Xiuli Li
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Health Informatics top 5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Jie Tian (4 shared papers)Xing Zhang (4 shared papers)Zhengyu Jin (13 shared papers)Kexin Deng (3 shared papers)Guangming Lu (8 shared papers)Long Jiang Zhang (6 shared papers)Lili Xu (7 shared papers)Na Zhou (1 shared paper)
- Journals
- European Radiology (7 papers)Frontiers in Oncology (4 papers)Veterinary Microbiology (3 papers)Academic Radiology (2 papers)Food & Function (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiuli Li
109 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 150
- Radiology, Nuclear Medicine and Imaging 480
- Health Informatics 25
- Pulmonary and Respiratory Medicine 373
- Computer Vision and Pattern Recognition 209
- Neurology 85
Countries citing papers authored by Xiuli Li
This map shows the geographic impact of Xiuli Li'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 Xiuli Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuli Li more than expected).
Fields of papers citing papers by Xiuli Li
This network shows the impact of papers produced by Xiuli Li. 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 Xiuli Li. The network helps show where Xiuli Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiuli Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2010 | 109 | |
| 3 | 1998 | 70 | |
| 4 | 2020 | 68 | |
| 5 | 2019 | 67 | |
| 6 | 2020 | 60 | |
| 7 | 2021 | 56 | |
| 8 | 2020 | 45 | |
| 9 | 2016 | 42 | |
| 10 | 2021 | 40 | |
| 11 | 2021 | 36 | |
| 12 | 2022 | 35 | |
| 13 | 2023 | 35 | |
| 14 | 2021 | 34 | |
| 15 | 2015 | 33 | |
| 16 | 2021 | 33 | |
| 17 | 2020 | 33 | |
| 18 | 2019 | 29 | |
| 19 | 2022 | 29 | |
| 20 | 2018 | 26 |
About Xiuli Li
Xiuli Li is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology and Molecular Biology, having authored 121 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Image Segmentation Techniques (7 papers), Functional Brain Connectivity Studies (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Epilepsy research and treatment (6 papers), Animal Virus Infections Studies (5 papers), AI in cancer detection (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (480 citations), Health Informatics (25 citations), Pulmonary and Respiratory Medicine (373 citations), Computer Vision and Pattern Recognition (209 citations) and Neurology (85 citations). Xiuli Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jie Tian, Xing Zhang, Zhengyu Jin, Kexin Deng, Guangming Lu, Long Jiang Zhang, Lili Xu, Na Zhou, Susan R.B. Weiss and Qin Zhang. Their work appears in journals such as European Radiology, Frontiers in Oncology, Veterinary Microbiology, Academic Radiology and Food & Function.
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.