Yu‐Chien Wu

3.2k total citations
95 papers, 2.0k citations indexed

About

Yu‐Chien Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Yu‐Chien Wu has authored 95 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Cognitive Neuroscience and 15 papers in Epidemiology. Recurrent topics in Yu‐Chien Wu's work include Advanced Neuroimaging Techniques and Applications (65 papers), Advanced MRI Techniques and Applications (33 papers) and Functional Brain Connectivity Studies (19 papers). Yu‐Chien Wu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (65 papers), Advanced MRI Techniques and Applications (33 papers) and Functional Brain Connectivity Studies (19 papers). Yu‐Chien Wu collaborates with scholars based in United States, Taiwan and United Kingdom. Yu‐Chien Wu's co-authors include Andrew L. Alexander, Aaron S. Field, Jaroslaw Harezlak, Thomas W. McAllister, Chandana Kodiweera, Andrew J. Saykin, Qiuting Wen, Michael Hanke, Jason Gors and Hervé Abdi and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yu‐Chien Wu

89 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu‐Chien Wu United States 25 1.2k 581 293 261 261 95 2.0k
Benjamin Ades‐Aron United States 9 1.2k 1.0× 443 0.8× 285 1.0× 212 0.8× 90 0.3× 19 1.7k
Maximilian Pietsch United Kingdom 10 1.4k 1.1× 753 1.3× 450 1.5× 195 0.7× 131 0.5× 17 1.9k
Chun‐Hung Yeh Taiwan 15 2.3k 1.8× 1.3k 2.2× 583 2.0× 280 1.1× 165 0.6× 38 3.0k
Chantal M. W. Tax United Kingdom 23 1.7k 1.3× 510 0.9× 389 1.3× 167 0.6× 88 0.3× 74 1.9k
Alex J. de Crespigny United States 18 2.1k 1.7× 1.1k 1.9× 460 1.6× 321 1.2× 344 1.3× 28 3.0k
Lidia M. Nagae‐Poetscher United States 11 1.8k 1.4× 768 1.3× 472 1.6× 263 1.0× 122 0.5× 11 2.3k
Daan Christiaens United Kingdom 17 2.6k 2.1× 1.3k 2.2× 792 2.7× 345 1.3× 245 0.9× 41 3.6k
Kazi Akhter United States 9 2.1k 1.7× 1.1k 2.0× 516 1.8× 359 1.4× 268 1.0× 9 2.8k
Jürgen Finsterbusch Germany 33 2.1k 1.7× 1.0k 1.8× 193 0.7× 189 0.7× 107 0.4× 94 3.2k

Countries citing papers authored by Yu‐Chien Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Chien Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Chien Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chien Wu. A scholar is included among the top collaborators of Yu‐Chien 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 Yu‐Chien Wu. Yu‐Chien 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.
Shahid, Syed Salman, et al.. (2025). Longitudinal non-linear changes in the microstructure of the hippocampal subfields in older adults. Neurobiology of Aging. 155. 113–123.
2.
Wen, Qiuting, Charles F. Babbs, Yi Zhao, et al.. (2025). Dynamic diffusion-weighted imaging of intracranial cardiac impulse propagation along arteries to arterioles in the aging brain. Journal of Cerebral Blood Flow & Metabolism. 45(8). 1519–1530. 4 indexed citations
3.
4.
McAllister, Thomas W., Yu‐Chien Wu, Brenna C. McDonald, et al.. (2025). Association of Alzheimer’s Disease Polygenic Risk Score with Concussion Severity and Recovery Metrics. Sports Medicine. 55(6). 1487–1503. 1 indexed citations
5.
Wu, Yu‐Chien, Tzu-Yu Liu, James Cheng‐Chung Wei, et al.. (2024). Verbal training can improve neurocognitive and reading performance by increasing white matter integrity and grey matter volume. Experimental Gerontology. 198. 112625–112625. 2 indexed citations
6.
Wu, Yu‐Chien, et al.. (2023). Neurofluid coupling during sleep and wake states. Sleep Medicine. 110. 44–53. 11 indexed citations
7.
Newman, Christopher L., Rachel K. Surowiec, Elizabeth A. Swallow, et al.. (2023). Assessing cortical bone porosity with MRI in an animal model of chronic kidney disease. Bone. 173. 116808–116808. 2 indexed citations
8.
Risacher, Shannon L., Liana G. Apostolova, Martin R. Farlow, et al.. (2023). Edge time series components of functional connectivity and cognitive function in Alzheimer’s disease. Brain Imaging and Behavior. 18(1). 243–255. 2 indexed citations
9.
Mustafi, Sourajit M., Jaroslaw Harezlak, Timothy B. Meier, et al.. (2022). Effects of White-Matter Tract Length in Sport-Related Concussion: A Tractography Study from the NCAA-DoD CARE Consortium. Journal of Neurotrauma. 39(21-22). 1495–1506. 4 indexed citations
10.
Fadnavis, Shreyas, Stefan Endres, Qiuting Wen, et al.. (2021). Bifurcated Topological Optimization for IVIM. Frontiers in Neuroscience. 15. 779025–779025. 4 indexed citations
11.
Vishnubhotla, Ramana V., Rupa Radhakrishnan, Rachael Deardorff, et al.. (2021). Advanced Meditation Alters Resting-State Brain Network Connectivity Correlating With Improved Mindfulness. Frontiers in Psychology. 12. 745344–745344. 17 indexed citations
12.
Brett, Benjamin L., Yu‐Chien Wu, Sourajit M. Mustafi, et al.. (2020). The Association Between Persistent White-Matter Abnormalities and Repeat Injury After Sport-Related Concussion. PMC.
13.
Avena‐Koenigsberger, Andrea, Shannon L. Risacher, John D. West, et al.. (2019). Resting state network modularity along the prodromal late onset Alzheimer's disease continuum. NeuroImage Clinical. 22. 101687–101687. 43 indexed citations
14.
Mustafi, Sourajit M., Jaroslaw Harezlak, Chandana Kodiweera, et al.. (2019). Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging. PMC. 2 indexed citations
15.
Meier, Timothy B., Mónica Giraldo‐Chica, Andrew R. Mayer, et al.. (2019). Resting-State fMRI Metrics in Acute Sport-Related Concussion and Their Association with Clinical Recovery: A Study from the NCAA-DOD CARE Consortium. Journal of Neurotrauma. 37(1). 152–162. 42 indexed citations
16.
Yan, Jingwen, Kefei Liu, Enrico Amico, et al.. (2018). Joint Exploration and Mining of Memory-Relevant Brain Anatomic and Connectomic Patterns via a Three-Way Association Model. PMC. 2 indexed citations
17.
Wang, Yang, Andrew S. Nencka, Timothy B. Meier, et al.. (2018). Cerebral blood flow in acute concussion: preliminary ASL findings from the NCAA-DoD CARE consortium. Brain Imaging and Behavior. 13(5). 1375–1385. 43 indexed citations
18.
Hosseinbor, A. Pasha, Moo K. Chung, Yu‐Chien Wu, Barbara B. Bendlin, & Andrew L. Alexander. (2015). A 4D hyperspherical interpretation of q-space. Medical Image Analysis. 21(1). 15–28. 2 indexed citations
19.
Connolly, Andrew C., J. Swaroop Guntupalli, Jason Gors, et al.. (2012). The Representation of Biological Classes in the Human Brain. Journal of Neuroscience. 32(8). 2608–2618. 260 indexed citations
20.
Guo, Weihong, et al.. (2011). In the assessment of supratentorial glioma grade: The combined role of multivoxel proton MR spectroscopy and diffusion tensor imaging. Clinical Radiology. 66(10). 953–960. 33 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.

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