Liye Yi
Impact in
-
- Neurological Disease Mechanisms and Treatments
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
-
- Functional Brain Connectivity Studies 5
- Co-authors
- Chuanlu Jiang (3 shared papers)Longfei Jia (2 shared papers)Jinhui Wang (2 shared papers)Yong He (1 shared paper)Ying Han (1 shared paper)Kuncheng Li (1 shared paper)Jie Lu (1 shared paper)Zhilian Zhao (1 shared paper)
- Journals
- PLoS ONE (2 papers)International Journal of Cancer (2 papers)Frontiers in Neuroscience (2 papers)Journal of Cerebral Blood Flow & Metabolism (1 paper)Clinical Neurology and Neurosurgery (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Liye Yi
16 papers receiving 360 citations
Peers
Comparison fields: 5 of 66
- Neurology 45
- Cognitive Neuroscience 96
- Psychiatry and Mental health 57
- Genetics 32
- Radiology, Nuclear Medicine and Imaging 65
Countries citing papers authored by Liye Yi
This map shows the geographic impact of Liye Yi'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 Liye Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liye Yi more than expected).
Fields of papers citing papers by Liye Yi
This network shows the impact of papers produced by Liye Yi. 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 Liye Yi. The network helps show where Liye Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Liye Yi, 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 | 2012 | 95 | |
| 2 | 2016 | 52 | |
| 3 | 2017 | 48 | |
| 4 | 2014 | 47 | |
| 5 | 2015 | 39 | |
| 6 | 2016 | 23 | |
| 7 | 2019 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2025 | 0 |
About Liye Yi
Liye Yi is a scholar working on Molecular Biology, Cognitive Neuroscience, Genetics, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), Glioma Diagnosis and Treatment (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Advanced MRI Techniques and Applications (3 papers), Autophagy in Disease and Therapy (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Neurology (45 citations), Cognitive Neuroscience (96 citations), Psychiatry and Mental health (57 citations), Genetics (32 citations) and Radiology, Nuclear Medicine and Imaging (65 citations). Liye Yi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chuanlu Jiang, Longfei Jia, Jinhui Wang, Yong He, Ying Han, Kuncheng Li, Jie Lu, Zhilian Zhao, Jianping Jia and Xia Liang. Their work appears in journals such as PLoS ONE, International Journal of Cancer, Frontiers in Neuroscience, Journal of Cerebral Blood Flow & Metabolism and Clinical Neurology and Neurosurgery.
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.