Xiaowei Ding
Impact in
-
- Cardiovascular Disease and Adiposity
- Cardiovascular Function and Risk Factors
-
- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Retinal Imaging and Analysis 4
- Cardiac Imaging and Diagnostics 3
- Radiomics and Machine Learning in Medical Imaging 2
-
- Cardiovascular Disease and Adiposity 6
- Cardiovascular Function and Risk Factors 3
- Co-authors
- Demetri Terzopoulos (8 shared papers)Piotr J. Slomka (6 shared papers)Damini Dey (6 shared papers)Daniel S. Berman (6 shared papers)Mariana Díaz‐Zamudio (5 shared papers)Nima Tajbakhsh (3 shared papers)Rende Shui (1 shared paper)Junying Liang (1 shared paper)
- Journals
- Medical Physics (1 paper)Journal of cardiovascular computed tomography (1 paper)Psychological Research (1 paper)PLoS ONE (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaowei Ding
14 papers receiving 229 citations
Peers
Comparison fields: 5 of 38
- Cardiology and Cardiovascular Medicine 109
- Radiology, Nuclear Medicine and Imaging 83
- Computer Vision and Pattern Recognition 38
- Cognitive Neuroscience 30
- Health Informatics 2
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2019 | 42 | |
| 3 | 2015 | 35 | |
| 4 | 2013 | 32 | |
| 5 | 2014 | 22 | |
| 6 | 2019 | 22 | |
| 7 | 2015 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2016 | 7 | |
| 10 | 2022 | 3 | |
| 11 | Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. | 2015 | 3 |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | Automated Quantitative Analysis of Cardiac Medical Images | 2015 | 1 |
| 15 | 2023 | 0 | |
| 16 | 2020 | 0 | |
| 17 | 2025 | 0 |
About Xiaowei Ding
Xiaowei Ding is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Ophthalmology, having authored 17 papers that have together received 239 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (6 papers), Retinal Imaging and Analysis (4 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiac Imaging and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Digital Imaging for Blood Diseases (2 papers), Retinal and Optic Conditions (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (109 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Computer Vision and Pattern Recognition (38 citations), Cognitive Neuroscience (30 citations) and Health Informatics (2 citations). Xiaowei Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Demetri Terzopoulos, Piotr J. Slomka, Damini Dey, Daniel S. Berman, Mariana Díaz‐Zamudio, Nima Tajbakhsh, Rende Shui, Junying Liang, Zaifeng Gao and Yong Lü. Their work appears in journals such as Medical Physics, Journal of cardiovascular computed tomography, Psychological Research, PLoS ONE and IEEE Journal of Biomedical and Health Informatics.
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.