Jun Xia
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Cerebrospinal fluid and hydrocephalus 14
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- COVID-19 diagnosis using AI 5
- Co-authors
- Guang Zhong Yang (13 shared papers)Qinghao Ye (7 shared papers)Kunlin Cao (4 shared papers)Junjie Bai (4 shared papers)Youbing Yin (4 shared papers)Xin Wang (2 shared papers)Qizhong Xu (5 shared papers)Zhenghan Fang (2 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Cancer Biomarkers (3 papers)Frontiers in Neurology (3 papers)Medical Oncology (3 papers)Frontiers in Aging Neuroscience (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jun Xia
113 papers receiving 4.7k citations
Jun Xia's Hit Papers
Peers
Comparison fields: 5 of 153
- Health Informatics 314
- Radiology, Nuclear Medicine and Imaging 1.6k
- Neurology 212
- Infectious Diseases 499
- Health Information Management 164
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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy Hit paper breakdown → | 2020 | 1514 |
| 2 | Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond Hit paper breakdown → | 2021 | 565 |
| 3 | Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images Hit paper breakdown → | 2020 | 306 |
| 4 | 2020 | 265 | |
| 5 | 2010 | 199 | |
| 6 | 2019 | 198 | |
| 7 | 2020 | 101 | |
| 8 | 2009 | 97 | |
| 9 | 2018 | 80 | |
| 10 | 2021 | 75 | |
| 11 | 2013 | 70 | |
| 12 | 2010 | 57 | |
| 13 | 2011 | 49 | |
| 14 | 2014 | 48 | |
| 15 | 2023 | 47 | |
| 16 | 2018 | 46 | |
| 17 | 2017 | 42 | |
| 18 | 2020 | 40 | |
| 19 | 2022 | 38 | |
| 20 | 2021 | 34 |
About Jun Xia
Jun Xia is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Hematology, Neurology and Pathology and Forensic Medicine, having authored 122 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (14 papers), Medical Image Segmentation Techniques (8 papers), Multiple Myeloma Research and Treatments (8 papers), COVID-19 Clinical Research Studies (5 papers), COVID-19 diagnosis using AI (5 papers), Brain Tumor Detection and Classification (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Gastric Cancer Management and Outcomes (4 papers). The work is most often cited by research in Health Informatics (314 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations), Neurology (212 citations), Infectious Diseases (499 citations) and Health Information Management (164 citations). Jun Xia has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guang Zhong Yang, Qinghao Ye, Kunlin Cao, Junjie Bai, Youbing Yin, Xin Wang, Qizhong Xu, Zhenghan Fang, Lin Li and Daliang Liu. Their work appears in journals such as Frontiers in Oncology, Cancer Biomarkers, Frontiers in Neurology, Medical Oncology and Frontiers in Aging Neuroscience.
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.