Yunmei Chen

238 total papers · 6.4k total citations
144 papers, 4.1k citations indexed

About

Yunmei Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Yunmei Chen has authored 144 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 49 papers in Radiology, Nuclear Medicine and Imaging and 38 papers in Computational Mechanics. Recurrent topics in Yunmei Chen's work include Medical Imaging Techniques and Applications (36 papers), Medical Image Segmentation Techniques (35 papers) and Advanced MRI Techniques and Applications (32 papers). Yunmei Chen is often cited by papers focused on Medical Imaging Techniques and Applications (36 papers), Medical Image Segmentation Techniques (35 papers) and Advanced MRI Techniques and Applications (32 papers). Yunmei Chen collaborates with scholars based in United States, China and Italy. Yunmei Chen's co-authors include Murali Rao, Stacey Levine, Olivier Faugeras, Nikos Paragios, Michaël Struwe, Xiaojing Ye, Yuyuan Ouyang, Guanghui Lan, Feng Huang and Hemant D. Tagare and has published in prestigious journals such as PLoS ONE, Diabetes and Endocrinology.

In The Last Decade

Yunmei Chen

136 papers receiving 3.8k citations

Hit Papers

Variable Exponent, Linear... 2006 2026 2012 2019 2006 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Yunmei Chen 1.6k 1.2k 1.2k 850 770 144 4.1k
Changfeng Gui 1.7k 1.1× 1.4k 1.1× 2.1k 1.8× 666 0.8× 269 0.3× 83 5.0k
R. J. Duffin 1.7k 1.1× 1.4k 1.2× 562 0.5× 685 0.8× 468 0.6× 123 4.7k
Daniela Calvetti 458 0.3× 987 0.8× 450 0.4× 773 0.9× 779 1.0× 178 3.8k
Sigurd Angenent 1.6k 1.0× 896 0.8× 514 0.4× 669 0.8× 682 0.9× 69 4.0k
Charles K. Chui 983 0.6× 630 0.5× 4.3k 3.7× 540 0.6× 823 1.1× 111 6.5k
Heinz W. Engl 1.0k 0.7× 1.1k 0.9× 679 0.6× 3.4k 4.0× 1.2k 1.6× 88 5.9k
Pierre-Louis Lions 2.3k 1.5× 1.5k 1.3× 2.0k 1.7× 1.6k 1.9× 1.1k 1.4× 24 5.8k
Gabriel Peyré 600 0.4× 468 0.4× 2.5k 2.1× 437 0.5× 1.9k 2.5× 107 6.1k
Yves Meyer 4.2k 2.7× 751 0.6× 2.6k 2.2× 2.4k 2.9× 1.0k 1.3× 98 7.5k
Dianne P. O’Leary 738 0.5× 1.7k 1.4× 1.2k 1.0× 1.3k 1.5× 1.7k 2.2× 169 8.3k

Countries citing papers authored by Yunmei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yunmei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunmei Chen

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