Xiuchao Sui

481 citations
7 papers · 265 indexed · h-index 5
Topics
Alzheimer's disease research and treatments (3 papers)Advanced Vision and Imaging (2 papers)Functional Brain Connectivity Studies (2 papers)
Journals
Current Alzheimer ResearchNeuroImage Clinical2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Partner nations
SingaporeChina

In The Last Decade

Xiuchao Sui

7 papers receiving 260 citations

Peers

Xiuchao Sui
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 165
  • Radiology, Nuclear Medicine and Imaging 82
  • Artificial Intelligence 57
  • Cognitive Neuroscience 34
  • Neurology 33
Replace Nihal Kodikara with:
Nihal Kodikara Sri Lanka
Maria Inês Meyer Belgium
Hancan Zhu China
S. J. Pawan India
Pierre Maurel France
Wenhui Huang China
Raghav Mehta India
Ebrahim Mohammed Senan Yemen
Xiuchao Sui relative to Nihal Kodikara Sri Lanka Nihal Kodikara's profile →
Citations per field
00.5×3.9×
Nihal Kodikara · 1×
Citations per year

Countries citing papers authored by Xiuchao Sui

Since Specialization
Citations

This map shows the geographic impact of Xiuchao 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 Xiuchao Sui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuchao Sui more than expected).

Fields of papers citing papers by Xiuchao Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiuchao 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 Xiuchao Sui. The network helps show where Xiuchao Sui may publish in the future.

Co-authorship network of co-authors of Xiuchao Sui

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuchao Sui. A scholar is included among the top collaborators of Xiuchao 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 Xiuchao Sui. Xiuchao Sui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 68
2 141
3 19
4 14
5 3
6 19
7 1

About Xiuchao Sui

Xiuchao Sui is a scholar working on Computer Vision and Pattern Recognition, Psychiatry and Mental health and Physiology, having authored 7 papers that have together received 265 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Advanced Vision and Imaging (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Neurology (33 citations) and Radiology, Nuclear Medicine and Imaging (82 citations). Xiuchao Sui has collaborated with scholars based in Singapore and China. Frequent co-authors include Yong Liu, Rick Siow Mong Goh, Xinxing Xu, Xiangde Luo, Shaohua Li, Hongyuan Zhu, Xue Geng, Shaohua Li, Yan Wu and Jagath C. Rajapakse. Their work appears in journals such as Current Alzheimer Research, NeuroImage Clinical and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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.

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