EX Wu

11.9k citations
350 papers · 9.6k · 1 hit paper · h-index 51

Impact in

Papers in

EX Wu

338 papers receiving 9.4k citations

EX Wu's Hit Papers

A low-cost and shielding-free ultra-low-field brain MRI scanner 2021 · 163 citations
1630+1+3Years since publication50100150

Peers

EX Wu
Comparison fields: 5 of 169
  • Computational Mathematics 260
  • Radiology, Nuclear Medicine and Imaging 3.5k
  • Developmental Neuroscience 386
  • Biological Psychiatry 221
  • Neurology 631
Replace Khader M. Hasan with:
Khader M. Hasan United States
Mara Cercignani United Kingdom
Olga Ciccarelli United Kingdom
Jiangyang Zhang United States
Joshua S. Shimony United States
Sabina Pappatà Italy
Russell E. Jacobs United States
Claudia A. M. Gandini Wheeler‐Kingshott United Kingdom
Dorothee P. Auer United Kingdom
Yongyue Zhang China
EX Wu relative to Khader M. Hasan United States Khader M. Hasan's profile →
Citations per field
00.5×3.1×
Khader M. Hasan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside EX Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with EX Wu Line = papers co-authored together EX Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 350 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007407
2 2008343
3 2010275
4 2015255
5 2008233
6 2008222
7 2004177
8
A low-cost and shielding-free ultra-low-field brain MRI scanner
Hit paper breakdown →
2021163
9 2010133
10 2009129
11 2010122
12 2007112
13 2007109
14 2009108
15 2007104
16 2009103
17 200099
18 201293
19 201492
20 202090

About EX Wu

EX Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience, having authored 350 papers that have together received 9.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (122 papers), Advanced Neuroimaging Techniques and Applications (83 papers), MRI in cancer diagnosis (26 papers), Functional Brain Connectivity Studies (24 papers), Neural dynamics and brain function (23 papers), Neonatal and fetal brain pathology (22 papers), Atomic and Subatomic Physics Research (19 papers) and Neuroscience and Neuropharmacology Research (17 papers). The work is most often cited by research in Computational Mathematics (260 citations), Radiology, Nuclear Medicine and Imaging (3.5k citations), Developmental Neuroscience (386 citations), Biological Psychiatry (221 citations) and Neurology (631 citations). EX Wu has collaborated with scholars based in Hong Kong, China and United States. Frequent 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 Alex T. L. Leong. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, Journal of Magnetic Resonance Imaging, NMR in Biomedicine and PLoS ONE.

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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