Tong Tong
- Biomedical Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Artificial Intelligence top 10%
- Molecular Biology
- Co-authors
- Kun WangDaniel RueckertQinquan GaoLiang ChenKatherine R. GrayJie TianShaohang XuTianan Jiang
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)Photoacoustic and Ultrasonic Imaging (6 papers)Cervical and Thoracic Myelopathy (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancerBiochemical and Biophysical Research Communications
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Tong Tong
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Biomedical Engineering 368
- Radiology, Nuclear Medicine and Imaging 337
- Surgery 200
- Artificial Intelligence 183
- Molecular Biology 146
Countries citing papers authored by Tong Tong
This map shows the geographic impact of Tong Tong'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 Tong Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Tong more than expected).
Fields of papers citing papers by Tong Tong
This network shows the impact of papers produced by Tong Tong. 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 Tong Tong. The network helps show where Tong Tong may publish in the future.
Co-authorship network of co-authors of Tong Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Tong Tong. A scholar is included among the top collaborators of Tong Tong 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 Tong Tong. Tong Tong 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 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 17 | |
| 7 | 90 | |
| 8 | 3 | |
| 9 | 53 | |
| 10 | 14 | |
| 11 | 55 | |
| 12 | 12 | |
| 13 | 51 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | Population Pharmacokinetics of Intravenous Infusing Busulfan in Patients Undergoing Hematopoietic Stem Cell Transplantation | 2 |
| 17 | 8 | |
| 18 | 49 | |
| 19 | 27 | |
| 20 | 96 |
About Tong Tong
Tong Tong is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Biomedical Engineering, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Photoacoustic and Ultrasonic Imaging (6 papers) and Cervical and Thoracic Myelopathy (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (337 citations), Health Informatics (18 citations) and Neurology (98 citations). Tong Tong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kun Wang, Daniel Rueckert, Qinquan Gao, Liang Chen, Katherine R. Gray, Jie Tian, Shaohang Xu, Tianan Jiang, Jionghui Gu and Xin Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Biochemical and Biophysical Research Communications.
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.