Michael K. Yeung

54 total papers · 1.3k total citations
46 papers, 896 citations indexed

About

Michael K. Yeung is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Michael K. Yeung has authored 46 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Psychiatry and Mental health. Recurrent topics in Michael K. Yeung's work include Optical Imaging and Spectroscopy Techniques (20 papers), Neural and Behavioral Psychology Studies (15 papers) and Functional Brain Connectivity Studies (15 papers). Michael K. Yeung is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (20 papers), Neural and Behavioral Psychology Studies (15 papers) and Functional Brain Connectivity Studies (15 papers). Michael K. Yeung collaborates with scholars based in Hong Kong, Canada and Australia. Michael K. Yeung's co-authors include Agnes S. Chan, Tsz‐lok Lee, Yvonne M. Y. Han, Jingxia Lin, Sophia L. Sze, David Shum, Michael R. Hamblin, Timothy Kwok, Ruby Yu and Jean Woo and has published in prestigious journals such as NeuroImage, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Michael K. Yeung

42 papers receiving 887 citations

Author Peers

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

Author Last Decade Papers Cites
Michael K. Yeung 513 357 198 185 109 46 896
Bun Yamagata 530 1.0× 279 0.8× 273 1.4× 132 0.7× 75 0.7× 51 999
Takayuki Nakahachi 676 1.3× 114 0.3× 271 1.4× 92 0.5× 47 0.4× 35 965
Genta Ochi 326 0.6× 125 0.4× 68 0.3× 301 1.6× 57 0.5× 26 872
Adele Ferro 316 0.6× 187 0.5× 261 1.3× 205 1.1× 18 0.2× 53 850
J. Wagner 534 1.0× 255 0.7× 72 0.4× 64 0.3× 154 1.4× 46 896
Julie Tremblay 485 0.9× 505 1.4× 92 0.5× 63 0.3× 222 2.0× 44 1.0k
Goran Papenberg 533 1.0× 125 0.4× 208 1.1× 66 0.4× 41 0.4× 48 999
Michele Veldsman 357 0.7× 210 0.6× 199 1.0× 83 0.4× 41 0.4× 38 952
Xian Zhang 645 1.3× 309 0.9× 47 0.2× 84 0.5× 137 1.3× 33 941
Toshikazu Shinba 375 0.7× 165 0.5× 98 0.5× 342 1.8× 152 1.4× 60 977

Countries citing papers authored by Michael K. Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Yeung. 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 Michael K. Yeung. The network helps show where Michael K. Yeung may publish in the future.

Co-authorship network of co-authors of Michael K. Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Yeung. A scholar is included among the top collaborators of Michael K. Yeung 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 Michael K. Yeung. Michael K. Yeung 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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