Enyu Zhou

27 total papers · 674 total citations
5 papers, 75 citations indexed

About

Enyu Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Enyu Zhou has authored 5 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Hardware and Architecture. Recurrent topics in Enyu Zhou's work include Image Enhancement Techniques (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Image Processing Techniques (2 papers). Enyu Zhou is often cited by papers focused on Image Enhancement Techniques (2 papers), Advanced Vision and Imaging (2 papers) and Advanced Image Processing Techniques (2 papers). Enyu Zhou collaborates with scholars based in United States, China and Netherlands. Enyu Zhou's co-authors include Dimitris Metaxas, Shiyu Zhao, L. Zhao, Qi Zhang, Yan Liu, Zhiheng Xi, Shihan Dou, Chenyang Liu, Weiming Shen and Shiliang Pu and has published in prestigious journals such as Science China Information Sciences and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Enyu Zhou

4 papers receiving 75 citations

Author Peers

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

Author						Papers	Cites
Enyu Zhou	56	14	14	7	5	5	75
Bedirhan Uzun	38 0.7×	16 1.1×	13 0.9×	3 0.4×	4 0.8×	7	58
Elias Grinias	43 0.8×	16 1.1×	7 0.5×	10 1.4×	4 0.8×	3	67
Manyuan Zhang	80 1.4×	8 0.6×	16 1.1×	12 1.7×	6 1.2×	4	95
Ming-Hsuan Yang	89 1.6×	11 0.8×	20 1.4×	11 1.6×	6 1.2×	5	104
Weilai Xiang	25 0.4×	14 1.0×	10 0.7×	4 0.6×	9 1.8×	6	48
Nikita Dvornik	54 1.0×	26 1.9×	6 0.4×	5 0.7×	2 0.4×	6	73
Shaochuan Zhao	49 0.9×	11 0.8×	12 0.9×	9 1.3×	1 0.2×	7	62
Gyuri Dorkó	99 1.8×	20 1.4×	24 1.7×	15 2.1×	3 0.6×	5	110
Aravind Kalaiah	109 1.9×	19 1.4×	10 0.7×	4 0.6×	3 0.6×	6	216
C.G. Yang	50 0.9×	13 0.9×	9 0.6×	6 0.9×		5	67

Countries citing papers authored by Enyu Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Enyu Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enyu Zhou

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