Tongtong Che
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Psychiatry and Mental health
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Medical Imaging Techniques and Applications (5 papers)Medical Image Segmentation Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Image Processing
- Partner nations
- ChinaAustraliaNetherlands
In The Last Decade
Tongtong Che
18 papers receiving 306 citations
Peers
Comparison fields: 5 of 76
- Radiology, Nuclear Medicine and Imaging 146
- Artificial Intelligence 68
- Computer Vision and Pattern Recognition 67
- Cognitive Neuroscience 66
- Psychiatry and Mental health 45
Countries citing papers authored by Tongtong Che
This map shows the geographic impact of Tongtong Che'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 Tongtong Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tongtong Che more than expected).
Fields of papers citing papers by Tongtong Che
This network shows the impact of papers produced by Tongtong Che. 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 Tongtong Che. The network helps show where Tongtong Che may publish in the future.
Co-authorship network of co-authors of Tongtong Che
This figure shows the co-authorship network connecting the top 25 collaborators of Tongtong Che. A scholar is included among the top collaborators of Tongtong Che 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 Tongtong Che. Tongtong Che is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 84 | |
| 12 | 5 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 40 | |
| 16 | 23 | |
| 17 | 15 | |
| 18 | Screening for Glaucoma from Fundus Images via Multitask Deep Learning | 1 |
| 19 | 1 | |
| 20 | 17 |
About Tongtong Che
Tongtong Che is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Complementary and alternative medicine, having authored 22 papers that have together received 313 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (5 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (146 citations), Neurology (44 citations) and Health Informatics (6 citations). Tongtong Che has collaborated with scholars based in China, Australia and Netherlands. Frequent co-authors include Shuyu Li, Xiuying Wang, Yan Zhao, Guoqing Bao, Yuanjie Zheng, Kun Zhao, Qiongling Li, Yong Liu, Yan Zhao and Yanhui Ding. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.
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.