Wenying Wen

65 papers and 1.2k indexed citations i.

About

Wenying Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Wenying Wen has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Wenying Wen’s work include Chaos-based Image/Signal Encryption (30 papers), Advanced Steganography and Watermarking Techniques (27 papers) and Digital Media Forensic Detection (7 papers). Wenying Wen is often cited by papers focused on Chaos-based Image/Signal Encryption (30 papers), Advanced Steganography and Watermarking Techniques (27 papers) and Digital Media Forensic Detection (7 papers). Wenying Wen collaborates with scholars based in China, Australia and Hong Kong. Wenying Wen's co-authors include Yushu Zhang, Ming Li, Yuming Fang, Di Xiao, Zhijun Fang, Junxin Chen, Meng Li, Kwok‐Wo Wong, Hong Liu and Yong Yang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Optics Letters and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Wenying Wen i

Fields of papers citing papers by Wenying Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wenying Wen

Since Specialization
Citations

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