Ruining Deng
Impact in
- Health Informatics top 10%
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
Papers in
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- AI in cancer detection 22
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- Medical Image Segmentation Techniques 5
- Digital Imaging for Blood Diseases 5
- Advanced Neural Network Applications 4
- Co-authors
- Yuankai Huo (39 shared papers)Haichun Yang (17 shared papers)Agnes B. Fogo (9 shared papers)Quan Liu (3 shared papers)Bennett A. Landman (12 shared papers)Shunxing Bao (12 shared papers)Tianyuan Yao (17 shared papers)Cam Nguyen (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)IEEE Pulse (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)IEEE Transactions on Medical Imaging (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Ruining Deng
36 papers receiving 301 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 15
- Computer Vision and Pattern Recognition 128
- Artificial Intelligence 152
- Biophysics 26
- Radiology, Nuclear Medicine and Imaging 98
Countries citing papers authored by Ruining Deng
This map shows the geographic impact of Ruining Deng'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 Ruining Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruining Deng more than expected).
Fields of papers citing papers by Ruining Deng
This network shows the impact of papers produced by Ruining Deng. 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 Ruining Deng. The network helps show where Ruining Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruining Deng, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2024 | 35 | |
| 3 | 2020 | 29 | |
| 4 | 2022 | 28 | |
| 5 | 2024 | 26 | |
| 6 | 2023 | 24 | |
| 7 | 2025 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Ruining Deng
Ruining Deng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biophysics and Oncology, having authored 42 papers that have together received 302 indexed citations. Recurring topics across this work include AI in cancer detection (22 papers), Cell Image Analysis Techniques (8 papers), Colorectal Cancer Screening and Detection (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Image Segmentation Techniques (5 papers), Digital Imaging for Blood Diseases (5 papers), Advanced Neural Network Applications (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Health Informatics (15 citations), Computer Vision and Pattern Recognition (128 citations), Artificial Intelligence (152 citations), Biophysics (26 citations) and Radiology, Nuclear Medicine and Imaging (98 citations). Ruining Deng has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Yuankai Huo, Haichun Yang, Agnes B. Fogo, Quan Liu, Bennett A. Landman, Shunxing Bao, Tianyuan Yao, Cam Nguyen, Aadarsh Jha and Joseph T. Roland. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Pulse, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Computers in Biology and Medicine.
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.