Ning Guo
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Topics
- Medical Imaging Techniques and Applications (14 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Advanced MRI Techniques and Applications (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Ning Guo
20 papers receiving 760 citations
Peers
Comparison fields: 5 of 112
- Radiology, Nuclear Medicine and Imaging 444
- Biomedical Engineering 189
- Computer Vision and Pattern Recognition 186
- Artificial Intelligence 133
- Pulmonary and Respiratory Medicine 83
Countries citing papers authored by Ning Guo
This map shows the geographic impact of Ning Guo'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 Ning Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Guo more than expected).
Fields of papers citing papers by Ning Guo
This network shows the impact of papers produced by Ning Guo. 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 Ning Guo. The network helps show where Ning Guo may publish in the future.
Co-authorship network of co-authors of Ning Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Ning Guo. A scholar is included among the top collaborators of Ning Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ning Guo. Ning Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 51 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | 14 | |
| 6 | 181 | |
| 7 | 273 | |
| 8 | 23 | |
| 9 | 15 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 40 | |
| 13 | 25 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | Automatic respiratory gating of TOF-PET data using time-of-flight information | 2 |
| 17 | 0 | |
| 18 | Feasibility of respiratory motion compensated reconstruction using 4D PET-derived deformation fields | 2 |
| 19 | 90 | |
| 20 | 1 |
About Ning Guo
Ning Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Statistics and Probability, having authored 22 papers that have together received 774 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (444 citations), Health Informatics (18 citations) and Computer Vision and Pattern Recognition (186 citations). Ning Guo has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Quanzheng Li, Xiang Li, Zhe Guo, Heng Huang, Kuang Gong, Huafeng Liu, Jianan Cui, Kyungsang Kim, Zhifang Wu and Chenxi Wu. Their work appears in journals such as Biomaterials, NeuroImage and Scientific Reports.
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.