Ruining Deng
Impact in
- Health Informatics top 10%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
Papers in
-
- AI in cancer detection 28
-
- Advanced Neural Network Applications 8
- Medical Image Segmentation Techniques 7
- Digital Imaging for Blood Diseases 5
- Co-authors
- Yuankai Huo (51 shared papers)Haichun Yang (25 shared papers)Agnes B. Fogo (14 shared papers)Quan Liu (4 shared papers)Tianyuan Yao (23 shared papers)Aadarsh Jha (8 shared papers)Bennett A. Landman (16 shared papers)Mengyang Zhao (5 shared papers)
- Journals
- Lecture notes in computer science (14 papers)IEEE Transactions on Biomedical Engineering (1 paper)IEEE Transactions on Medical Imaging (1 paper)IEEE Pulse (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ruining Deng
46 papers receiving 486 citations
Ruining Deng's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 15
- Computer Vision and Pattern Recognition 203
- Artificial Intelligence 225
- Biophysics 36
- Radiology, Nuclear Medicine and Imaging 121
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2021 | 54 | |
| 3 | 2024 | 45 | |
| 4 | 2020 | 36 | |
| 5 | 2022 | 29 | |
| 6 | 2023 | 27 | |
| 7 | 2024 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2022 | 21 | |
| 10 | Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging Hit paper breakdown → | 2025 | 20 |
| 11 | 2021 | 20 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 4 |
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 55 papers that have together received 494 indexed citations. Recurring topics across this work include AI in cancer detection (28 papers), Cell Image Analysis Techniques (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (7 papers), Colorectal Cancer Screening and Detection (7 papers), Digital Imaging for Blood Diseases (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Health Informatics (15 citations), Computer Vision and Pattern Recognition (203 citations), Artificial Intelligence (225 citations), Biophysics (36 citations) and Radiology, Nuclear Medicine and Imaging (121 citations). Ruining Deng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yuankai Huo, Haichun Yang, Agnes B. Fogo, Quan Liu, Tianyuan Yao, Aadarsh Jha, Bennett A. Landman, Mengyang Zhao, Shunxing Bao and Anita Mahadevan‐Jansen. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging, IEEE Pulse and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.