Wenying Wen

99 total papers · 1.9k total citations
78 papers, 1.5k citations indexed

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 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Wenying Wen's work include Chaos-based Image/Signal Encryption (34 papers), Advanced Steganography and Watermarking Techniques (33 papers) and Digital Media Forensic Detection (9 papers). Wenying Wen is often cited by papers focused on Chaos-based Image/Signal Encryption (34 papers), Advanced Steganography and Watermarking Techniques (33 papers) and Digital Media Forensic Detection (9 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, Yong Yang, Meng Li, Shuying Huang and Weiguo Wan and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and Optics Letters.

In The Last Decade

Wenying Wen

71 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wenying Wen 1.3k 277 207 190 145 78 1.5k
Liansheng Sui 1.4k 1.1× 283 1.0× 293 1.4× 109 0.6× 113 0.8× 61 1.5k
Joseph P. Noonan 949 0.7× 265 1.0× 122 0.6× 216 1.1× 177 1.2× 39 1.2k
Abderrahim Elmoataz 675 0.5× 297 1.1× 164 0.8× 201 1.1× 91 0.6× 83 1.2k
Lvchen Cao 948 0.7× 233 0.8× 66 0.3× 172 0.9× 92 0.6× 40 1.1k
Zhiqiu Xia 1.5k 1.1× 126 0.5× 218 1.1× 97 0.5× 100 0.7× 43 1.6k
Jianhua Wu 825 0.7× 234 0.8× 65 0.3× 76 0.4× 70 0.5× 72 1.3k
Long Bao 1.4k 1.1× 294 1.1× 69 0.3× 346 1.8× 229 1.6× 23 1.5k
Guoji Zhang 592 0.5× 441 1.6× 43 0.2× 185 1.0× 73 0.5× 51 1.1k
Qiwen Ran 1.0k 0.8× 206 0.7× 62 0.3× 72 0.4× 69 0.5× 62 1.4k
Daniel P. Robinson 429 0.3× 391 1.4× 141 0.7× 381 2.0× 24 0.2× 66 1.3k

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).

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.

Co-authorship network of co-authors of Wenying Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Wenying Wen. A scholar is included among the top collaborators of Wenying Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenying Wen. Wenying Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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