Matthew M. Cheung

1.6k total citations
23 papers, 1.3k citations indexed

About

Matthew M. Cheung is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Matthew M. Cheung has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cognitive Neuroscience and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Matthew M. Cheung's work include Advanced Neuroimaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (8 papers) and Neural dynamics and brain function (6 papers). Matthew M. Cheung is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (8 papers) and Neural dynamics and brain function (6 papers). Matthew M. Cheung collaborates with scholars based in Hong Kong, China and United States. Matthew M. Cheung's co-authors include EX Wu, Edward S. Hui, Kevin C. Chan, Liqun Qi, Iris Y. Zhou, Condon Lau, Joseph A. Helpern, Pek‐Lan Khong, Silun Wang and Jian Yang and has published in prestigious journals such as PLoS ONE, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Matthew M. Cheung

22 papers receiving 1.3k citations

Peers

Matthew M. Cheung
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 965
  • Cognitive Neuroscience 312
  • Orthopedics and Sports Medicine 206
  • Pediatrics, Perinatology and Child Health 148
  • Cellular and Molecular Neuroscience 122
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Citations per field, relative to Matthew M. Cheung
Matthew M. Cheung · 1×
Citations per year, relative to Matthew M. Cheung
Matthew M. Cheung · 1×

Countries citing papers authored by Matthew M. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Matthew M. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew M. Cheung. 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 Matthew M. Cheung. The network helps show where Matthew M. Cheung may publish in the future.

Co-authorship network of co-authors of Matthew M. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew M. Cheung. A scholar is included among the top collaborators of Matthew M. Cheung 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 Matthew M. Cheung. Matthew M. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 17
3 15
4 45
5 25
6 22
7 23
8 31
9 7
10 44
11 31
12 3
13 263
14 67
15 102
16 44
17 217
18 225
19 28
20 10

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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