Kaiqi Dong
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 3
- Domain Adaptation and Few-Shot Learning 1
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- Advanced Neural Network Applications 3
- Medical Image Segmentation Techniques 1
- Multimodal Machine Learning Applications 1
- Co-authors
- Xueli Bai (5 shared papers)Peijun Hu (5 shared papers)Jingsong Li (5 shared papers)Wei Yang (1 shared paper)Zhenbo Xu (1 shared paper)Liusheng Huang (1 shared paper)Na Lu (1 shared paper)Yu Tian (4 shared papers)
- Journals
- Medical Physics (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Biomedical Signal Processing and Control (1 paper)Neurocomputing (1 paper)Studies in health technology and informatics (1 paper)
- Partner nations
- China
In The Last Decade
Kaiqi Dong
5 papers receiving 31 citations
Peers
Comparison fields: 5 of 18
- Medical Laboratory Technology 1
- Health Information Management 3
- Computer Vision and Pattern Recognition 14
- Artificial Intelligence 20
- Neurology 4
Countries citing papers authored by Kaiqi Dong
This map shows the geographic impact of Kaiqi 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 Kaiqi Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiqi Dong more than expected).
Fields of papers citing papers by Kaiqi Dong
This network shows the impact of papers produced by Kaiqi 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 Kaiqi Dong. The network helps show where Kaiqi Dong may publish in the future.
Co-authors
The 13 scholars most cited alongside Kaiqi Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 9 | |
| 2 | 2021 | 9 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2025 | 0 |
About Kaiqi Dong
Kaiqi Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 6 papers that have together received 31 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (3 papers), AI in cancer detection (3 papers), Advanced Neural Network Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Medical Image Segmentation Techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Medical Laboratory Technology (1 citation), Health Information Management (3 citations), Computer Vision and Pattern Recognition (14 citations), Artificial Intelligence (20 citations) and Neurology (4 citations). Kaiqi Dong has collaborated with scholars based in China. Frequent co-authors include Xueli Bai, Peijun Hu, Jingsong Li, Wei Yang, Zhenbo Xu, Liusheng Huang, Na Lu, Yu Tian, Tianshu Zhou and Xiang Li. Their work appears in journals such as Medical Physics, IEEE Journal of Biomedical and Health Informatics, Biomedical Signal Processing and Control, Neurocomputing and Studies in health technology and informatics.
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.