Guangyao Wu
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- Advanced Neuroimaging Techniques and Applications 16
- Advanced MRI Techniques and Applications 16
- MRI in cancer diagnosis 15
- Radiomics and Machine Learning in Medical Imaging 9
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 17
- Neurology top 10%
- Virology top 10%
- HIV Research and Treatment 5
- Surfaces, Coatings and Films top 10%
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- Advanced NMR Techniques and Applications 6
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- Atomic and Subatomic Physics Research 5
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (2 papers)NeuroImage (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Guangyao Wu
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 459
- Cognitive Neuroscience 298
- Neurology 98
- Virology 35
- Surfaces, Coatings and Films 44
Countries citing papers authored by Guangyao Wu
This map shows the geographic impact of Guangyao 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 Guangyao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyao Wu more than expected).
Fields of papers citing papers by Guangyao Wu
This network shows the impact of papers produced by Guangyao 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 Guangyao Wu. The network helps show where Guangyao Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guangyao 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 12 | |
| 11 | 2020 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2017 | 37 | |
| 14 | Clinical detection of cerebral microbleeds with quantitative susceptibility mapping in essential hypertension | 2017 | 2 |
| 15 | 2015 | 0 | |
| 16 | 2015 | 3 | |
| 17 | 2012 | 1 | |
| 18 | Research Progress on Resting State fMRI | 2010 | 1 |
| 19 | 2009 | 11 | |
| 20 | Relationship Between the Sequence and Function of Rubisco rbcL in Nucleo-Cytoplasmic Hybrid Wheat | 1996 | 1 |
About Guangyao Wu
Guangyao Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Virology, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (17 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Advanced MRI Techniques and Applications (16 papers), MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced NMR Techniques and Applications (6 papers), HIV Research and Treatment (5 papers) and Atomic and Subatomic Physics Research (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (459 citations), Cognitive Neuroscience (298 citations) and Neurology (98 citations). Guangyao Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Fuchun Lin, Hao Lei, Ling Zhu, Zhi Wen, Ning Tu, Prasanna Ghimire, Wen‐Ju Pan, Chunxia Li, Junjian Zhang and Jie Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.