Ying Ding
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Hepatology 15
- Hepatocellular Carcinoma Treatment and Prognosis 14
-
- MRI in cancer diagnosis 8
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Shengxiang Rao (25 shared papers)Caizhong Chen (15 shared papers)Li Yang (10 shared papers)Wentao Wang (6 shared papers)Mengsu Zeng (7 shared papers)Mengsu Zeng (8 shared papers)Dongsheng Gu (2 shared papers)Jie Tian (2 shared papers)
- Journals
- European Radiology (5 papers)Journal of Magnetic Resonance Imaging (3 papers)Hepatology International (2 papers)European Journal of Radiology (2 papers)Abdominal Radiology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ying Ding
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Hepatology 479
- Radiology, Nuclear Medicine and Imaging 248
- Cancer Research 88
- Epidemiology 165
- Pulmonary and Respiratory Medicine 156
Countries citing papers authored by Ying Ding
This map shows the geographic impact of Ying 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 Ying Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Ding more than expected).
Fields of papers citing papers by Ying Ding
This network shows the impact of papers produced by Ying 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 Ying Ding. The network helps show where Ying Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 246 | |
| 2 | 2017 | 146 | |
| 3 | 2017 | 129 | |
| 4 | 2019 | 70 | |
| 5 | 2020 | 68 | |
| 6 | 2016 | 58 | |
| 7 | 2014 | 50 | |
| 8 | 2014 | 44 | |
| 9 | 2018 | 43 | |
| 10 | 2019 | 33 | |
| 11 | 2014 | 29 | |
| 12 | 2016 | 28 | |
| 13 | 2016 | 26 | |
| 14 | 2016 | 22 | |
| 15 | 2019 | 20 | |
| 16 | 2018 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2020 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2019 | 13 |
About Ying Ding
Ying Ding is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), MRI in cancer diagnosis (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Aortic aneurysm repair treatments (4 papers), Aortic Disease and Treatment Approaches (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Ammonia Synthesis and Nitrogen Reduction (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (479 citations), Radiology, Nuclear Medicine and Imaging (248 citations), Cancer Research (88 citations), Epidemiology (165 citations) and Pulmonary and Respiratory Medicine (156 citations). Ying Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shengxiang Rao, Caizhong Chen, Li Yang, Wentao Wang, Mengsu Zeng, Mengsu Zeng, Dongsheng Gu, Jie Tian, Jingwei Wei and Chun Yang. Their work appears in journals such as European Radiology, Journal of Magnetic Resonance Imaging, Hepatology International, European Journal of Radiology and Abdominal 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.