Shujun Wang

88 total papers · 3.5k total citations
28 papers, 677 citations indexed

About

Shujun Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Shujun Wang has authored 28 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Shujun Wang's work include Medical Image Segmentation Techniques (4 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Shujun Wang is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Shujun Wang collaborates with scholars based in China, Hong Kong and United States. Shujun Wang's co-authors include Lequan Yu, Pheng‐Ann Heng, Chi‐Wing Fu, Xin Yang, Kang Li, Xinjuan Fan, Huangjing Lin, Yaxi Zhu, Hao Chen and Xiang‐Bo Wan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and IEEE Transactions on Medical Imaging.

In The Last Decade

Shujun Wang

25 papers receiving 664 citations

Author Peers

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

Author Last Decade Papers Cites
Shujun Wang 397 299 259 131 101 28 677
K. Gopalakrishna Prabhu 179 0.5× 145 0.5× 181 0.7× 107 0.8× 180 1.8× 40 724
Georgios C. Manikis 476 1.2× 135 0.5× 109 0.4× 129 1.0× 71 0.7× 65 775
Chao Chen 240 0.6× 268 0.9× 212 0.8× 22 0.2× 32 0.3× 58 690
Yoshikazu Uchiyama 366 0.9× 184 0.6× 238 0.9× 27 0.2× 95 0.9× 50 687
Dayong Ding 276 0.7× 55 0.2× 115 0.4× 213 1.6× 37 0.4× 54 780
Changyang Li 153 0.4× 207 0.7× 389 1.5× 41 0.3× 97 1.0× 35 728
Benoît Schmauch 443 1.1× 363 1.2× 68 0.3× 26 0.2× 35 0.3× 14 746
P.E. Undrill 328 0.8× 117 0.4× 247 1.0× 153 1.2× 92 0.9× 35 697
Kamil Říha 237 0.6× 119 0.4× 328 1.3× 115 0.9× 103 1.0× 68 664
Sivan Lieberman 230 0.6× 140 0.5× 86 0.3× 57 0.4× 39 0.4× 29 710

Countries citing papers authored by Shujun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shujun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujun Wang

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