Xiaodong Xie
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 0.5%
- Signal Processing top 2%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Huizhu JiaYuanchao BaiZhilin WangQin XuWen GaoJason CongWilliam HsuMeng Li
- Topics
- Video Coding and Compression Technologies (45 papers)Advanced Vision and Imaging (33 papers)Advanced Image Processing Techniques (24 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingPattern Recognition
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaodong Xie
83 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 2.1k
- Media Technology 730
- Signal Processing 267
- Biomedical Engineering 216
- Artificial Intelligence 197
Countries citing papers authored by Xiaodong Xie
This map shows the geographic impact of Xiaodong Xie'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 Xiaodong Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Xie more than expected).
Fields of papers citing papers by Xiaodong Xie
This network shows the impact of papers produced by Xiaodong Xie. 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 Xiaodong Xie. The network helps show where Xiaodong Xie may publish in the future.
Co-authorship network of co-authors of Xiaodong Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Xie. A scholar is included among the top collaborators of Xiaodong Xie 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 Xiaodong Xie. Xiaodong Xie 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 45 | |
| 12 | 221 | |
| 13 | FFA-Net: Feature Fusion Attention Network for Single Image Dehazingbreakdown → | 1033 |
| 14 | 3 | |
| 15 | 25 | |
| 16 | 55 | |
| 17 | 5 | |
| 18 | An efficient NEON-based quarter-pel interpolation method for HEVC | 2 |
| 19 | 38 | |
| 20 | 1 |
About Xiaodong Xie
Xiaodong Xie is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (45 papers), Advanced Vision and Imaging (33 papers) and Advanced Image Processing Techniques (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Media Technology (730 citations) and Signal Processing (267 citations). Xiaodong Xie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huizhu Jia, Yuanchao Bai, Zhilin Wang, Qin Xu, Wen Gao, Jason Cong, William Hsu, Meng Li, Fan Yang and Chuang Zhu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Pattern Recognition.
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.