Shunquan Tan

51 papers and 1.7k indexed citations i.

About

Shunquan Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shunquan Tan has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Shunquan Tan’s work include Digital Media Forensic Detection (45 papers), Advanced Steganography and Watermarking Techniques (38 papers) and Generative Adversarial Networks and Image Synthesis (20 papers). Shunquan Tan is often cited by papers focused on Digital Media Forensic Detection (45 papers), Advanced Steganography and Watermarking Techniques (38 papers) and Generative Adversarial Networks and Image Synthesis (20 papers). Shunquan Tan collaborates with scholars based in China, United States and Singapore. Shunquan Tan's co-authors include Bin Li, Jiwu Huang, Weixuan Tang, Haodong Li, Xiaolong Li, Mauro Barni, Jiwu Huang, Bin Li, Wang Ming and Bin Li and has published in prestigious journals such as ACS Nano, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Shunquan Tan i

Fields of papers citing papers by Shunquan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shunquan Tan

Since Specialization
Citations

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