Xiaowei Ding
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Cardiac Imaging and Diagnostics
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- Cardiovascular Disease and Adiposity
Papers in
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- Retinal Imaging and Analysis 6
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 3
- Cardiac Imaging and Diagnostics 3
- Co-authors
- Demetri Terzopoulos (10 shared papers)Nima Tajbakhsh (5 shared papers)Damini Dey (6 shared papers)Daniel S. Berman (6 shared papers)Piotr J. Slomka (6 shared papers)Mariana Díaz‐Zamudio (5 shared papers)Jianing Pang (3 shared papers)Ali Hatamizadeh (2 shared papers)
- Journals
- Journal of cardiovascular computed tomography (1 paper)PLoS ONE (1 paper)Psychological Research (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Medical Physics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaowei Ding
23 papers receiving 372 citations
Peers
Comparison fields: 5 of 52
- Radiology, Nuclear Medicine and Imaging 172
- Cardiology and Cardiovascular Medicine 112
- Computer Vision and Pattern Recognition 89
- Health Informatics 4
- Pulmonary and Respiratory Medicine 79
Countries citing papers authored by Xiaowei Ding
This map shows the geographic impact of Xiaowei Ding'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 Xiaowei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Ding more than expected).
Fields of papers citing papers by Xiaowei Ding
This network shows the impact of papers produced by Xiaowei Ding. 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 Xiaowei Ding. The network helps show where Xiaowei Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei Ding, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 62 | |
| 2 | 2016 | 50 | |
| 3 | 2019 | 48 | |
| 4 | 2015 | 35 | |
| 5 | 2013 | 32 | |
| 6 | 2019 | 24 | |
| 7 | 2014 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2012 | 19 | |
| 10 | 2020 | 13 | |
| 11 | 2015 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2016 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 4 | |
| 17 | Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. | 2015 | 3 |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Xiaowei Ding
Xiaowei Ding is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 387 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Cardiovascular Disease and Adiposity (6 papers), COVID-19 diagnosis using AI (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Retinal and Optic Conditions (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (172 citations), Cardiology and Cardiovascular Medicine (112 citations), Computer Vision and Pattern Recognition (89 citations), Health Informatics (4 citations) and Pulmonary and Respiratory Medicine (79 citations). Xiaowei Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Demetri Terzopoulos, Nima Tajbakhsh, Damini Dey, Daniel S. Berman, Piotr J. Slomka, Mariana Díaz‐Zamudio, Jianing Pang, Ali Hatamizadeh, Hang Qi and Yixin Zhu. Their work appears in journals such as Journal of cardiovascular computed tomography, PLoS ONE, Psychological Research, IEEE Journal of Biomedical and Health Informatics and Medical Physics.
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.