Ruoxiu Xiao
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging 13
- Retinal Imaging and Analysis 7
- COVID-19 diagnosis using AI 4
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- Medical Image Segmentation Techniques 12
- Advanced Neural Network Applications 4
- Neurology top 10%
- Artificial Intelligence top 5%
- AI in cancer detection 6
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- Cerebrovascular and Carotid Artery Diseases 8
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- Medical Imaging and Analysis 6
- Co-authors
- Cheng ChenMaxime BassenneHyunseok SeoLei XingCharles HuangKangneng ZhouZhiliang WangXiaoyu Guo
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Access (3 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ruoxiu Xiao
42 papers receiving 874 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Health Informatics 34
- Radiology, Nuclear Medicine and Imaging 459
- Computer Vision and Pattern Recognition 392
- Neurology 93
- Artificial Intelligence 263
Countries citing papers authored by Ruoxiu Xiao
This map shows the geographic impact of Ruoxiu Xiao'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 Ruoxiu Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoxiu Xiao more than expected).
Fields of papers citing papers by Ruoxiu Xiao
This network shows the impact of papers produced by Ruoxiu Xiao. 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 Ruoxiu Xiao. The network helps show where Ruoxiu Xiao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruoxiu Xiao, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 58 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 65 | |
| 16 | 2021 | 29 | |
| 17 | 2020 | 38 | |
| 18 | 2020 | 2 | |
| 19 | 2020 | 24 | |
| 20 | 2018 | 4 |
About Ruoxiu Xiao
Ruoxiu Xiao is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 889 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Image Segmentation Techniques (12 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Retinal Imaging and Analysis (7 papers), AI in cancer detection (6 papers), Medical Imaging and Analysis (6 papers), COVID-19 diagnosis using AI (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Health Informatics (34 citations), Radiology, Nuclear Medicine and Imaging (459 citations) and Computer Vision and Pattern Recognition (392 citations). Ruoxiu Xiao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Cheng Chen, Maxime Bassenne, Hyunseok Seo, Lei Xing, Charles Huang, Kangneng Zhou, Zhiliang Wang, Xiaoyu Guo, Hongyu Chen and Yunqing Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Medical Imaging.
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.