Xiaoyu Dong

107 total papers · 1.8k total citations
56 papers, 1.2k citations indexed

About

Xiaoyu Dong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaoyu Dong has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 11 papers in Media Technology and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaoyu Dong's work include Advanced Image Processing Techniques (10 papers), Advanced Neural Network Applications (8 papers) and Image Processing Techniques and Applications (7 papers). Xiaoyu Dong is often cited by papers focused on Advanced Image Processing Techniques (10 papers), Advanced Neural Network Applications (8 papers) and Image Processing Techniques and Applications (7 papers). Xiaoyu Dong collaborates with scholars based in China, Japan and United States. Xiaoyu Dong's co-authors include Longguang Wang, Wei An, Yingqian Wang, Yulan Guo, Xu Sun, Lianru Gao, Jungang Yang, Qingyu Xu, Bing Zhang and Xiuping Jia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemistry of Materials and Advanced Functional Materials.

In The Last Decade

Xiaoyu Dong

49 papers receiving 1.2k citations

Hit Papers

Unsupervised Degradation ... 2021 2026 2022 2024 2021 2023 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
Xiaoyu Dong 755 476 115 106 88 56 1.2k
Yucheng Zhu 981 1.3× 368 0.8× 51 0.4× 134 1.3× 57 0.6× 79 1.4k
Wu Wang 299 0.4× 333 0.7× 176 1.5× 247 2.3× 112 1.3× 41 944
Xiaogang Chen 718 1.0× 392 0.8× 23 0.2× 39 0.4× 49 0.6× 46 1.1k
Ziyi Shen 558 0.7× 185 0.4× 143 1.2× 95 0.9× 174 2.0× 45 1.2k
Ching-Chun Huang 443 0.6× 183 0.4× 66 0.6× 240 2.3× 121 1.4× 94 1.0k
Anwar M. Mirza 722 1.0× 203 0.4× 65 0.6× 63 0.6× 151 1.7× 81 1.3k
Haiyan Shi 396 0.5× 221 0.5× 332 2.9× 300 2.8× 186 2.1× 64 1.3k
Cheng Zhang 409 0.5× 218 0.5× 59 0.5× 72 0.7× 290 3.3× 71 1.1k
Achintya K. Bhowmik 389 0.5× 187 0.4× 196 1.7× 315 3.0× 95 1.1× 76 1.2k
Ci Wang 415 0.5× 98 0.2× 83 0.7× 139 1.3× 199 2.3× 88 921

Countries citing papers authored by Xiaoyu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Dong

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