Qi Dong
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Shaogang GongXiatian ZhuJiabo HuangJiang XieCaifeng WanFenghua LiYan WangWu Zhang
- Topics
- Domain Adaptation and Few-Shot Learning (6 papers)Advanced Neural Network Applications (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInformation SciencesInternational Journal of Biological Macromolecules
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Qi Dong
17 papers receiving 498 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 264
- Computer Vision and Pattern Recognition 246
- Radiology, Nuclear Medicine and Imaging 55
- Biomedical Engineering 49
- Electrical and Electronic Engineering 43
Countries citing papers authored by Qi Dong
This map shows the geographic impact of Qi 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 Qi Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Dong more than expected).
Fields of papers citing papers by Qi Dong
This network shows the impact of papers produced by Qi 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 Qi Dong. The network helps show where Qi Dong may publish in the future.
Co-authorship network of co-authors of Qi Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Dong. A scholar is included among the top collaborators of Qi 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 Qi Dong. Qi 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 16 | |
| 8 | 12 | |
| 9 | 41 | |
| 10 | 11 | |
| 11 | 19 | |
| 12 | 32 | |
| 13 | 35 | |
| 14 | 242 | |
| 15 | 54 | |
| 16 | Analysis and Research on the Communication Process of Enterprise Internet Public Opinion Based on Web2.0 | 2 |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 7 |
About Qi Dong
Qi Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Condensed Matter Physics, having authored 20 papers that have together received 504 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (246 citations), Artificial Intelligence (264 citations) and Health Informatics (6 citations). Qi Dong has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Shaogang Gong, Xiatian Zhu, Jiabo Huang, Jiang Xie, Caifeng Wan, Fenghua Li, Yan Wang, Wu Zhang, Chengrun Du and Yugang Hu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and International Journal of Biological Macromolecules.
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.