MingXia Liu
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
-
- Functional Brain Connectivity Studies 69
- Neural dynamics and brain function 20
- EEG and Brain-Computer Interfaces 19
-
- Advanced Neuroimaging Techniques and Applications 31
- Advanced MRI Techniques and Applications 26
- Co-authors
- Dinggang G. Shen (85 shared papers)Daoqiang Zhang (48 shared papers)Jun Zhang (11 shared papers)Chunfeng Lian (18 shared papers)Mingliang Wang (19 shared papers)Pew‐Thian Yap (21 shared papers)Ehsan Adeli (8 shared papers)Biao Jie (17 shared papers)
- Journals
- Medical Image Analysis (19 papers)Neural Networks (8 papers)IEEE Transactions on Medical Imaging (8 papers)Pattern Recognition (7 papers)IEEE Transactions on Biomedical Engineering (6 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
MingXia Liu
265 papers receiving 8.2k citations
MingXia Liu's Hit Papers
Peers
Comparison fields: 5 of 198
- Neurology 1.4k
- Cognitive Neuroscience 1.8k
- Radiology, Nuclear Medicine and Imaging 1.5k
- Health Informatics 101
- Psychiatry and Mental health 933
Countries citing papers authored by MingXia Liu
This map shows the geographic impact of MingXia 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 MingXia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MingXia Liu more than expected).
Fields of papers citing papers by MingXia Liu
This network shows the impact of papers produced by MingXia 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 MingXia Liu. The network helps show where MingXia Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside MingXia 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
Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI Hit paper breakdown → | 2018 | 443 |
| 2 | 2017 | 342 | |
| 3 | Federated learning for medical image analysis: A survey Hit paper breakdown → | 2024 | 254 |
| 4 | 2016 | 176 | |
| 5 | 2019 | 172 | |
| 6 | 2018 | 168 | |
| 7 | 2020 | 165 | |
| 8 | 2017 | 156 | |
| 9 | 2015 | 155 | |
| 10 | 2019 | 149 | |
| 11 | 2018 | 148 | |
| 12 | 2014 | 148 | |
| 13 | 2021 | 139 | |
| 14 | 2018 | 134 | |
| 15 | 2019 | 128 | |
| 16 | 2015 | 120 | |
| 17 | 2018 | 118 | |
| 18 | 2014 | 118 | |
| 19 | 2019 | 113 | |
| 20 | 2021 | 104 |
About MingXia Liu
MingXia Liu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 287 papers that have together received 8.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (69 papers), Brain Tumor Detection and Classification (32 papers), Advanced Neuroimaging Techniques and Applications (31 papers), Advanced MRI Techniques and Applications (26 papers), Medical Image Segmentation Techniques (25 papers), Domain Adaptation and Few-Shot Learning (21 papers), Neural dynamics and brain function (20 papers) and EEG and Brain-Computer Interfaces (19 papers). The work is most often cited by research in Neurology (1.4k citations), Cognitive Neuroscience (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Health Informatics (101 citations) and Psychiatry and Mental health (933 citations). MingXia Liu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dinggang G. Shen, Daoqiang Zhang, Jun Zhang, Chunfeng Lian, Mingliang Wang, Pew‐Thian Yap, Ehsan Adeli, Biao Jie, Hao Guan and Tao Zhou. Their work appears in journals such as Medical Image Analysis, Neural Networks, IEEE Transactions on Medical Imaging, Pattern Recognition and IEEE Transactions on Biomedical Engineering.
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.