Shurui Gui

829 total citations · 1 hit paper
3 papers, 357 citations indexed

About

Shurui Gui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Shurui Gui has authored 3 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Shurui Gui's work include Advanced Graph Neural Networks (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Advanced Vision and Imaging (1 paper). Shurui Gui is often cited by papers focused on Advanced Graph Neural Networks (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Advanced Vision and Imaging (1 paper). Shurui Gui collaborates with scholars based in China, United States and Australia. Shurui Gui's co-authors include Hao Yuan, Shuiwang Ji, Haiyang Yu, Dacheng Tao, Chaoyue Wang, Jie Wang, Kang Li and Qicheng Lao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Shurui Gui

3 papers receiving 343 citations

Hit Papers

Explainability in Graph Neural Networks: A Taxonomic Survey 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shurui Gui China 3 227 75 36 34 31 3 357
Tianle Cai China 4 157 0.7× 73 1.0× 31 0.9× 40 1.2× 47 1.5× 7 278
Chunjie Wang China 4 185 0.8× 69 0.9× 43 1.2× 27 0.8× 34 1.1× 11 296
Chengxuan Ying China 1 143 0.6× 65 0.9× 28 0.8× 39 1.1× 46 1.5× 2 248
Qingqing Long China 9 216 1.0× 89 1.2× 51 1.4× 19 0.6× 18 0.6× 19 329
Ziyue Huang China 7 204 0.9× 128 1.7× 32 0.9× 25 0.7× 23 0.7× 15 377
Song Bian China 4 119 0.5× 75 1.0× 28 0.8× 14 0.4× 19 0.6× 4 209
Jinjing Zhou China 4 284 1.3× 161 2.1× 47 1.3× 35 1.0× 21 0.7× 5 391
Ziyue Qiao China 8 173 0.8× 46 0.6× 39 1.1× 7 0.2× 14 0.5× 24 246
Yiwei Wang Singapore 7 203 0.9× 46 0.6× 50 1.4× 13 0.4× 10 0.3× 14 262
Bingbing Xu China 8 197 0.9× 65 0.9× 49 1.4× 8 0.2× 10 0.3× 18 303

Countries citing papers authored by Shurui Gui

Since Specialization
Citations

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

Fields of papers citing papers by Shurui Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shurui Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Shurui Gui. A scholar is included among the top collaborators of Shurui Gui 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 Shurui Gui. Shurui Gui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Gui, Shurui, Hao Yuan, Jie Wang, et al.. (2023). FlowX: Towards Explainable Graph Neural Networks via Message Flows. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 4567–4578. 3 indexed citations
2.
Yuan, Hao, Haiyang Yu, Shurui Gui, & Shuiwang Ji. (2022). Explainability in Graph Neural Networks: A Taxonomic Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–19. 307 indexed citations breakdown →
3.
Gui, Shurui, et al.. (2020). FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation. 14001–14010. 47 indexed citations

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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