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-... 2021 2026 2022 2024 2021 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A low-cost and shielding-free ultra-low-field brain MRI scanner
    2021 143 citations Yilong Liu, Alex T. L. Leong et al. Nature Communications profile →

Author Peers

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

Author Last Decade Papers Cites
EX Wu 4.0k 1.3k 1.1k 883 791 342 9.0k
Kei Yamada 3.6k 0.9× 834 0.7× 887 0.8× 395 0.4× 805 1.0× 388 8.3k
Elias R. Melhem 5.2k 1.3× 936 0.7× 707 0.7× 392 0.4× 491 0.6× 186 9.1k
Patrick J. Cozzone 3.3k 0.8× 2.5k 1.9× 1.5k 1.4× 781 0.9× 575 0.7× 316 9.6k
Henrik Larsson 8.0k 2.0× 895 0.7× 1.4k 1.3× 907 1.0× 768 1.0× 305 14.6k
Truman R. Brown 4.2k 1.1× 1.9k 1.5× 1.9k 1.8× 821 0.9× 814 1.0× 217 11.5k
Peter R. Luijten 7.0k 1.8× 516 0.4× 1.7k 1.6× 1.1k 1.2× 1.1k 1.4× 283 11.4k
Markus Rudin 2.8k 0.7× 1.8k 1.4× 1.1k 1.1× 1.2k 1.4× 1.5k 1.9× 233 8.3k
Manuel Desco 3.0k 0.7× 1.2k 1.0× 1.4k 1.3× 1.2k 1.3× 581 0.7× 425 9.0k
Lothar R. Schad 8.4k 2.1× 535 0.4× 1.7k 1.6× 1.0k 1.2× 489 0.6× 406 12.8k
Meng Law 6.4k 1.6× 1.2k 1.0× 428 0.4× 592 0.7× 1.1k 1.3× 204 12.7k

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
1.
Wu, EX, et al.. (2025). BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation. IEEE Transactions on Visualization and Computer Graphics. 32(1). 1208–1218.
2.
Zhao, Yujiao, et al.. (2024). MRI at low field: A review of software solutions for improving SNR. NMR in Biomedicine. 38(1). e5268–e5268. 6 indexed citations
3.
Wu, EX & Xiaoyuan Feng. (2024). Reinventing magnetic resonance imaging for accessible healthcare: Whole‐body imaging at 0.05 Tesla. Clinical and Translational Medicine. 14(10). e70071–e70071. 1 indexed citations
4.
Zhao, Yujiao, et al.. (2024). Whole-body magnetic resonance imaging at 0.05 Tesla. Science. 384(6696). eadm7168–eadm7168. 43 indexed citations
5.
Zhao, Yujiao, et al.. (2024). Robust EMI elimination for RF shielding‐free MRI through deep learning direct MR signal prediction. Magnetic Resonance in Medicine. 92(1). 112–127. 15 indexed citations
6.
Leong, Alex T. L., et al.. (2023). Functional MRI reveals brain-wide actions of thalamically-initiated oscillatory activities on associative memory consolidation. Nature Communications. 14(1). 2195–2195. 6 indexed citations
7.
Wu, EX, Philip Xie, Stephanie Cheung, Z. Rosenwaks, & G.D. Palermo. (2023). P-260 A more physiological approach to support oocyte activation in cases with fertilization failure. Human Reproduction. 38(Supplement_1). 1 indexed citations
8.
Kimberly, W. Taylor, Annabel Sorby‐Adams, Andrew Webb, et al.. (2023). Brain imaging with portable low-field MRI. Nature Reviews Bioengineering. 1(9). 617–630. 54 indexed citations
9.
Zhao, Yujiao, Linfang Xiao, Shi Su, et al.. (2023). Calibrationless reconstruction of uniformly‐undersampled multi‐channel MR data with deep learning estimated ESPIRiT maps. Magnetic Resonance in Medicine. 90(1). 280–294.
10.
Su, Shi, Yujiao Zhao, Linfang Xiao, et al.. (2023). Deep learning enabled fast 3D brain MRI at 0.055 tesla. Science Advances. 9(38). eadi9327–eadi9327. 28 indexed citations
11.
Manno, Francis A. M., Ziqi An, Rachit Kumar, et al.. (2022). Environmental enrichment leads to behavioral circadian shifts enhancing brain-wide functional connectivity between sensory cortices and eliciting increased hippocampal spiking. NeuroImage. 252. 119016–119016. 9 indexed citations
12.
An, Ziqi, Shuangyang Zhang, Peiwei Yi, et al.. (2022). Astrocyte dysfunction drives abnormal resting-state functional connectivity in depression. Science Advances. 8(46). eabo2098–eabo2098. 40 indexed citations
13.
Zhao, Yujiao, Yilong Liu, Fei Chen, et al.. (2022). Calibrationless multi‐slice Cartesian MRI via orthogonally alternating phase encoding direction and joint low‐rank tensor completion. NMR in Biomedicine. 35(7). e4695–e4695. 6 indexed citations
14.
Zhao, Yujiao, Linfang Xiao, Yilong Liu, et al.. (2022). Joint denoising of diffusion‐weighted images via structured low‐rank patch matrix approximation. Magnetic Resonance in Medicine. 88(6). 2461–2474. 5 indexed citations
15.
Wu, EX, et al.. (2021). EEG-based auditory attention decoding using speech-level-based segmented computational models. Journal of Neural Engineering. 18(4). 46066–46066. 10 indexed citations
16.
Yeung, Andy Wai Kan, et al.. (2021). Effective Connectivity in the Human Brain for Sour Taste, Retronasal Smell, and Combined Flavour. Foods. 10(9). 2034–2034. 15 indexed citations
17.
Huang, Jianpan, Peter C.M. van Zijl, Xiongqi Han, et al.. (2020). Altered d -glucose in brain parenchyma and cerebrospinal fluid of early Alzheimer’s disease detected by dynamic glucose-enhanced MRI. Science Advances. 6(20). eaba3884–eaba3884. 72 indexed citations
18.
Zhang, Yue, Jiong Wu, Yilong Liu, et al.. (2020). MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images. IEEE Journal of Biomedical and Health Informatics. 25(2). 526–535. 59 indexed citations
19.
Wang, Ze, et al.. (2018). Magnetic Resonance Fingerprinting Using a Fast Dictionary Searching Algorithm: MRF-ZOOM. IEEE Transactions on Biomedical Engineering. 66(6). 1526–1535. 11 indexed citations
20.
Wu, EX, et al.. (2010). C-reactive protein promotes cardiac inflammation and fibrosis in angiotensin II-induced hypertensive cardiovascular diseases. The HKU Scholars Hub (University of Hong Kong). 5 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kei Yamada Breakdown of academic impact, for papers by Elias R. Melhem Breakdown of academic impact, for papers by Patrick J. Cozzone Breakdown of academic impact, for papers by Henrik Larsson Breakdown of academic impact, for papers by Truman R. Brown Breakdown of academic impact, for papers by Peter R. Luijten Breakdown of academic impact, for papers by Markus Rudin Breakdown of academic impact, for papers by Manuel Desco Breakdown of academic impact, for papers by Lothar R. Schad Breakdown of academic impact, for papers by Meng Law
Rankless by CCL
2026