Yuning Gu
Impact in
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Advanced MRI Techniques and Applications 14
- MRI in cancer diagnosis 5
- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 3
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- Medical Image Segmentation Techniques 8
- Advanced Neural Network Applications 3
- Co-authors
- Xin Yu (15 shared papers)Yuchi Liu (5 shared papers)He Hu (4 shared papers)Nicole F. Steinmetz (3 shared papers)Yifan Zhang (3 shared papers)Sourabh Shukla (1 shared paper)Zhi‐Pei Liang (3 shared papers)M. Hema (1 shared paper)
- Journals
- Magnetic Resonance in Medicine (7 papers)IEEE Transactions on Biomedical Engineering (3 papers)Optics Express (2 papers)Scientific Reports (2 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuning Gu
29 papers receiving 388 citations
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 161
- Computational Mathematics 3
- Biomaterials 36
- Spectroscopy 39
- Biotechnology 19
Countries citing papers authored by Yuning Gu
This map shows the geographic impact of Yuning Gu'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 Yuning Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuning Gu more than expected).
Fields of papers citing papers by Yuning Gu
This network shows the impact of papers produced by Yuning Gu. 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 Yuning Gu. The network helps show where Yuning Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuning Gu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 93 | |
| 2 | 2017 | 66 | |
| 3 | 2019 | 49 | |
| 4 | 2017 | 44 | |
| 5 | 2017 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2024 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Yuning Gu
Yuning Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Materials Chemistry, Biomedical Engineering and Molecular Biology, having authored 35 papers that have together received 395 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (14 papers), Medical Image Segmentation Techniques (8 papers), MRI in cancer diagnosis (5 papers), Medical Imaging Techniques and Applications (5 papers), Lanthanide and Transition Metal Complexes (5 papers), GaN-based semiconductor devices and materials (4 papers), Advanced Neural Network Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (161 citations), Computational Mathematics (3 citations), Biomaterials (36 citations), Spectroscopy (39 citations) and Biotechnology (19 citations). Yuning Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin Yu, Yuchi Liu, He Hu, Nicole F. Steinmetz, Yifan Zhang, Sourabh Shukla, Zhi‐Pei Liang, M. Hema, Fan Lam and Bryan Clifford. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Biomedical Engineering, Optics Express, Scientific Reports 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.