Ziqi Yu

35 total papers · 583 total citations
14 papers, 164 citations indexed

About

Ziqi Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ziqi Yu has authored 14 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ziqi Yu's work include Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Image Segmentation Techniques (3 papers). Ziqi Yu is often cited by papers focused on Advanced Neural Network Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Image Segmentation Techniques (3 papers). Ziqi Yu collaborates with scholars based in China, Germany and United States. Ziqi Yu's co-authors include Xiao‐Yong Zhang, Yun Q. Shi, Wei Su, Shengjie Zhang, Xiaoyang Han, Xiang Chen, Dinggang Shen, Tingying Peng, Ziwei Nie and Guoqiang Dong and has published in prestigious journals such as IEEE Transactions on Medical Imaging, eLife and Medical Image Analysis.

In The Last Decade

Ziqi Yu

14 papers receiving 162 citations

Author Peers

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

Author Last Decade Papers Cites
Ziqi Yu 91 73 45 28 21 14 164
Dianwen Ng 84 0.9× 147 2.0× 33 0.7× 10 0.4× 10 0.5× 22 249
Pir Masoom Shah 101 1.1× 73 1.0× 54 1.2× 7 0.3× 79 3.8× 11 265
Pedro Morgado 47 0.5× 109 1.5× 120 2.7× 46 1.6× 36 1.7× 11 254
Zuojin Hu 66 0.7× 76 1.0× 63 1.4× 5 0.2× 20 1.0× 19 201
Mario Alejandro Bravo-Ortíz 71 0.8× 82 1.1× 97 2.2× 15 0.5× 31 1.5× 15 264
Lu Zhang 92 1.0× 72 1.0× 14 0.3× 87 3.1× 24 1.1× 21 238
Adrià Casamitjana 52 0.6× 23 0.3× 36 0.8× 18 0.6× 20 1.0× 15 118
Nicola K. Dinsdale 105 1.2× 82 1.1× 44 1.0× 79 2.8× 39 1.9× 15 266
Constantin Seibold 83 0.9× 120 1.6× 125 2.8× 7 0.3× 27 1.3× 22 241
Xuedong Yuan 65 0.7× 38 0.5× 62 1.4× 7 0.3× 20 1.0× 14 206

Countries citing papers authored by Ziqi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ziqi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziqi Yu

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