Xu Jia
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Biomedical Engineering
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Co-authors
- Huchuan LuJianzhuang LiuSongjiang LiTao HuangQi TianChunjing XuTakashi IsobeLin Liu
- Topics
- Advanced Image Processing Techniques (16 papers)Advanced Vision and Imaging (12 papers)Image and Signal Denoising Methods (10 papers)
- Journals
- IEEE Transactions on Image ProcessingJournal of Alloys and CompoundsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xu Jia
34 papers receiving 850 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 671
- Media Technology 315
- Biomedical Engineering 76
- Artificial Intelligence 65
- Management Science and Operations Research 49
Countries citing papers authored by Xu Jia
This map shows the geographic impact of Xu Jia'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 Xu Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Jia more than expected).
Fields of papers citing papers by Xu Jia
This network shows the impact of papers produced by Xu Jia. 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 Xu Jia. The network helps show where Xu Jia may publish in the future.
Co-authorship network of co-authors of Xu Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Xu Jia. A scholar is included among the top collaborators of Xu Jia 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 Xu Jia. Xu Jia 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 38 | |
| 15 | 31 | |
| 16 | 5 | |
| 17 | 36 | |
| 18 | 71 | |
| 19 | Exemplar Guided Unsupervised Image-to-Image Translation. | 4 |
| 20 | 5 |
About Xu Jia
Xu Jia is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 41 papers that have together received 863 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (16 papers), Advanced Vision and Imaging (12 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Media Technology (315 citations), Computer Vision and Pattern Recognition (671 citations) and Structural Biology (11 citations). Xu Jia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Huchuan Lu, Jianzhuang Liu, Songjiang Li, Tao Huang, Qi Tian, Chunjing Xu, Takashi Isobe, Lin Liu, Jiu-Ying Dong and Shu‐Ping Wan. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Alloys and Compounds and IEEE Transactions on Neural Networks and Learning Systems.
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.