Jun Xia
Impact in
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- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Medical Imaging Techniques and Applications 7
- Advanced MRI Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced Neuroimaging Techniques and Applications 2
- Cardiac Imaging and Diagnostics 2
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- Medical Image Segmentation Techniques 3
- Co-authors
- Guang Yang (2 shared papers)Javier Del Ser (2 shared papers)Yang Li (1 shared paper)Yingying Fang (1 shared paper)Jiahao Huang (1 shared paper)Yinzhe Wu (1 shared paper)Zhifan Gao (1 shared paper)Yafen Li (3 shared papers)
- Journals
- European Radiology (2 papers)BioMed Research International (2 papers)Neurocomputing (1 paper)Frontiers in Aging Neuroscience (1 paper)Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Xia
19 papers receiving 292 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 194
- Health Informatics 8
- Computer Vision and Pattern Recognition 100
- Neurology 22
- Radiation 22
Countries citing papers authored by Jun Xia
This map shows the geographic impact of Jun Xia'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 Jun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xia more than expected).
Fields of papers citing papers by Jun Xia
This network shows the impact of papers produced by Jun Xia. 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 Jun Xia. The network helps show where Jun Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xia, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 114 | |
| 2 | 2019 | 59 | |
| 3 | 2020 | 43 | |
| 4 | 2022 | 19 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 9 | |
| 7 | 2019 | 9 | |
| 8 | 2025 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2013 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | Construction and identification of a fowlpox virus transfer vector. | 2009 | 1 |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 0 |
About Jun Xia
Jun Xia is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 22 papers that have together received 295 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (5 papers), Medical Image Segmentation Techniques (3 papers), Medical Imaging and Analysis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (194 citations), Health Informatics (8 citations), Computer Vision and Pattern Recognition (100 citations), Neurology (22 citations) and Radiation (22 citations). Jun Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guang Yang, Javier Del Ser, Yang Li, Yingying Fang, Jiahao Huang, Yinzhe Wu, Zhifan Gao, Yafen Li, Yaoqin Xie and Wen Li. Their work appears in journals such as European Radiology, BioMed Research International, Neurocomputing, Frontiers in Aging Neuroscience and Bioinformatics.
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.