Luyan Liu
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- Functional Brain Connectivity Studies 2
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- Domain Adaptation and Few-Shot Learning 2
- Advanced Clustering Algorithms Research 1
- Co-authors
- Kai Ma (3 shared papers)Yefeng Zheng (3 shared papers)Dinggang Shen (5 shared papers)Qian Wang (4 shared papers)Xiaolin Hong (1 shared paper)Qingqing Zheng (1 shared paper)Zhongke Gao (1 shared paper)Han Zhang (3 shared papers)
- Journals
- Brain Imaging and Behavior (1 paper)Computerized Medical Imaging and Graphics (1 paper)IEEE Transactions on Neural Systems and Rehabilitation Engineering (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Luyan Liu
13 papers receiving 295 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 113
- Human-Computer Interaction 27
- Radiology, Nuclear Medicine and Imaging 67
- Neurology 23
- Genetics 29
Countries citing papers authored by Luyan Liu
This map shows the geographic impact of Luyan 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 Luyan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyan Liu more than expected).
Fields of papers citing papers by Luyan Liu
This network shows the impact of papers produced by Luyan 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 Luyan Liu. The network helps show where Luyan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Luyan 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 | 2021 | 94 | |
| 2 | 2018 | 44 | |
| 3 | 2016 | 34 | |
| 4 | 2021 | 31 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2016 | 14 | |
| 9 | 2017 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2020 | 8 | |
| 12 | 2024 | 5 | |
| 13 | 2017 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2019 | 0 |
About Luyan Liu
Luyan Liu is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 298 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Functional Brain Connectivity Studies (2 papers), Glioma Diagnosis and Treatment (2 papers), Advanced Clustering Algorithms Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (113 citations), Human-Computer Interaction (27 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Neurology (23 citations) and Genetics (29 citations). Luyan Liu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Kai Ma, Yefeng Zheng, Dinggang Shen, Qian Wang, Xiaolin Hong, Qingqing Zheng, Zhongke Gao, Han Zhang, Xiaobo Chen and Islem Rekik. Their work appears in journals such as Brain Imaging and Behavior, Computerized Medical Imaging and Graphics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Neural Networks and Learning Systems and Advanced Functional Materials.
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.