Ziyu Wan

58 total papers · 1.4k total citations
25 papers, 795 citations indexed

About

Ziyu Wan is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Ziyu Wan has authored 25 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Graphics and Computer-Aided Design and 6 papers in Artificial Intelligence. Recurrent topics in Ziyu Wan's work include Computer Graphics and Visualization Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Image Processing Techniques (4 papers). Ziyu Wan is often cited by papers focused on Computer Graphics and Visualization Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers) and Advanced Image Processing Techniques (4 papers). Ziyu Wan collaborates with scholars based in China, Hong Kong and United States. Ziyu Wan's co-authors include Jing Liao, Dongdong Chen, Jingbo Zhang, Yun Luo, Bao‐Liang Lu, Hongyu Liu, Xintong Han, Yibing Song, Wei Huang and Dong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Ziyu Wan

21 papers receiving 772 citations

Author Peers

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

Author Last Decade Papers Cites
Ziyu Wan 545 118 110 95 83 25 795
Yvan G. Leclerc 637 1.2× 102 0.9× 174 1.6× 109 1.1× 70 0.8× 19 972
Gaurav Garg 334 0.6× 146 1.2× 42 0.4× 46 0.5× 103 1.2× 28 708
Huiwen Chang 893 1.6× 138 1.2× 29 0.3× 87 0.9× 111 1.3× 18 1.0k
Heinz Hügli 662 1.2× 31 0.3× 149 1.4× 61 0.6× 72 0.9× 59 858
Dingzeyu Li 605 1.1× 70 0.6× 70 0.6× 55 0.6× 55 0.7× 19 822
Tom DeFanti 373 0.7× 173 1.5× 54 0.5× 64 0.7× 31 0.4× 37 908
Kevin Novins 561 1.0× 147 1.2× 58 0.5× 97 1.0× 82 1.0× 35 851
R. Bajcsy 435 0.8× 34 0.3× 162 1.5× 34 0.4× 129 1.6× 19 808
Zicheng Zhang 605 1.1× 68 0.6× 82 0.7× 213 2.2× 32 0.4× 79 1000
Siu‐Yeung Cho 604 1.1× 32 0.3× 42 0.4× 37 0.4× 116 1.4× 57 920

Countries citing papers authored by Ziyu Wan

Since Specialization
Citations

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

Fields of papers citing papers by Ziyu Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyu Wan

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