Xiaoyi Dong
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Topics
- Adversarial Robustness in Machine Learning (8 papers)Anomaly Detection Techniques and Applications (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Journals
- IEEE Transactions on Image ProcessingNeurocomputingIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoyi Dong
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 504
- Media Technology 252
- Electrical and Electronic Engineering 161
- Aerospace Engineering 136
Countries citing papers authored by Xiaoyi Dong
This map shows the geographic impact of Xiaoyi 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 Xiaoyi Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyi Dong more than expected).
Fields of papers citing papers by Xiaoyi Dong
This network shows the impact of papers produced by Xiaoyi 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 Xiaoyi Dong. The network helps show where Xiaoyi Dong may publish in the future.
Co-authorship network of co-authors of Xiaoyi Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyi Dong. A scholar is included among the top collaborators of Xiaoyi 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 Xiaoyi Dong. Xiaoyi 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 | 13 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | Mobile-Former: Bridging MobileNet and Transformerbreakdown → | 411 |
| 13 | 51 | |
| 14 | CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windowsbreakdown → | 824 |
| 15 | 22 | |
| 16 | 56 | |
| 17 | 6 | |
| 18 | 38 | |
| 19 | 48 | |
| 20 | 20 |
About Xiaoyi Dong
Xiaoyi Dong is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (252 citations) and Artificial Intelligence (504 citations). Xiaoyi Dong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dongdong Chen, Nenghai Yu, Weiming Zhang, Baining Guo, Dong Chen, Jianmin Bao, Lu Yuan, Mengchen Liu, Xiyang Dai and Zicheng Liu. Their work appears in journals such as IEEE Transactions on Image Processing, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.
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.