Caixia Dong
- Oncology
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Topics
- Medical Image Segmentation Techniques (6 papers)AI in cancer detection (5 papers)Colorectal Cancer Treatments and Studies (4 papers)
- Partner nations
- ChinaAustraliaNetherlands
In The Last Decade
Caixia Dong
31 papers receiving 555 citations
Peers
Comparison fields: 5 of 82
- Oncology 191
- Computer Vision and Pattern Recognition 185
- Artificial Intelligence 179
- Radiology, Nuclear Medicine and Imaging 118
- Pulmonary and Respiratory Medicine 87
Countries citing papers authored by Caixia Dong
This map shows the geographic impact of Caixia Dong'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 Caixia Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caixia Dong more than expected).
Fields of papers citing papers by Caixia Dong
This network shows the impact of papers produced by Caixia Dong. 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 Caixia Dong. The network helps show where Caixia Dong may publish in the future.
Co-authorship network of co-authors of Caixia Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Caixia Dong. A scholar is included among the top collaborators of Caixia Dong 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 Caixia Dong. Caixia Dong 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 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 34 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 32 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 135 | |
| 14 | 28 | |
| 15 | 37 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 21 | |
| 19 | 11 | |
| 20 | 16 |
About Caixia Dong
Caixia Dong is a scholar working on Gastroenterology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 563 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), AI in cancer detection (5 papers) and Colorectal Cancer Treatments and Studies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Neurology (60 citations) and Oncology (191 citations). Caixia Dong has collaborated with scholars based in China, Australia and Netherlands. Frequent co-authors include Songhua Xu, Zongfang Li, Duwei Dai, Chunyan Zhang, Qingsen Yan, Nana Luo, Ying Yuan, Yizhi Zhang, Shanshan Weng and Lizhen Zhu. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Expert Systems with Applications.
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.