Zhenyao Wu

43 total papers · 1.0k total citations
22 papers, 560 citations indexed

About

Zhenyao Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Zhenyao Wu has authored 22 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Media Technology. Recurrent topics in Zhenyao Wu's work include Image Enhancement Techniques (5 papers), Advanced Vision and Imaging (5 papers) and Machine Learning in Materials Science (3 papers). Zhenyao Wu is often cited by papers focused on Image Enhancement Techniques (5 papers), Advanced Vision and Imaging (5 papers) and Machine Learning in Materials Science (3 papers). Zhenyao Wu collaborates with scholars based in United States, China and Sri Lanka. Zhenyao Wu's co-authors include Song Wang, Xinyi Wu, Lili Ju, Hao Guo, Xiao–Ping Zhang, Hui Yin, Yang Mi, Ming Hu, Jinglin Zhang and Yong Zhao and has published in prestigious journals such as Nano Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Physical Chemistry A.

In The Last Decade

Zhenyao Wu

19 papers receiving 550 citations

Author Peers

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

Author Last Decade Papers Cites
Zhenyao Wu 371 99 86 61 35 22 560
Heng Luo 100 0.3× 82 0.8× 59 0.7× 56 0.9× 45 1.3× 35 545
Cheng Wang 376 1.0× 77 0.8× 49 0.6× 33 0.5× 20 0.6× 55 601
Yuxuan Zhang 294 0.8× 115 1.2× 57 0.7× 84 1.4× 10 0.3× 36 522
Luca Cosmo 333 0.9× 91 0.9× 30 0.3× 26 0.4× 8 0.2× 40 549
Antônio Wilson Vieira 332 0.9× 70 0.7× 21 0.2× 20 0.3× 25 0.7× 24 651
Seyed Majid Azimi 177 0.5× 49 0.5× 76 0.9× 130 2.1× 136 3.9× 24 546
Peng Sun 306 0.8× 120 1.2× 13 0.2× 77 1.3× 24 0.7× 45 573
Tomoki Uemura 245 0.7× 83 0.8× 67 0.8× 87 1.4× 15 0.4× 18 620
Hanqiang Cao 162 0.4× 87 0.9× 19 0.2× 52 0.9× 69 2.0× 38 626
Hui Zhang 128 0.3× 96 1.0× 65 0.8× 222 3.6× 30 0.9× 62 635

Countries citing papers authored by Zhenyao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyao Wu

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