Fang Li

128 papers and 1.8k indexed citations i.

About

Fang Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics. According to data from OpenAlex, Fang Li has authored 128 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 34 papers in Media Technology and 25 papers in Computational Mechanics. Recurrent topics in Fang Li’s work include Image and Signal Denoising Methods (45 papers), Advanced Image Processing Techniques (25 papers) and Advanced Image Fusion Techniques (21 papers). Fang Li is often cited by papers focused on Image and Signal Denoising Methods (45 papers), Advanced Image Processing Techniques (25 papers) and Advanced Image Fusion Techniques (21 papers). Fang Li collaborates with scholars based in China, United States and Hong Kong. Fang Li's co-authors include Guixu Zhang, Faming Fang, Michael K. Ng, Peixuan Zhang, Chaomin Shen, Xiao-Guang Lv, Zhibin Li, Tieyong Zeng, Zhihao Gu and Ruizhi Hou and has published in prestigious journals such as Physical Review Letters, Environmental Science & Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by Fang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Li

Since Specialization
Citations

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