Ling Guan

209 papers and 2.6k indexed citations i.

About

Ling Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ling Guan has authored 209 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 30 papers in Media Technology. Recurrent topics in Ling Guan’s work include Human Pose and Action Recognition (28 papers), Image Retrieval and Classification Techniques (27 papers) and Advanced Image and Video Retrieval Techniques (27 papers). Ling Guan is often cited by papers focused on Human Pose and Action Recognition (28 papers), Image Retrieval and Classification Techniques (27 papers) and Advanced Image and Video Retrieval Techniques (27 papers). Ling Guan collaborates with scholars based in Canada, China and Australia. Ling Guan's co-authors include Yongjin Wang, Yifeng He, Alagan Anpalagan, Ahmed Shaharyar Khwaja, Abhishek Gupta, Yun Tie, Lin Qi, Naimul Khan, Lei Gao and Ivan Lee and has published in prestigious journals such as Journal of Biological Chemistry, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Ling Guan i

Fields of papers citing papers by Ling Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Guan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025