Zhong Xue
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 5%
- Co-authors
- Dinggang ShenChristos DavatzikosStephen T.C. WongBilge KaraçalıSusan M. ResnickZhiqiang LaoFeihu QiLiya Chen
- Topics
- Medical Image Segmentation Techniques (45 papers)Radiomics and Machine Learning in Medical Imaging (22 papers)Medical Imaging Techniques and Applications (17 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Zhong Xue
122 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 161
- Radiology, Nuclear Medicine and Imaging 1.3k
- Computer Vision and Pattern Recognition 943
- Artificial Intelligence 434
- Biomedical Engineering 378
- Cognitive Neuroscience 368
Countries citing papers authored by Zhong Xue
This map shows the geographic impact of Zhong Xue'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 Zhong Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhong Xue more than expected).
Fields of papers citing papers by Zhong Xue
This network shows the impact of papers produced by Zhong Xue. 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 Zhong Xue. The network helps show where Zhong Xue may publish in the future.
Co-authorship network of co-authors of Zhong Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Xue. A scholar is included among the top collaborators of Zhong Xue 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 Zhong Xue. Zhong Xue 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 | 5 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 67 | |
| 7 | 11 | |
| 8 | 17 | |
| 9 | 8 | |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 186 | |
| 13 | 243 | |
| 14 | 83 | |
| 15 | Segmentation of glioblastoma multiforme from multimodal MR images based on superpixel | 1 |
| 16 | 4 | |
| 17 | 14 | |
| 18 | The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study. | 1 |
| 19 | 29 | |
| 20 | The precise equation for the optimized extraction factor of countercurrent extraction | 1 |
About Zhong Xue
Zhong Xue is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mathematics, having authored 127 papers that have together received 2.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (45 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Medical Imaging Techniques and Applications (17 papers). The work is most often cited by research in Health Informatics (94 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Computational Mathematics (28 citations). Zhong Xue has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Dinggang Shen, Christos Davatzikos, Stephen T.C. Wong, Bilge Karaçalı, Susan M. Resnick, Zhiqiang Lao, Feihu Qi, Liya Chen, Hai Li and Xiaohuan Cao. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.