EX Wu

11.7k total citations · 1 hit paper
342 papers, 9.0k citations indexed

About

EX Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, EX Wu has authored 342 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Radiology, Nuclear Medicine and Imaging, 57 papers in Cognitive Neuroscience and 37 papers in Biomedical Engineering. Recurrent topics in EX Wu's work include Advanced MRI Techniques and Applications (144 papers), Advanced Neuroimaging Techniques and Applications (102 papers) and MRI in cancer diagnosis (34 papers). EX Wu is often cited by papers focused on Advanced MRI Techniques and Applications (144 papers), Advanced Neuroimaging Techniques and Applications (102 papers) and MRI in cancer diagnosis (34 papers). EX Wu collaborates with scholars based in Hong Kong, China and United States. EX Wu's co-authors include Matthew M. Cheung, Kevin C. Chan, Edward S. Hui, Liqun Qi, Haiying Tang, Iris Y. Zhou, Jerry S. Cheung, Kwok‐Fai So, Yilong Liu and Pek‐Lan Khong and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

EX Wu

333 papers receiving 8.9k citations

Hit Papers

A low-cost and shielding-free ultra-low-field brain MRI s... 2021 2026 2022 2024 2021 40 80 120

Peers

EX Wu
Comparison fields: 5 of 171
  • Radiology, Nuclear Medicine and Imaging 4.0k
  • Molecular Biology 1.3k
  • Cognitive Neuroscience 1.1k
  • Biomedical Engineering 883
  • Cellular and Molecular Neuroscience 791
Replace Kei Yamada with:
Kei Yamada Japan
Elias R. Melhem United States
Patrick J. Cozzone France
Henrik Larsson Denmark
Truman R. Brown United States
Peter R. Luijten Netherlands
Markus Rudin Switzerland
Manuel Desco Spain
Meng Law United States
Lothar R. Schad Germany
Kei Yamada Japan View profile →
Citations per field, relative to EX Wu
EX Wu · 1×
Citations per year, relative to EX Wu
EX Wu · 1×

Countries citing papers authored by EX Wu

Since Specialization
Citations

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

Fields of papers citing papers by EX Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of EX Wu

This figure shows the co-authorship network connecting the top 25 collaborators of EX Wu. A scholar is included among the top collaborators of EX Wu 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 EX Wu. EX Wu 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 6
3 1
4 43
5 6
6 54
7 1
8 2
9 5
10 0
11 5
12 9
13 6
14 40
15 10
16 15
17 72
18 59
19 11
20 5

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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2026