Shiao Xie

17 total papers · 538 total citations
11 papers, 313 citations indexed

About

Shiao Xie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shiao Xie has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shiao Xie's work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and AI in cancer detection (5 papers). Shiao Xie is often cited by papers focused on Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and AI in cancer detection (5 papers). Shiao Xie collaborates with scholars based in Japan, China and Canada. Shiao Xie's co-authors include Lanfen Lin, Yen‐Wei Chen, Ruofeng Tong, Xian‐Hua Han, Yutaro Iwamoto, Hongyi Wang, Huimin Huang, Yefeng Zheng, Yuexiang Li and Yawen Huang and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Shiao Xie

11 papers receiving 313 citations

Hit Papers

Mixed Transformer U-Net f... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shiao Xie 219 107 101 85 46 11 313
Jieru Mei 164 0.7× 90 0.8× 89 0.9× 51 0.6× 45 1.0× 10 336
Annegreet van Opbroek 138 0.6× 157 1.5× 114 1.1× 60 0.7× 36 0.8× 11 353
Hanxue Gu 134 0.6× 97 0.9× 133 1.3× 37 0.4× 62 1.3× 11 355
Haoyu Dong 134 0.6× 97 0.9× 120 1.2× 36 0.4× 51 1.1× 8 341
Hui Cui 193 0.9× 117 1.1× 162 1.6× 70 0.8× 45 1.0× 7 327
Yeqi Bai 112 0.5× 131 1.2× 102 1.0× 78 0.9× 45 1.0× 6 319
Hossein Kashiani 172 0.8× 139 1.3× 100 1.0× 48 0.6× 29 0.6× 15 330
Hongchun Lu 163 0.7× 119 1.1× 96 1.0× 50 0.6× 37 0.8× 13 298
Kai Han 166 0.8× 113 1.1× 106 1.0× 45 0.5× 43 0.9× 20 332
Chengrui Gao 147 0.7× 76 0.7× 59 0.6× 37 0.4× 52 1.1× 8 236

Countries citing papers authored by Shiao Xie

Since Specialization
Citations

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

Fields of papers citing papers by Shiao Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiao Xie

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