Min Wu

219 papers and 5.4k indexed citations i.

About

Min Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Min Wu has authored 219 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Computer Vision and Pattern Recognition, 40 papers in Signal Processing and 34 papers in Electrical and Electronic Engineering. Recurrent topics in Min Wu’s work include Digital Media Forensic Detection (75 papers), Advanced Steganography and Watermarking Techniques (73 papers) and Chaos-based Image/Signal Encryption (47 papers). Min Wu is often cited by papers focused on Digital Media Forensic Detection (75 papers), Advanced Steganography and Watermarking Techniques (73 papers) and Chaos-based Image/Signal Encryption (47 papers). Min Wu collaborates with scholars based in United States, China and Japan. Min Wu's co-authors include K. J. Ray Liu, Yinian Mao, Ashwin Swaminathan, Jinhua She, A. Swaminathan, Avinash L. Varna, Yong He, Ravi Garg, Yong He and Bede Liu and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Min Wu i

Fields of papers citing papers by Min Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Wu

Since Specialization
Citations

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