Peiying Liu
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- Advanced MRI Techniques and Applications 80
- Advanced Neuroimaging Techniques and Applications 29
- MRI in cancer diagnosis 25
- Neurology top 2%
- Traumatic Brain Injury and Neurovascular Disturbances 18
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 26
- Neurology top 5%
- Traumatic Brain Injury and Neurovascular Disturbances 18
- Psychiatry and Mental health top 5%
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- Neonatal and fetal brain pathology 15
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- Atomic and Subatomic Physics Research 13
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- Cerebrovascular and Carotid Artery Diseases 11
- Co-authors
- Hanzhang LuFeng XuDenise C. ParkJill B. De VisYang LiBinu P. ThomasQin QinDong Wang
- Journals
- Magnetic Resonance in Medicine (20 papers)NeuroImage (15 papers)Journal of Magnetic Resonance Imaging (10 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Peiying Liu
127 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 126
- Radiology, Nuclear Medicine and Imaging 2.2k
- Neurology 718
- Cognitive Neuroscience 824
- Neurology 214
- Psychiatry and Mental health 298
Countries citing papers authored by Peiying Liu
This map shows the geographic impact of Peiying Liu'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 Peiying Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiying Liu more than expected).
Fields of papers citing papers by Peiying Liu
This network shows the impact of papers produced by Peiying Liu. 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 Peiying Liu. The network helps show where Peiying Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peiying Liu, 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 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 18 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 94 | |
| 9 | 2019 | 26 | |
| 10 | 2018 | 184 | |
| 11 | 2017 | 12 | |
| 12 | 2016 | 72 | |
| 13 | 2014 | 14 | |
| 14 | 2014 | 91 | |
| 15 | 2013 | 47 | |
| 16 | 2012 | 88 | |
| 17 | 2011 | 168 | |
| 18 | 2010 | 58 | |
| 19 | 2010 | 16 | |
| 20 | 1987 | 4 |
About Peiying Liu
Peiying Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology, having authored 130 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (80 papers), Advanced Neuroimaging Techniques and Applications (29 papers), Functional Brain Connectivity Studies (26 papers), MRI in cancer diagnosis (25 papers), Traumatic Brain Injury and Neurovascular Disturbances (18 papers), Neonatal and fetal brain pathology (15 papers), Atomic and Subatomic Physics Research (13 papers) and Cerebrovascular and Carotid Artery Diseases (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Neurology (718 citations) and Cognitive Neuroscience (824 citations). Peiying Liu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Hanzhang Lu, Feng Xu, Denise C. Park, Jill B. De Vis, Yang Li, Binu P. Thomas, Qin Qin, Dong Wang, Ben Zhong Tang and Peter C.M. van Zijl. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, Journal of Magnetic Resonance Imaging, NMR in Biomedicine and Journal of Cerebral Blood Flow & Metabolism.
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.