on Advanced Vision and Imaging (5 papers), 3D Shape Modeling and Analysis (5 papers) and Computer Graphics and Visualization Techniques (3 papers). Ge Li collaborates with scholars based in China and United States. Ge Li's co-authors include Thomas H. Li, Shan Liu, Yurui Ren, Ruonan Zhang, Xingyu Chen, Yuanqi Chen, Chunwei Tian, Kan Huang, Xiaoming Yu and Xiang Yuan and has published in prestigious journals such as The Astronomical Journal, Sensors and International Journal of Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Ge Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Li

Since Specialization
Citations

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