Yanghui Yan

9 total papers · 2.1k total citations
6 papers, 1.2k citations indexed

About

Yanghui Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Yanghui Yan has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biomedical Engineering. Recurrent topics in Yanghui Yan's work include Medical Imaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers) and Medical Image Segmentation Techniques (2 papers). Yanghui Yan is often cited by papers focused on Medical Imaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers) and Medical Image Segmentation Techniques (2 papers). Yanghui Yan collaborates with scholars based in China and Iran. Yanghui Yan's co-authors include Zhu Han, Xiaoqiang Zhu, Junqi Jin, Guorui Zhou, Kun Gai, Ying Fan, Han Li, Xiao Ma, Aolin Yang and Xiang Zhao and has published in prestigious journals such as Physics in Medicine and Biology, Applied Sciences and Computers in Biology and Medicine.

In The Last Decade

Yanghui Yan

6 papers receiving 1.1k citations

Hit Papers

Deep Interest Network for... 2018 2026 2020 2023 2018 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
Yanghui Yan 958 624 401 232 168 6 1.2k
Xiao Ma 1.1k 1.2× 751 1.2× 462 1.2× 286 1.2× 192 1.1× 7 1.3k
Joaquin Quiñonero Candela 378 0.4× 659 1.1× 245 0.6× 234 1.0× 116 0.7× 9 1.2k
Xinyang Yi 762 0.8× 782 1.3× 351 0.9× 229 1.0× 108 0.6× 18 1.3k
Dietmar Ebner 420 0.4× 532 0.9× 215 0.5× 184 0.8× 207 1.2× 12 1.1k
Robert Ragno 730 0.8× 474 0.8× 260 0.6× 172 0.7× 147 0.9× 8 1.2k
Pipei Huang 648 0.7× 547 0.9× 297 0.7× 119 0.5× 125 0.7× 10 943
Ou Jin 464 0.5× 608 1.0× 224 0.6× 104 0.4× 110 0.7× 16 1.1k
Yanru Qu 469 0.5× 771 1.2× 469 1.2× 77 0.3× 85 0.5× 15 1.2k
Jinoh Oh 811 0.8× 660 1.1× 324 0.8× 133 0.6× 153 0.9× 30 1.1k
Erheng Zhong 371 0.4× 585 0.9× 292 0.7× 101 0.4× 89 0.5× 28 1.1k

Countries citing papers authored by Yanghui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yanghui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanghui Yan

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