Shangwei Guo

99 total papers · 1.3k total citations
52 papers, 667 citations indexed

About

Shangwei Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Shangwei Guo has authored 52 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. Recurrent topics in Shangwei Guo's work include Adversarial Robustness in Machine Learning (18 papers), Digital Media Forensic Detection (10 papers) and Advanced Steganography and Watermarking Techniques (10 papers). Shangwei Guo is often cited by papers focused on Adversarial Robustness in Machine Learning (18 papers), Digital Media Forensic Detection (10 papers) and Advanced Steganography and Watermarking Techniques (10 papers). Shangwei Guo collaborates with scholars based in China, Singapore and Hong Kong. Shangwei Guo's co-authors include Tao Xiang, Tianwei Zhang, Han Qiu, Yang Liu, Ying Yang, Yi Zeng, Meikang Qiu, Bhavani Thuraisingham, Tao Xiang and Jiwei Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Information Sciences.

In The Last Decade

Shangwei Guo

46 papers receiving 656 citations

Author Peers

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

Author Last Decade Papers Cites
Shangwei Guo 381 290 102 85 60 52 667
Hongyi Chen 204 0.5× 282 1.0× 139 1.4× 87 1.0× 50 0.8× 70 595
Yanzhao Wu 383 1.0× 140 0.5× 140 1.4× 102 1.2× 54 0.9× 48 664
Lianhua Chi 359 0.9× 136 0.5× 84 0.8× 90 1.1× 127 2.1× 56 646
Wenting Zheng 405 1.1× 94 0.3× 126 1.2× 42 0.5× 113 1.9× 41 616
Yin Li 316 0.8× 159 0.5× 156 1.5× 33 0.4× 120 2.0× 68 575
Jie Ling 297 0.8× 244 0.8× 224 2.2× 106 1.2× 210 3.5× 73 733
Jun Lang 142 0.4× 536 1.8× 72 0.7× 66 0.8× 26 0.4× 53 781
Claudia Feregrino-Uribe 309 0.8× 282 1.0× 186 1.8× 98 1.2× 94 1.6× 80 616
Wenfang Zhang 282 0.7× 255 0.9× 206 2.0× 75 0.9× 218 3.6× 61 736
Zheng Huang 269 0.7× 244 0.8× 143 1.4× 88 1.0× 154 2.6× 61 760

Countries citing papers authored by Shangwei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shangwei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangwei Guo

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