Dong Liang
Impact in
-
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Computational Mathematics top 2%
Papers in
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- Advanced MRI Techniques and Applications 132
- Medical Imaging Techniques and Applications 122
- Advanced Neuroimaging Techniques and Applications 22
- Radiation Dose and Imaging 21
Dong Liang
302 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Radiology, Nuclear Medicine and Imaging 3.6k
- Computational Mathematics 59
- Computer Vision and Pattern Recognition 1.2k
- Computational Mechanics 1.1k
- Biomedical Engineering 1.9k
Countries citing papers authored by Dong Liang
This map shows the geographic impact of Dong Liang'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 Dong Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Liang more than expected).
Fields of papers citing papers by Dong Liang
This network shows the impact of papers produced by Dong Liang. 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 Dong Liang. The network helps show where Dong Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dong Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 38 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 1 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 2018 | 1 | |
| 19 | 2016 | 15 | |
| 20 | 2015 | 7 |
About Dong Liang
Dong Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics and Radiation, having authored 337 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (132 papers), Medical Imaging Techniques and Applications (122 papers), Sparse and Compressive Sensing Techniques (71 papers), Advanced X-ray and CT Imaging (44 papers), Photoacoustic and Ultrasonic Imaging (29 papers), Image and Signal Denoising Methods (26 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Radiation Dose and Imaging (21 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.6k citations), Computational Mathematics (59 citations), Computer Vision and Pattern Recognition (1.2k citations), Computational Mechanics (1.1k citations) and Biomedical Engineering (1.9k citations). Dong Liang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Leslie Ying, Hairong Zheng, Shanshan Wang, Ziwen Ke, Xin Liu, Xi Peng, Qiegen Liu, Zhanli Hu, Bo Liu and Jiun‐Jie Wang. Their work appears in journals such as IEEE Transactions on Medical Imaging, Magnetic Resonance in Medicine, Medical Physics, Journal of X-Ray Science and Technology and IEEE Journal of Biomedical and Health Informatics.
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.