Jing Yuan
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Transportation top 0.2%
- Biomedical Engineering top 5%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Yu ZhengXing XieYì WángAnil T. AhujaAnn D. KingGuangzhong SunLiuhang ZhangKunwar S. Bhatia
- Topics
- Advanced MRI Techniques and Applications (77 papers)MRI in cancer diagnosis (38 papers)Radiomics and Machine Learning in Medical Imaging (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Agricultural and Food Chemistry
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Jing Yuan
162 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Radiology, Nuclear Medicine and Imaging 2.1k
- Transportation 1.0k
- Biomedical Engineering 488
- Pulmonary and Respiratory Medicine 429
- Epidemiology 424
Countries citing papers authored by Jing Yuan
This map shows the geographic impact of Jing Yuan'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 Jing Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yuan more than expected).
Fields of papers citing papers by Jing Yuan
This network shows the impact of papers produced by Jing Yuan. 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 Jing Yuan. The network helps show where Jing Yuan may publish in the future.
Co-authorship network of co-authors of Jing Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yuan. A scholar is included among the top collaborators of Jing Yuan 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 Jing Yuan. Jing Yuan 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 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 110 | |
| 8 | Laplacian pyramid-based complex neural network learning for fast MR imaging | 6 |
| 9 | HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. | 5 |
| 10 | 9 | |
| 11 | 12 | |
| 12 | 57 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 13 | |
| 20 | 1 |
About Jing Yuan
Jing Yuan is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biophysics, having authored 171 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (77 papers), MRI in cancer diagnosis (38 papers) and Radiomics and Machine Learning in Medical Imaging (21 papers). The work is most often cited by research in Transportation (1.0k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Otorhinolaryngology (158 citations). Jing Yuan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yu Zheng, Xing Xie, Yì Wáng, Anil T. Ahuja, Ann D. King, Guangzhong Sun, Liuhang Zhang, Kunwar S. Bhatia, Jinyuan Zhou and Weitian Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.
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.