Ting Song
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Surgery
- Pediatrics, Perinatology and Child Health top 10%
- Biomedical Engineering
- Co-authors
- Henry RusinekVivian S. LeeLouisa BokachevaQun ChenNiels OesingmannAndrew F. LaineTianfa DongGerhard Laub
- Topics
- Advanced MRI Techniques and Applications (8 papers)MRI in cancer diagnosis (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingOtorhinolaryngologyPediatrics, Perinatology and Child Health
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ting Song
25 papers receiving 690 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 500
- Pulmonary and Respiratory Medicine 159
- Surgery 113
- Pediatrics, Perinatology and Child Health 112
- Biomedical Engineering 81
Countries citing papers authored by Ting Song
This map shows the geographic impact of Ting Song'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 Ting Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Song more than expected).
Fields of papers citing papers by Ting Song
This network shows the impact of papers produced by Ting Song. 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 Ting Song. The network helps show where Ting Song may publish in the future.
Co-authorship network of co-authors of Ting Song
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Song. A scholar is included among the top collaborators of Ting Song 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 Ting Song. Ting Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 20 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 43 | |
| 8 | 51 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 28 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 102 | |
| 16 | 15 | |
| 17 | 114 | |
| 18 | 8 | |
| 19 | 60 | |
| 20 | 122 |
About Ting Song
Ting Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Radiation, having authored 27 papers that have together received 699 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), MRI in cancer diagnosis (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (500 citations), Otorhinolaryngology (25 citations) and Pediatrics, Perinatology and Child Health (112 citations). Ting Song has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Henry Rusinek, Vivian S. Lee, Louisa Bokacheva, Qun Chen, Niels Oesingmann, Andrew F. Laine, Tianfa Dong, Gerhard Laub, Qun Chen and Ruth Lim. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Access and American Journal of Roentgenology.
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.