Yuewei Dai

105 papers and 1.4k indexed citations i.

About

Yuewei Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yuewei Dai has authored 105 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 48 papers in Artificial Intelligence and 23 papers in Computer Networks and Communications. Recurrent topics in Yuewei Dai’s work include Advanced Steganography and Watermarking Techniques (34 papers), Digital Media Forensic Detection (25 papers) and Internet Traffic Analysis and Secure E-voting (20 papers). Yuewei Dai is often cited by papers focused on Advanced Steganography and Watermarking Techniques (34 papers), Digital Media Forensic Detection (25 papers) and Internet Traffic Analysis and Secure E-voting (20 papers). Yuewei Dai collaborates with scholars based in China, United States and South Korea. Yuewei Dai's co-authors include Guangjie Liu, Huawang Qin, Liang Shan, Lu Chang, Weiwei Liu, Bo Xu, Jiangtao Zhai, Wang Junwen, Chao Jiang and Junwen Wang and has published in prestigious journals such as PLoS ONE, IEEE Access and IEEE Transactions on Smart Grid.

In The Last Decade

Co-authorship network of co-authors of Yuewei Dai i

Fields of papers citing papers by Yuewei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuewei Dai

Since Specialization
Citations

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