Shuyue Guan

48 total papers · 964 total citations
27 papers, 544 citations indexed

About

Shuyue Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shuyue Guan has authored 27 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shuyue Guan's work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced Neural Network Applications (6 papers). Shuyue Guan is often cited by papers focused on AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced Neural Network Applications (6 papers). Shuyue Guan collaborates with scholars based in United States and China. Shuyue Guan's co-authors include Murray H. Loew, Ange Lou, Hanseok Ko, Narine Sarvazyan, Huda Asfour, Luther Swift, Hongbo Mu, Ravi K. Samala, Dawei Qi and Weijie Chen and has published in prestigious journals such as Computers in Biology and Medicine, Biomedical Optics Express and Applied Intelligence.

In The Last Decade

Shuyue Guan

25 papers receiving 529 citations

Author Peers

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

Author Last Decade Papers Cites
Shuyue Guan 259 255 227 68 59 27 544
Yixin Li 364 1.4× 201 0.8× 167 0.7× 65 1.0× 40 0.7× 19 570
Hyunseok Seo 243 0.9× 262 1.0× 311 1.4× 50 0.7× 81 1.4× 36 559
Ziming Wang 326 1.3× 180 0.7× 179 0.8× 46 0.7× 48 0.8× 32 609
Liyang Wei 348 1.3× 196 0.8× 259 1.1× 27 0.4× 66 1.1× 25 579
Wanli Liu 371 1.4× 204 0.8× 201 0.9× 57 0.8× 57 1.0× 23 619
Farhan Akram 244 0.9× 147 0.6× 224 1.0× 91 1.3× 38 0.6× 31 494
Sidratul Montaha 212 0.8× 156 0.6× 130 0.6× 35 0.5× 48 0.8× 32 461
Andrik Rampun 496 1.9× 400 1.6× 200 0.9× 29 0.4× 50 0.8× 20 611
Umut Özkaya 205 0.8× 155 0.6× 104 0.5× 121 1.8× 83 1.4× 28 603
Edwin Valarezo Añazco 337 1.3× 268 1.1× 162 0.7× 30 0.4× 91 1.5× 24 582

Countries citing papers authored by Shuyue Guan

Since Specialization
Citations

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

Fields of papers citing papers by Shuyue Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyue Guan

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