Yangyang Xu

69 total papers · 866 total citations
37 papers, 595 citations indexed

About

Yangyang Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yangyang Xu has authored 37 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Yangyang Xu's work include Generative Adversarial Networks and Image Synthesis (7 papers), Image Enhancement Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Yangyang Xu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Image Enhancement Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Yangyang Xu collaborates with scholars based in China, Hong Kong and Singapore. Yangyang Xu's co-authors include Shengfeng He, Xuemiao Xu, Lijie Zhu, He Liu, Shengnan Wang, Xiuying Liu, Lina Yang, Xiaowei Hu, Pheng‐Ann Heng and Long Zhang and has published in prestigious journals such as Food Chemistry, IEEE Transactions on Image Processing and Journal of the American Ceramic Society.

In The Last Decade

Yangyang Xu

34 papers receiving 585 citations

Author Peers

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

Author						Papers	Cites
Yangyang Xu	242	136	134	131	58	37	595
Saulo Martiello Mastelini	77 0.3×	98 0.7×	116 0.9×	27 0.2×	74 1.3×	31	596
Wenjing Li	43 0.2×	86 0.6×	73 0.5×	109 0.8×	10 0.2×	55	577
Jianyi Zhang	74 0.3×	61 0.4×	183 1.4×	5 0.0×	19 0.3×	70	653
Rui Li	42 0.2×	56 0.4×	65 0.5×	154 1.2×	3 0.1×	40	654
Xiukai Ruan	66 0.3×	45 0.3×	67 0.5×	14 0.1×	8 0.1×	60	679
Lijun Sun	121 0.5×	109 0.8×	91 0.7×	20 0.2×		60	539
Zimu Li	59 0.2×	123 0.9×	84 0.6×	32 0.2×		55	590
Jiaheng Li	57 0.2×	171 1.3×	42 0.3×	33 0.3×	4 0.1×	51	680
Masayuki Nakajima	299 1.2×	68 0.5×	42 0.3×	5 0.0×	4 0.1×	72	557
Yuxuan Shi	247 1.0×	58 0.4×	94 0.7×	41 0.3×		52	584

Countries citing papers authored by Yangyang Xu

Since Specialization

Citations

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

Fields of papers citing papers by Yangyang Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangyang Xu

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