Chen Xu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Computational Mechanics top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Rachel WilliamsYi TangGabriela CzannerLu ZhangBryan M. WilliamsYalin ZhengS. Rao VallabhaneniWen‐Bin Zou
- Topics
- Image and Signal Denoising Methods (15 papers)Sparse and Compressive Sensing Techniques (10 papers)Advanced Image Processing Techniques (9 papers)
- Journals
- CarbonIEEE AccessPattern Recognition
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chen Xu
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 583
- Artificial Intelligence 246
- Media Technology 166
- Computational Mechanics 135
- Radiology, Nuclear Medicine and Imaging 110
Countries citing papers authored by Chen Xu
This map shows the geographic impact of Chen 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 Chen Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Xu more than expected).
Fields of papers citing papers by Chen Xu
This network shows the impact of papers produced by Chen 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 Chen Xu. The network helps show where Chen Xu may publish in the future.
Co-authorship network of co-authors of Chen Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Chen Xu. A scholar is included among the top collaborators of Chen 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 Chen Xu. Chen 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 | 8 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 77 | |
| 6 | 18 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 172 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 4 | |
| 16 | 37 | |
| 17 | The Measure of the Work-family Conflict of Chinese Elementary and Secondary School Teachers | 8 |
| 18 | 1 | |
| 19 | 12 | |
| 20 | The Effect of Occupational Stress on The Class Interaction of Middle and Primary School Teachers | 0 |
About Chen Xu
Chen Xu is a scholar working on Computer Vision and Pattern Recognition, Leadership and Management and Computational Mechanics, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (15 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Image Processing Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (583 citations), Media Technology (166 citations) and Computational Mathematics (10 citations). Chen Xu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Rachel Williams, Yi Tang, Gabriela Czanner, Lu Zhang, Bryan M. Williams, Yalin Zheng, S. Rao Vallabhaneni, Wen‐Bin Zou, George Baciu and Xizhao Wang. Their work appears in journals such as Carbon, IEEE Access 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.