Jiule Ding
Impact in
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
Papers in
-
- Renal cell carcinoma treatment 3
- Renal and Vascular Pathologies 2
-
- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Wei Xing (23 shared papers)Zhenxing Jiang (11 shared papers)Jie Chen (15 shared papers)Zhaoyu Xing (6 shared papers)Di Jia (6 shared papers)Hua Zhou (3 shared papers)Li Cui (2 shared papers)Yongming Dai (4 shared papers)
- Journals
- Academic Radiology (4 papers)Acta Radiologica (3 papers)PLoS ONE (2 papers)Korean Journal of Radiology (1 paper)Clinical Radiology (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Jiule Ding
27 papers receiving 352 citations
Peers
Comparison fields: 5 of 48
- Radiology, Nuclear Medicine and Imaging 142
- Nephrology 27
- Pulmonary and Respiratory Medicine 116
- Hepatology 12
- Health Informatics 2
Countries citing papers authored by Jiule Ding
This map shows the geographic impact of Jiule 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 Jiule Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiule Ding more than expected).
Fields of papers citing papers by Jiule Ding
This network shows the impact of papers produced by Jiule 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 Jiule Ding. The network helps show where Jiule Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiule 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2018 | 30 | |
| 3 | 2018 | 29 | |
| 4 | 2020 | 26 | |
| 5 | 2015 | 24 | |
| 6 | 2013 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2015 | 14 | |
| 9 | 2013 | 9 | |
| 10 | 2012 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2015 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2013 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Jiule Ding
Jiule Ding is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Nephrology, Hepatology and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 353 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Renal cell carcinoma treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Renal and Vascular Pathologies (2 papers), Dialysis and Renal Disease Management (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Advanced X-ray and CT Imaging (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (142 citations), Nephrology (27 citations), Pulmonary and Respiratory Medicine (116 citations), Hepatology (12 citations) and Health Informatics (2 citations). Jiule Ding has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Wei Xing, Zhenxing Jiang, Jie Chen, Zhaoyu Xing, Di Jia, Hua Zhou, Li Cui, Yongming Dai, Jiani Hu and Min Yang. Their work appears in journals such as Academic Radiology, Acta Radiologica, PLoS ONE, Korean Journal of Radiology and Clinical Radiology.
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.