Yu‐Te Wu
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
-
- Functional Brain Connectivity Studies 50
- EEG and Brain-Computer Interfaces 22
- Neural dynamics and brain function 20
-
- Advanced Neuroimaging Techniques and Applications 32
- Advanced MRI Techniques and Applications 18
- Radiomics and Machine Learning in Medical Imaging 17
- Co-authors
- Chien‐Han LaiJohn H. KrystalRalitza GueorguievaJen‐Chuen HsiehTzu‐Chen YehGerard SanacoraEdward PerryDeepak Cyril D’Souza
- Journals
- Journal of Affective Disorders (11 papers)NeuroImage (6 papers)Annals of Biomedical Engineering (5 papers)Medicine (5 papers)PLoS ONE (5 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yu‐Te Wu
162 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Biological Psychiatry 370
- Cognitive Neuroscience 2.2k
- Pharmacology 1.1k
- Cellular and Molecular Neuroscience 1.1k
- Neurology 466
Countries citing papers authored by Yu‐Te Wu
This map shows the geographic impact of Yu‐Te 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‐Te 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‐Te Wu more than expected).
Fields of papers citing papers by Yu‐Te Wu
This network shows the impact of papers produced by Yu‐Te 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‐Te Wu. The network helps show where Yu‐Te Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu‐Te Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 17 | |
| 11 | 2021 | 38 | |
| 12 | 2016 | 6 | |
| 13 | 2015 | 17 | |
| 14 | 2014 | 55 | |
| 15 | 2013 | 0 | |
| 16 | 2011 | 48 | |
| 17 | 2011 | 17 | |
| 18 | 2011 | 43 | |
| 19 | 2007 | 39 | |
| 20 | Segmentation of Hemodynamics from Dynamic- Susceptibility-Contrast Magnetic Resonance Brain Images Using Sequential Independent Component Analysis | 2004 | 1 |
About Yu‐Te Wu
Yu‐Te Wu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Signal Processing, Cellular and Molecular Neuroscience and Neurology, having authored 173 papers that have together received 5.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (50 papers), Advanced Neuroimaging Techniques and Applications (32 papers), EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (20 papers), Advanced MRI Techniques and Applications (18 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Blind Source Separation Techniques (11 papers) and Genetic Neurodegenerative Diseases (11 papers). The work is most often cited by research in Biological Psychiatry (370 citations), Cognitive Neuroscience (2.2k citations), Pharmacology (1.1k citations), Cellular and Molecular Neuroscience (1.1k citations) and Neurology (466 citations). Yu‐Te Wu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chien‐Han Lai, John H. Krystal, Ralitza Gueorguieva, Jen‐Chuen Hsieh, Tzu‐Chen Yeh, Gerard Sanacora, Edward Perry, Deepak Cyril D’Souza, Lisa Macdougall and Gabriel Braley. Their work appears in journals such as Journal of Affective Disorders, NeuroImage, Annals of Biomedical Engineering, Medicine 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.