Yu‐Chien Wu
- Radiology, Nuclear Medicine and Imaging top 1%
- Cognitive Neuroscience top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Neurology top 5%
- Epidemiology top 10%
- Co-authors
- Andrew L. AlexanderAaron S. FieldJaroslaw HarezlakThomas W. McAllisterChandana KodiweeraAndrew J. SaykinQiuting WenMichael Hanke
- Topics
- Advanced Neuroimaging Techniques and Applications (65 papers)Advanced MRI Techniques and Applications (33 papers)Functional Brain Connectivity Studies (19 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Yu‐Chien Wu
89 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Radiology, Nuclear Medicine and Imaging 1.2k
- Cognitive Neuroscience 581
- Pediatrics, Perinatology and Child Health 293
- Neurology 261
- Epidemiology 261
Countries citing papers authored by Yu‐Chien Wu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | The Association Between Persistent White-Matter Abnormalities and Repeat Injury After Sport-Related Concussion | 0 |
| 13 | 43 | |
| 14 | Detecting white matter alterations in multiple sclerosis using advanced diffusion magnetic resonance imaging | 2 |
| 15 | 42 | |
| 16 | Joint Exploration and Mining of Memory-Relevant Brain Anatomic and Connectomic Patterns via a Three-Way Association Model | 2 |
| 17 | 43 | |
| 18 | 2 | |
| 19 | 260 | |
| 20 | 33 |
About Yu‐Chien Wu
Yu‐Chien Wu is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine, having authored 95 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (65 papers), Advanced MRI Techniques and Applications (33 papers) and Functional Brain Connectivity Studies (19 papers). The work is most often cited by research in Computational Mathematics (32 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Cognitive Neuroscience (581 citations). Yu‐Chien Wu has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología 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.