Songnan Li

30 papers and 707 indexed citations i.

About

Songnan Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Songnan Li has authored 30 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 5 papers in Signal Processing. Recurrent topics in Songnan Li’s work include Image and Video Quality Assessment (15 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Processing Techniques (7 papers). Songnan Li is often cited by papers focused on Image and Video Quality Assessment (15 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Processing Techniques (7 papers). Songnan Li collaborates with scholars based in Hong Kong, China and Malaysia. Songnan Li's co-authors include King Ngi Ngan, Lin Ma, Fan Zhang, Fan Zhang, Ran Shi, Raveendran Paramesran, Lu Sheng, Yajing Chen, Linchao Bao and Yonggen Ling and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Songnan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songnan Li

Since Specialization
Citations

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