Shaofan Cai

3 papers and 190 indexed citations i.

About

Shaofan Cai is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Media Technology. According to data from OpenAlex, Shaofan Cai has authored 3 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Biomedical Engineering and 1 paper in Media Technology. Recurrent topics in Shaofan Cai’s work include Gait Recognition and Analysis (1 paper), Image Enhancement Techniques (1 paper) and Image Processing Techniques and Applications (1 paper). Shaofan Cai is often cited by papers focused on Gait Recognition and Analysis (1 paper), Image Enhancement Techniques (1 paper) and Image Processing Techniques and Applications (1 paper). Shaofan Cai collaborates with scholars based in China, Hong Kong and United States. Shaofan Cai's co-authors include Yu Liu, Biao Leng, Guanglu Song, Haoqiang Fan, Jiaming Liu, Jue Wang, Haibin Huang, Xiaoshuai Zhang, Jian Sun and Jiaying Liu and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Proceedings of the AAAI Conference on Artificial Intelligence and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Shaofan Cai i

Fields of papers citing papers by Shaofan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaofan Cai

Since Specialization
Citations

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