Yu Qiao

115 total papers · 2.4k total citations
53 papers, 794 citations indexed

About

Yu Qiao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Molecular Biology. According to data from OpenAlex, Yu Qiao has authored 53 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 8 papers in Molecular Biology. Recurrent topics in Yu Qiao's work include 3D Shape Modeling and Analysis (11 papers), 3D Surveying and Cultural Heritage (7 papers) and Advanced Neural Network Applications (5 papers). Yu Qiao is often cited by papers focused on 3D Shape Modeling and Analysis (11 papers), 3D Surveying and Cultural Heritage (7 papers) and Advanced Neural Network Applications (5 papers). Yu Qiao collaborates with scholars based in China, Hong Kong and Saudi Arabia. Yu Qiao's co-authors include Mingye Xu, Zhipeng Zhou, Min Chen, Junhao Zhang, Xiaojuan Qi, Mutian Xu, Hongsheng Li, Peng Gao, Yali Wang and Liuhui Wang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Yu Qiao

48 papers receiving 778 citations

Author Peers

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

Author Last Decade Papers Cites
Yu Qiao 225 191 146 131 108 53 794
Chaoyi Zhang 240 1.1× 180 0.9× 109 0.7× 157 1.2× 73 0.7× 57 755
Wei Wu 281 1.2× 255 1.3× 218 1.5× 121 0.9× 112 1.0× 65 935
Hao Su 285 1.3× 120 0.6× 45 0.3× 96 0.7× 209 1.9× 46 856
Zichun Zhong 240 1.1× 373 2.0× 181 1.2× 66 0.5× 21 0.2× 54 941
Manuela Pereira 538 2.4× 134 0.7× 41 0.3× 143 1.1× 43 0.4× 79 861
Fuqiang Zhao 564 2.5× 279 1.5× 41 0.3× 36 0.3× 88 0.8× 34 862
Soon-Yong Park 459 2.0× 42 0.2× 225 1.5× 31 0.2× 70 0.6× 119 932
Ruomei Wang 243 1.1× 91 0.5× 23 0.2× 74 0.6× 191 1.8× 95 953
Tao Luo 314 1.4× 80 0.4× 21 0.1× 90 0.7× 74 0.7× 107 1.0k
Yueyi Zhang 561 2.5× 44 0.2× 59 0.4× 79 0.6× 87 0.8× 103 1000

Countries citing papers authored by Yu Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Qiao

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