Enming Cui
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 20
- MRI in cancer diagnosis 8
- Medical Imaging Techniques and Applications 4
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- Renal cell carcinoma treatment 8
- Co-authors
- Fan Lin (11 shared papers)Wansheng Long (16 shared papers)Lei Yi (6 shared papers)Kumaresan Sandrasegaran (5 shared papers)Ronggang Li (4 shared papers)Zhuangsheng Liu (5 shared papers)Bao Feng (10 shared papers)Liangping Luo (3 shared papers)
- Journals
- Abdominal Radiology (7 papers)European Radiology (4 papers)European Journal of Radiology (3 papers)Nature Communications (2 papers)Clinical Radiology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Enming Cui
33 papers receiving 650 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 30
- Radiology, Nuclear Medicine and Imaging 461
- Pulmonary and Respiratory Medicine 333
- Hepatology 58
- Oncology 104
Countries citing papers authored by Enming Cui
This map shows the geographic impact of Enming Cui'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 Enming Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enming Cui more than expected).
Fields of papers citing papers by Enming Cui
This network shows the impact of papers produced by Enming Cui. 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 Enming Cui. The network helps show where Enming Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Enming Cui, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2020 | 76 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 53 | |
| 5 | 2018 | 49 | |
| 6 | 2019 | 44 | |
| 7 | 2020 | 35 | |
| 8 | 2020 | 34 | |
| 9 | 2019 | 28 | |
| 10 | 2024 | 25 | |
| 11 | 2019 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 16 | |
| 14 | 2019 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2023 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 7 |
About Enming Cui
Enming Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology, Biomedical Engineering and Epidemiology, having authored 34 papers that have together received 656 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Renal cell carcinoma treatment (8 papers), MRI in cancer diagnosis (8 papers), Advanced X-ray and CT Imaging (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Medical Imaging Techniques and Applications (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (461 citations), Pulmonary and Respiratory Medicine (333 citations), Hepatology (58 citations) and Oncology (104 citations). Enming Cui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fan Lin, Wansheng Long, Lei Yi, Kumaresan Sandrasegaran, Ronggang Li, Zhuangsheng Liu, Bao Feng, Liangping Luo, Yehang Chen and Temel Tirkes. Their work appears in journals such as Abdominal Radiology, European Radiology, European Journal of Radiology, Nature Communications 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.