Shanyu Tang

40 total papers · 970 total citations
34 papers, 740 citations indexed

About

Shanyu Tang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shanyu Tang has authored 34 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shanyu Tang's work include Advanced Steganography and Watermarking Techniques (12 papers), Advanced Authentication Protocols Security (11 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Shanyu Tang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (12 papers), Advanced Authentication Protocols Security (11 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Shanyu Tang collaborates with scholars based in China, United Kingdom and United States. Shanyu Tang's co-authors include Liping Zhang, Yongfeng Huang, Jian Yuan, Bo Xiao, Sen Bai, Chenghao Liu, Muzhou Xiong, Yijing Jiang, Dan Zhao and Jun Song and has published in prestigious journals such as PLoS ONE, Information Sciences and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Shanyu Tang

33 papers receiving 700 citations

Author Peers

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

Author Last Decade Papers Cites
Shanyu Tang 389 313 276 241 95 34 740
Ke Wang 249 0.6× 299 1.0× 313 1.1× 387 1.6× 224 2.4× 44 903
Ashfaq A. Khokhar 338 0.9× 210 0.7× 273 1.0× 110 0.5× 146 1.5× 31 728
Xiaochun Yin 122 0.3× 269 0.9× 407 1.5× 212 0.9× 79 0.8× 29 708
Xiang Ji 138 0.4× 278 0.9× 264 1.0× 146 0.6× 73 0.8× 38 649
Mou Dasgupta 86 0.2× 284 0.9× 484 1.8× 407 1.7× 66 0.7× 46 754
Haodong Wang 118 0.3× 241 0.8× 689 2.5× 203 0.8× 92 1.0× 41 874
Miao Hu 251 0.6× 160 0.5× 275 1.0× 107 0.4× 118 1.2× 66 663
Hauke Petersen 115 0.3× 233 0.7× 332 1.2× 162 0.7× 50 0.5× 26 620
Riccardo Lazzeretti 282 0.7× 368 1.2× 183 0.7× 270 1.1× 269 2.8× 38 775
Ali Şaman Tosun 233 0.6× 226 0.7× 530 1.9× 146 0.6× 323 3.4× 66 838

Countries citing papers authored by Shanyu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shanyu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanyu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shanyu Tang. A scholar is included among the top collaborators of Shanyu Tang 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 Shanyu Tang. Shanyu Tang 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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