Xunning Hong
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics top 10%
- Neurology
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Shanshan LuTianming ZhanXiao‐Quan XuHai‐Bin ShiFei‐Yun WuZhenyu LuHao HuYi Chen
- Topics
- Radiomics and Machine Learning in Medical Imaging (11 papers)Glioma Diagnosis and Treatment (10 papers)MRI in cancer diagnosis (7 papers)
In The Last Decade
Xunning Hong
25 papers receiving 435 citations
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 225
- Genetics 119
- Neurology 80
- Neurology 72
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Xunning Hong
This map shows the geographic impact of Xunning Hong'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 Xunning Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xunning Hong more than expected).
Fields of papers citing papers by Xunning Hong
This network shows the impact of papers produced by Xunning Hong. 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 Xunning Hong. The network helps show where Xunning Hong may publish in the future.
Co-authorship network of co-authors of Xunning Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Xunning Hong. A scholar is included among the top collaborators of Xunning Hong 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 Xunning Hong. Xunning Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 13 | |
| 9 | 14 | |
| 10 | 30 | |
| 11 | 13 | |
| 12 | 15 | |
| 13 | 25 | |
| 14 | 8 | |
| 15 | 10 | |
| 16 | 34 | |
| 17 | 42 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 7 |
About Xunning Hong
Xunning Hong is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 25 papers that have together received 443 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Glioma Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (7 papers). The work is most often cited by research in Genetics (119 citations), Radiology, Nuclear Medicine and Imaging (225 citations) and Neurology (72 citations). Xunning Hong has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Shanshan Lu, Tianming Zhan, Xiao‐Quan Xu, Hai‐Bin Shi, Fei‐Yun Wu, Zhenyu Lu, Hao Hu, Yi Chen, Shuihua Wang and Guo‐Yi Su. Their work appears in journals such as IEEE Access, Journal of Magnetic Resonance Imaging and Pattern Recognition Letters.
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.