Mai Xu
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 0.5%
- Electrical and Electronic Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Media Technology top 0.5%
- Co-authors
- Zulin WangXin DengRen YangLai JiangZhenyu GuanChen LiF.C. LeeShengxi Li
- Topics
- Image and Video Quality Assessment (58 papers)Advanced Image Processing Techniques (54 papers)Advanced Vision and Imaging (45 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Power ElectronicsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Mai Xu
197 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 3.5k
- Signal Processing 1.2k
- Electrical and Electronic Engineering 857
- Radiology, Nuclear Medicine and Imaging 689
- Media Technology 674
Countries citing papers authored by Mai Xu
This map shows the geographic impact of Mai Xu'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 Mai Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Xu more than expected).
Fields of papers citing papers by Mai Xu
This network shows the impact of papers produced by Mai Xu. 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 Mai Xu. The network helps show where Mai Xu may publish in the future.
Co-authorship network of co-authors of Mai Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Mai Xu. A scholar is included among the top collaborators of Mai Xu 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 Mai Xu. Mai Xu 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 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 131 | |
| 10 | 15 | |
| 11 | 128 | |
| 12 | 33 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 177 | |
| 16 | 24 | |
| 17 | 14 | |
| 18 | 22 | |
| 19 | Understanding and Predicting the Memorability of Natural Scene Images. | 1 |
| 20 | 5 |
About Mai Xu
Mai Xu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 214 papers that have together received 5.6k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (58 papers), Advanced Image Processing Techniques (54 papers) and Advanced Vision and Imaging (45 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Signal Processing (1.2k citations) and Media Technology (674 citations). Mai Xu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zulin Wang, Xin Deng, Ren Yang, Lai Jiang, Zhenyu Guan, Chen Li, F.C. Lee, Shengxi Li, Tianyi Li and Xiaofei Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Power Electronics and IEEE Transactions on Geoscience and Remote Sensing.
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.