Yuxiu Sui
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Shuihua WangPreetha PhillipsBin LiuMing YangHong ChengYudong ZhangYiding LvShuai Liu
- Topics
- Functional Brain Connectivity Studies (13 papers)Advanced Neuroimaging Techniques and Applications (8 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesScientific ReportsJournal of Affective Disorders
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuxiu Sui
34 papers receiving 947 citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Neurology 294
- Cognitive Neuroscience 230
- Artificial Intelligence 224
- Radiology, Nuclear Medicine and Imaging 186
- Computer Vision and Pattern Recognition 146
Countries citing papers authored by Yuxiu Sui
This map shows the geographic impact of Yuxiu Sui'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 Yuxiu Sui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxiu Sui more than expected).
Fields of papers citing papers by Yuxiu Sui
This network shows the impact of papers produced by Yuxiu Sui. 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 Yuxiu Sui. The network helps show where Yuxiu Sui may publish in the future.
Co-authorship network of co-authors of Yuxiu Sui
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiu Sui. A scholar is included among the top collaborators of Yuxiu Sui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuxiu Sui. Yuxiu Sui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 43 | |
| 12 | Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Poolingbreakdown → | 257 |
| 13 | 40 | |
| 14 | 29 | |
| 15 | 19 | |
| 16 | 1 | |
| 17 | 32 | |
| 18 | 39 | |
| 19 | 14 | |
| 20 | 41 |
About Yuxiu Sui
Yuxiu Sui is a scholar working on Developmental Neuroscience, Neurology and Behavioral Neuroscience, having authored 34 papers that have together received 969 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Neurology (294 citations), Biological Psychiatry (37 citations) and Developmental Neuroscience (59 citations). Yuxiu Sui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shuihua Wang, Preetha Phillips, Bin Liu, Ming Yang, Hong Cheng, Yudong Zhang, Yiding Lv, Shuai Liu, Sujing Wang and Zhijun Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Affective Disorders.
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.